Added hipamd and MIOpenTensile to manifest.

Update manifest for ROCm 4.5 release.

README.md

@@ -1,376 +1,592 @@
-# AMD ROCm Release Notes v3.5.0
-This page describes the features, fixed issues, and information about downloading and installing the ROCm software.
-It also covers known issues and deprecated features in the ROCm v3.5.0 release.
 
-- [Supported Operating Systems and Documentation Updates](#Supported-Operating-Systems-and-Documentation-Updates)
-  * [Supported Operating Systems](#Supported-Operating-Systems)
-  * [Documentation Updates](#Documentation-Updates)
+
+# AMD ROCm™ v4.5 Release Notes 
+
+This document describes the features, fixed issues, and information about downloading and installing the AMD ROCm™ software. It also covers known issues and deprecations in this release.
+
+- Supported Operating Environments and Documentation Updates
+  * [Supported Operating Environments](#Supported-Operating-Environments)
+  * [ROCm Installation Updates](#ROCm-Installation-Updates)
+  * [AMD ROCm Documentation Updates](#AMD-ROCm-Documentation-Updates)
+
    
-- [What\'s New in This Release](#Whats-New-in-This-Release)
-  * [Upgrading to This Release](#Upgrading-to-This-Release)
-  * [Heterogeneous-Compute Interface for Portability](#Heterogeneous-Compute-Interface-for-Portability)
-  * [Radeon Open Compute Common Language Runtime](#Radeon-Open-Compute-Common-Language-Runtime)
-  * [OpenCL Runtime](#OpenCL-Runtime)
-  * [AMD ROCm GNU Debugger ROCgdb](#AMD-ROCm-GNU-Debugger-ROCgdb)
-  * [AMD ROCm Debugger API Library](#AMD-ROCm-Debugger-API-Library)
-  * [rocProfiler Dispatch Callbacks Start/Stop API](#rocProfiler-Dispatch-Callbacks-Start-Stop-API)
-  * [ROCm Communications Collective Library](#ROCm-Communications-Collective-Library)
-  * [NVIDIA Communications Collective Library Version Compatibility](#NVIDIA-Communications-Collective-Library-Version-Compatibility)
-  * [MIOpen Optional Kernel Package Installation](#MIOpen-Optional-Kernel-Package-Installation)
-  * [New SMI Event Interface and Library](#New-SMI-Event-Interface-and-Library)
-  * [API for CPU Affinity](#API-for-CPU-Affinity)
-  * [Radeon Performance Primitives Library](#Radeon-Performance-Primitives-Library)
-  
-  
-- [Fixed Issues](#Fixed-Issues)
+- What\'s New in This Release
+  * [HIP Enhancements](#HIP-Enhancements)
+  * [Unified Memory Support in ROCm](#Unified-Memory-Support-in-ROCm)
+  * [System Management Interface](#System-Management-Interface) 
+  * [ROCm Math and Communication Libraries](#ROCm-Math-and-Communication-Libraries)
+  * [OpenMP Enhancements](#OpenMP-Enhancements)   
 
-- [Known Issues](#Known-Issues)
+- Known Issues in This Release
+  * [Known Issues in This Release](#Known-Issues-in-This-Release)
 
-- [Deprecations](#Deprecations)
-  * [Heterogeneous Compute Compiler](#Heterogeneous-Compute-Compiler)
+- Deprecations in This Release
+  * [Deprecations](#Deprecations)
 
-- [Deploying ROCm](#Deploying-ROCm)
- 
 - [Hardware and Software Support](#Hardware-and-Software-Support)
 
 - [Machine Learning and High Performance Computing Software Stack for AMD GPU](#Machine-Learning-and-High-Performance-Computing-Software-Stack-for-AMD-GPU)
   * [ROCm Binary Package Structure](#ROCm-Binary-Package-Structure)
   * [ROCm Platform Packages](#ROCm-Platform-Packages)
-
-# Supported Operating Systems and Documentation Updates
-
-## Supported Operating Systems 
-
-The AMD ROCm v3.5.x platform is designed to support the following operating systems:
-
-* Ubuntu 16.04.6(Kernel 4.15) and 18.04.4(Kernel 5.3)
-* CentOS 7.7 (Kernel 3.10-1062) and RHEL 7.8(Kernel 3.10.0-1127)(Using devtoolset-7 runtime support)
-* SLES 15 SP1
-* CentOS and RHEL 8.1(Kernel 4.18.0-147)
+  
 
 
-## Documentation Updates
 
-### HIP-Clang Compile
+# ROCm Installation Updates
 
-* [HIP FAQ - Transition from HCC to HIP-Clang](https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-FAQ.html#hip-faq)
-* [HIP-Clang Porting Guide](https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-porting-guide.html#hip-porting-guide)
-* [HIP - Glossary of Terms](https://rocmdocs.amd.com/en/latest/ROCm_Glossary/ROCm-Glossary.html)
+This document describes the features, fixed issues, and information
+about downloading and installing the AMD ROCm™ software.
 
-### AMD ROCDebugger (ROCgdb)
+It also covers known issues and deprecations in this release.
 
-* [ROCgdb User Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/gdb.pdf)
-* [ROCgdbapi Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/amd-dbgapi.pdf)
+## Supported Operating Environments
 
-### AMD ROCm Systems Management Interface
+The AMD ROCm platform supports the following operating systems:
 
-* [System Management Interface Event API Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual.pdf)
-
-### AMD ROCm Deep Learning
-
-* [MIOpen API](https://github.com/ROCmSoftwarePlatform/MIOpen)
-
-### AMD ROCm Glossary of Terms
-
-* [Updated Glossary of Terms and Definitions](https://rocmdocs.amd.com/en/latest/ROCm_Glossary/ROCm-Glossary.html)
-
-### General AMD ROCm Documentatin Links
-
-Access the following links for more information on:
-
-* For AMD ROCm documentation, see 
-
-  https://rocmdocs.amd.com/en/latest/
-
-* For installation instructions on supported platforms, see
-
-  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
-
-* For AMD ROCm binary structure, see
-
-  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#machine-learning-and-high-performance-computing-software-stack-for-amd-gpu-v3-3-0
-
-* For AMD ROCm Release History, see
-
-  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#amd-rocm-version-history
+| OS                | Kernel              |
+| ---               | ---                 |
+| SLES15 SP3        | 5.3.18-24.49        |
+| RHEL 7.9          | 3.10.0-1160.6.1.el7 |
+| CentOS 7.9        | 3.10.0-1127         |
+| RHEL 8.4          | 4.18.0-193.1.1.el8  |
+| CentOS 8.3        | 4.18.0-193.el8      |
+| Ubuntu 18.04.5    | 5.4.0-71-generic    |
+| Ubuntu 20.04.3HWE | 5.8.0-48-generic    |
+| Host OS           | Azure RS1.86        |
+| Guest OS          | Ubuntu 20.04        |
 
 
-# What\'s New in This Release
 
-## Upgrading to This Release
+## Enhanced Installation Process for ROCm v4.5
 
-You must perform a fresh and a clean AMD ROCm install to successfully upgrade from v3.3 to v3.5. The following changes apply in this release: 
+In addition to the installation method using the native Package Manager, AMD ROCm v4.5 introduces added methods to install ROCm. With this
+release, the ROCm installation uses the *amdgpu-install* and *amdgpu-uninstall* scripts. 
 
-* HCC is deprecated and replaced with the HIP-Clang compiler
-* HIP-HCC runtime is changed to Radeon Open Compute Common Language Runtime (HIP-ROCClr)
-* In the v3.5 release, the firmware is separated from the kernel package. The difference is as    follows:
-     * v3.5 release has two separate rock-dkms and rock-dkms-firmware packages
-     * v3.3 release had the firmware as part of the rock-dkms package
+The *amdgpu-install* script streamlines the installation process by:
+
+-   Abstracting the distribution-specific package installation logic
+
+-   Performing the repository set-up
+
+-   Allowing user to specify the use case and automating the installation of all the required packages,
+
+-   Performing post-install checks to verify whether the installation was performed successfully
+
+-   Installing the uninstallation script
+
+The *amdgpu-uninstall* script allows the removal of the entire ROCm stack by using a single command.
+
+Some of the ROCm-specific use cases that the installer currently supports are:
+
+-   OpenCL (ROCr/KFD based) runtime
+
+-   HIP runtimes
+
+-   ROCm libraries and applications
+
+-   ROCm Compiler and device libraries
+
+-   ROCr runtime and thunk
+
+**Note:** Graphics use cases are not supported in this release.
+
+For more details, refer to the AMD ROCm Installation Guide v4.5 at,
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation_new.html
+
+
+# AMD ROCm Documentation Updates 
+
+## AMD ROCm Installation Guide 
+
+The AMD ROCm Installation Guide in this release includes the following
+updates:
+
+-   New - Installation Guide for ROCm v4.5
+
+    https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation_new.html
+
+
+## AMD Instinct™ High Performance Computing and Tuning
+
+- New - AMD Instinct™ High Performance Computing and Tuning Guide 
+
+   https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD%20Instinct%E2%84%A2High%20Performance%20Computing%20and%20Tuning%20Guide.pdf
+   
+   
+## HIP Documentation
+
+-  HIP installation instructions
+
+   https://rocmdocs.amd.com/en/latest/Installation_Guide/HIP-Installation.html
+
+-   HIP Programming Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_HIP_Programming_Guide.pdf
+
+-   HIP API Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD-HIP-API-4.5.pdf
+
+-   HIP-Supported CUDA API Reference Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_HIP_Supported_CUDA_API_Reference_Guide.pdf
+
+-   AMD ROCm Compiler Reference Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_Compiler_Reference_Guide_v4.5.pdf
+
+-   HIP FAQ
+
+    <https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-FAQ.html#hip-faq>
+   
+
+## System Interface Management
+
+-   System Interface Management (SMI)
+
+    https://rocmdocs.amd.com/en/latest/ROCm_System_Managment/ROCm-System-Managment.html
+    
+
+## AMD ROCm Data Center Tool
+
+- AMD ROCm Data Center Tool API Guide
+
+  https://github.com/RadeonOpenCompute/ROCm/blob/master/RDC_API_Manual_4.5.pdf
+  
+- AMD ROCm Data Center Tool User Guide
+
+  https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_ROCm_DataCenter_Tool_User_Guide_v4.5.pdf
+
+## ROCm SMI API Guide
+
+-   ROCm SMI API Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual_4.5.pdf
+
+## ROC Debugger User and API Guide 
+
+-   ROCDebugger User Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCDebugger_User_Guide.pdf
+
+-   Debugger API Guide
+
+    https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCDebugger_API_Guide.pdf
+    
+## OpenMP Documentation
+
+- Updated OpenMP documentation 
+
+  https://rocmdocs.amd.com/en/latest/Programming_Guides/openmp_support.html
+  
+
+## AMD ROCm General Documentation Links
+
+-   For AMD ROCm documentation, see
+
+    https://rocmdocs.amd.com/en/latest/
+
+-   For installation instructions on supported platforms, see
+
+    https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+-   For AMD ROCm binary structure, see
+
+    https://rocmdocs.amd.com/en/latest/Installation_Guide/Software-Stack-for-AMD-GPU.html
+
+-   For AMD ROCm release history, see
+
+    https://rocmdocs.amd.com/en/latest/Current_Release_Notes/ROCm-Version-History.html
+
+
+# What's New in This Release 
+
+## HIP Enhancements
+
+The ROCm v4.5 release consists of the following HIP enhancements:
+
+### HIP Direct Dispatch
+
+The conventional producer-consumer model where the host thread(producer) enqueues commands to a command queue (per stream), which is then
+processed by a separate, per-stream worker thread (consumer) created by the runtime, is no longer applicable.
+
+In this release, for Direct Dispatch, the runtime directly queues a packet to the AQL queue (user mode queue to GPU) in Dispatch and some of
+the synchronization. This new functionality indicates the total latency of the HIP Dispatch API and the latency to launch the first wave on the
+GPU.
+
+In addition, eliminating the threads in runtime has reduced the variance in the dispatch numbers as the thread scheduling delays and
+atomics/locks synchronization latencies are reduced.
+
+This feature can be disabled by setting the following environment variable,
+
+```     
+     AMD_DIRECT_DISPATCH=0
+
+```
+
+### Support for HIP Graph 
+
+ROCm v4.5 extends support for HIP Graph. For details, refer to the HIP
+API Guide at
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD-HIP-API-4.5.pdf
+
+### Enhanced *launch_bounds* Check Error Log Message 
+
+When a kernel is launched with HIP APIs, for example, hipModuleLaunchKernel(), HIP validates to check that input kernel
+dimension size is not larger than specified launch_bounds.
+
+If exceeded, HIP returns launch failure if AMD_LOG_LEVEL is set with the proper value. Users can find more information in the error log message,
+including launch parameters of kernel dim size, launch bounds, and the name of the faulting kernel. It is helpful to figure out the faulting
+kernel. Besides, the kernel dim size and launch bounds values will also assist in debugging such failures.
+
+For more details, refer to the HIP Programming Guide at
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_HIP_Programming_Guide.pdf
+
+
+### HIP Runtime Compilation
+
+HIP now supports runtime compilation (hipRTC), the usage of which will provide the possibility of optimizations and performance improvement
+compared with other APIs via regular offline static compilation. 
+
+hipRTC APIs accept HIP source files in character string format as input parameters and create handles of programs by compiling the HIP source
+files without spawning separate processes.
+
+For more details on hipRTC APIs, refer to the HIP API Guide at
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD-HIP-API-4.5.pdf
+
+### New Flag for Backwards Compatibility on float/double atomicAdd Function
+
+In the ROCm4.5 release, a new compilation flag is introduced as an
+option in the CMAKE file. This flag ensures backwards compatibility in
+float/double atomicAdd functions.
+
+```   
+     \_\_HIP_USE_CMPXCHG_FOR_FP_ATOMICS
+```   
+
+This compilation flag is not set("0") by default, so the HIP runtime uses the current float/double atomicAdd functions.
+
+If this compilation flag is set to "1" with the CMAKE option, the existing float/double atomicAdd functions is used for compatibility with
+compilers that do not support floating point atomics.
+
+```  
+     D\_\_HIP_USE_CMPXCHG_FOR_FP_ATOMICS=1
+```  
+For details on how to build the HIP runtime, refer to the HIP Programming Guide at
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_HIP_Programming_Guide.pdf
+
+
+
+### Updated HIP Version Definition
+
+The HIP version definition is updated as follows:
+
+```  
+     HIP_VERSION=HIP_VERSION_MAJOR \* 10000000 + HIP_VERSION_MINOR \*
+     100000 + HIP_VERSION_PATCH)
+```  
+
+The HIP version can be queried from the following HIP API call,
+
+```  
+     hipRuntimeGetVersion(&runtimeVersion);
+```  
+
+The version returned is always greater than the versions in the previous
+ROCm releases.
+
+**Note:** The version definition of the HIP runtime is different from that of CUDA. The function returns the HIP runtime version on the AMD
+platform, while on the NVIDIA platform, it returns the CUDA runtime version. There is no mapping or a correlation between the HIP and CUDA
+versions.
+
+
+
+### Planned HIP Enhancements and Fixes
+
+#### Changes to hiprtc implementation to match nvrtc behavior
+
+In this release, there are changes to the *hiprtc* implementation to
+match the *nvrtc* behavior.
+
+**Impact:** Applications can no longer explicitly include HIP runtime header files. Minor code changes are required to remove the HIP runtime
+header files.
+
+#### HIP device attribute enumeration
+
+In a future release, there will be a breaking change in the HIP device attribute enumeration. Enum values are being rearranged to accommodate
+future enhancements and additions.
+
+**Impact:** This will require users to rebuild their applications. No code changes are required.
+
+#### Changes to behavior of hipGetLastError() and hipPeekAtLastError() to match CUDA behavior available
+
+In a later release, changes to behavior of hipGetLastError() and hipPeekAtLastError() to match CUDA behavior will be available.
+
+**Impact:** Applications relying on the previous behavior will be impacted and may require some code changes.
+
+## Unified Memory Support in ROCm
+
+Unified memory allows applications to map and migrate data between CPU and GPU seamlessly without explicitly copying it between different
+allocations. This enables a more complete implementation of *hipMallocManaged*, *hipMemAdvise*, *hipMemPrefetchAsync* and related
+APIs. Without unified memory, these APIs only support system memory. With unified memory, the driver can automatically migrate such memory to
+GPU memory for faster access.
+
+### Supported Operating Systems and Versions
+
+This feature is only supported on recent Linux kernels. Currently, it works on Ubuntu versions with 5.6 or newer kernels and the DKMS driver
+from ROCm. Current releases of RHEL and SLES do not support this feature yet. Future releases of those distributions will add support for this.
+The unified memory feature is also supported in the KFD driver included with upstream kernels starting from Linux 5.14.
+
+Unified memory only works on GFXv9 and later GPUs, including Vega10 and MI100. Fiji, Polaris and older GPUs are not supported. To check whether
+unified memory is enabled, look in the kernel log for this message:
+
+```  
+     \$ dmesg \| grep \"HMM registered"
+```  
+
+If unified memory is enabled, there should be a message like "HMM registered xyzMB device memory". If unified memory is not supported on
+your GPU or kernel version, this message is missing.
+
+### Unified Memory Support and XNACK
+
+Unified memory support comes in two flavours, XNACK-enabled and XNACK-disabled. XNACK refers to the ability of the GPU to handle page
+faults gracefully and retry a memory access. In XNACK-enabled mode, the GPU can handle retry after page-faults, which enables mapping and
+migrating data on demand, as well as memory overcommitment. In XNACK-disabled mode, all memory must be resident and mapped in the GPU
+page tables when the GPU is executing application code. Any migrations involve temporary preemption of the GPU queues by the driver. Both page
+fault handling and preemptions, happen automatically and are transparent to the applications.
+
+XNACK-enabled mode only has experimental support. XNACK-enabled mode requires compiling shader code differently. By default, the ROCm
+compiler builds code that works in both modes. Code can be optimized for one specific mode with compiler options:
+
+OpenCL:
+
+```  
+     clang \... -mcpu=gfx908:***xnack+***:sramecc- \... // xnack on, sramecc off\
+     clang \... -mcpu=gfx908:***xnack-***:sramecc+ \... // xnack off, sramecc on
+```  
+
+HIP:
+```  
+     clang \... \--cuda-gpu-arch=gfx906:xnack+ \... // xnack on\
+     clang \... \--cuda-gpu-arch=gfx906:xnack- \... // xnack off
+```  
+Not all the math libraries included in ROCm support XNACK-enabled mode on current hardware. Applications will fail to run if their shaders are
+compiled in the incorrect mode.
+
+On current hardware, the XNACK mode can be chosen at boot-time by a module parameter amdgpu.noretry. The default is XNACK-disabled
+(amdgpu.noretry=1).
+
+## System Management Interface 
+
+### Enhanced ROCm SMI --setpoweroverdrive Functionality
+
+The ROCm System Management Interface (SMI) *--setpoweroverdrive* functionality is used to lower the power cap on a device without needing
+to enable the OverDrive functionality in the driver. Similarly, even with the OverDrive driver functionality enabled, it is possible to
+request a lower power cap than the card's default.
+
+Currently, any use of the *--setpoweroverdrive* functionality in rocm-smi prints an out-of-spec warning to the screen and requires the
+user to agree that using this functionality potentially voids their warranty. However, this warning should only be printed when users are
+trying to set the power cap to higher than the card's default, which requires the OverDrive driver functionality to be enabled.
+
+For example:
+
+The default power cap is 225.0W before any changes.
+
+```
+
+     \[atitest\@rhel85 smi\]\$ ./rocm_smi.py --resetpoweroverdrive
+     ======================= ROCm System Management Interface =======================
+
+     ========================== Reset GPU Power OverDrive ===========================
+
+     GPU\[0\] : Successfully reset Power OverDrive to: 225W
+     ============================ End of ROCm SMI Log ============================
+
+     Now, after using --setpoweroverdrive to lower the power cap to 123
+     watts:
+
+     \[atitest\@rhel85 smi\]\$ ./rocm_smi.py --setpoweroverdrive 123
+     ======================= ROCm System Management Interface =======================
+
+     =========================== Set GPU Power OverDrive ============================
+
+     GPU\[0\] : Successfully set power to: 123W
+     ======================= End of ROCm SMI Log ==============================
+
+     Setting a power cap lower than the default of 225.0W (in this case,
+     123W) does not give a warning.
+
+     To verify that the power is set to the correct value:
+
+     \[atitest\@rhel85 smi\]\$ ./rocm_smi.py --showmaxpower
+     ======================= ROCm System Management Interface =======================
+
+     ======================== Power Cap ===================================
+
+     GPU\[0\] : Max Graphics Package Power (W): 123.0
+     ========================End of ROCm SMI Log ==============================
+```
+
+
+## OpenMP Enhancements
+
+The ROCm installation includes an LLVM-based implementation, which fully
+supports OpenMP 4.5 standard and a subset of the OpenMP 5.0 standard.
+Fortran and C/C++ compilers and corresponding runtime libraries are
+included. Along with host APIs, the OpenMP compilers support offloading
+code and data onto GPU devices.
+
+For more information, refer to
+
+<https://rocmdocs.amd.com/en/latest/Programming_Guides/openmp_support.html>
+
+## ROCm Math and Communication Libraries
+
+In this release, ROCm Math and Communication Libraries consists of the
+following enhancements and fixes:
+
+| Library   | Changes                                                  |
+| ---       | ---                                                      |
+| rocBLAS | **Optimizations** <ul><li>Improved performance of non-batched and batched syr for all sizes and data types</li><li>Improved performance of non-batched and batched hemv for all sizes and data types</li><li>Improved performance of non-batched and batched symv for all sizes and data types</li><li>Improved memory utilization in rocblas-bench, rocblas-test gemm functions, increasing possible runtime sizes.</li></ul>**Changes** <ul><li>Update from C++14 to C++17.</li>  <li>Packaging split into a runtime package (called rocblas) and a development package (called rocblas-dev for .deb packages, and rocblas-devel for .rpm packages). The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The 'suggest' feature in packaging is introduced as a deprecated feature and will be removed in a future ROCm release.</li></ul> **Fixed**<ul><li>For function geam avoid overflow in offset calculation.</li>  <li> For function syr avoid overflow in offset calculation.</li> <li>For function gemv (Transpose-case) avoid overflow in offset calculation.</li> <li>For functions ssyrk and dsyrk, allow conjugate-transpose case to match legacy BLAS. Behavior is the same as the transpose case.</li></ul> |
+| hipBLAS| **Added**<ul><li>More support for hipblas-bench</li></ul>**Fixed**<ul><li>Avoid large offset overflow for gemv and hemv in hipblas-test</li></ul>**Changed**<ul><li>Packaging split into a runtime package called hipblas and a development package called hipblas-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The 'suggests' feature in packaging is a transitional feature and will be removed in a future rocm release.</li></ul> |
+| rocFFT | **Optimizations**<ul><li>Optimized SBCC kernels of length 52, 60, 72, 80, 84, 96, 104, 108, 112, 160, 168, 208, 216, 224, 240 with new kernel generator.</li></ul>**Added**<ul><li>Split 2D device code into separate libraries.</li> </ul>**Changed**<ul><li>Packaging split into a runtime package called rocfft and a development package called rocfft-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The suggests feature in packaging is introduced as a deprecated feature and will be removed in a future rocm release.</li></ul>**Fixed**<ul><li>Fixed a few validation failures of even-length R2C inplace. 2D, 3D cubics sizes such as 100^2 (or ^3), 200^2 (or ^3), 256^2 (or ^3)...etc. We don't combine the three kernels (stockham-r2c-transpose). We only combine two kernels (r2c-transpose) instead.</li></ul> |
+| hipFFT | **Changed**  <ul><li>Packaging split into a runtime package called hipfft and a development package called hipfft-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The 'suggests' feature in packaging is a transitional feature and will be removed in a future rocm release.</li></ul> |
+| rocSPARSE | **Added** <ul><li>Triangular solve for multiple right-hand sides using BSR format</li> <li>SpMV for BSRX format</li> <li>SpMM in CSR format enhanced to work with transposed A</li> <li>Matrix coloring for CSR matrices </li><li>Added batched tridiagonal solve (gtsv_strided_batch)</li></ul> **Improved** <ul><li>Fixed a bug with gemvi on Navi21 </li><li>Optimization for pivot based gtsv</li></ul> |
+| hipSPARSE | **Added** <ul><li>Triangular solve for multiple right-hand sides using BSR format</li> <li>SpMV for BSRX format</li> <li>SpMM in CSR format enhanced to work with transposed A</li> <li>Matrix coloring for CSR matrices </li>  <li>Added batched tridiagonal solve (gtsv_strided_batch)</li></ul> **Improved** <ul><li>Fixed a bug with gemvi on Navi21</li> <li>Optimization for pivot based gtsv</li></ul> |
+| rocALUTION | **Changed** <ul><li>Packaging split into a runtime package called rocalution and a development package called rocalution-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The 'suggests' feature in packaging is a transitional feature and will be removed in a future rocm release.</li></ul> **Improved** <ul><li>(A)MG solving phase optimization</li></ul> |
+| rocTHRUST | **Changed**  <ul><li>Packaging changed to a development package (called rocthrust-dev for .deb packages, and rocthrust-devel for .rpm packages). As rocThrust is a header-only library, there is no runtime package. To aid in the transition, the development package sets the "provides" field to provide the package rocthrust, so that existing packages depending on rocthrust can continue to work. The 'provides' feature is a transitional feature and will be removed in a future ROCm release.</li></ul> |
+| rocSOLVER | **Added** <ul><li>RQ factorization routines:</li><li>GERQ2, GERQF (with batched and strided_batchedversions)</li>  <li>Linear solvers for general square systems:</li> <li>GESV (with batched and strided_batched versions)</li><li>Linear solvers for symmetric/hermitian positive definite systems:</li> <li>POTRS (with batched and strided_batched versions)</li> <li>POSV (with batched and strided_batched versions) </li> <li>Inverse of symmetric/hermitian positive definite matrices:</li><li>POTRI (with batched and strided_batched versions)</li> <li>General matrix inversion without pivoting:  </li>  <li>GETRI_NPVT (with batched and strided_batched versions)</li> <li>GETRI_NPVT_OUTOFPLACE (with batched and  strided_batched versions)</li></ul>**Optimized**<ul><li>Improved performance of LU factorization (especially for large matrix sizes)</li> <li>Changed</li>  <li>Raised reference LAPACK version used for rocSOLVER test and benchmark clients to v3.9.1</li>  <li>Minor CMake improvements for users building from source without install.sh:</li> <li>Removed fmt::fmt from rocsolver\'s public usage requirements</li> <li>Enabled small-size optimizations by default </li>  <li>Split packaging into a runtime package ('rocsolver') and a development package ('rocsolver-devel'). The development package depends on the runtime package. To aid in the transition, the runtime package suggests the development package (except on CentOS 7). This use of the 'suggests feature' is transitional and will be removed in a future ROCm release.</li></ul> **Fixed** <ul><li>Use of the GCC / Clang __attribute__((deprecated(...))) extension is now guarded by compiler detection macros. |
+| hipSOLVER | The following functions were added in this release:<ul><li>gesv</li><ul><li>hipsolverSSgesv_bufferSize, hipsolverDDgesv_bufferSize, hipsolverCCgesv_bufferSize, hipsolverZZgesv_bufferSize</li><li>hipsolverSSgesv, hipsolverDDgesv, hipsolverCCgesv, hipsolverZZgesv</li></ul><li>potrs</li><ul><li>hipsolverSpotrs_bufferSize, hipsolverDpotrs_bufferSize, hipsolverCpotrs_bufferSize, hipsolverZpotrs_bufferSize</li><li>hipsolverSpotrs, hipsolverDpotrs, hipsolverCpotrs, hipsolverZpotrs</li></ul><li>potrsBatched</li><ul><li>hipsolverSpotrsBatched_bufferSize, hipsolverDpotrsBatched_bufferSize, hipsolverCpotrsBatched_bufferSize, hipsolverZpotrsBatched_bufferSize</li><li>hipsolverSpotrsBatched, hipsolverDpotrsBatched, hipsolverCpotrsBatched, hipsolverZpotrsBatched</li></ul><li>potri</li><ul><li>hipsolverSpotri_bufferSize, hipsolverDpotri_bufferSize, hipsolverCpotri_bufferSize, hipsolverZpotri_bufferSize</li><li>hipsolverSpotri, hipsolverDpotri, hipsolverCpotri, hipsolverZpotri</li></ul></ul></li></ul> |
+| RCCL | **Added** <ul><li>Compatibility with NCCL 2.9.9 </li></ul>**Changed**  <ul><li>Packaging split into a runtime package called rccl and a development package called rccl-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The 'suggests' feature in packaging is a tranistional feature and will be removed in a future rocm release.</li></ul> |
+| hipCUB | **Changed**  <ul><li>Packaging changed to a development package (called hipcub-dev for .deb packages, and hipcub-devel for .rpm packages). As hipCUB is a header-only library, there is no runtime package. To aid in the transition, the development package sets the "provides" field to provide the package hipcub, so that existing packages depending on hipcub can continue to work. This provides feature is introduced as a deprecated feature and will be removed in a future ROCm release.</li></ul> |
+| rocPRIM| **Added** <ul><li>bfloat16 support added.</li></ul> **Changed**  <ul><li>Packaging split into a runtime package called rocprim and a development package called rocprim-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The suggests feature in packaging is introduced as a deprecated feature and will be removed in a future rocm release.</li> <li>As rocPRIM is a header-only library, the runtime package is an empty placeholder used to aid in the transition. This package is also a deprecated feature and will be removed in a future rocm release.</li></ul> **Deprecated** <ul><li>The warp_size() function is now deprecated; please switch to host_warp_size() and device_warp_size() for host and device references respectively.</li></ul> |
+| rocRAND| **Changed**  <ul><li>Packaging split into a runtime package called rocrand and a development package called rocrand-devel. The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The suggests feature in packaging is introduced as a deprecated feature and will be removed in a future rocm release.</li></ul> **Fixed** <ul><li>Fix for mrg_uniform_distribution_double generating incorrect range of values</li> <li>Fix for order of state calls for log_normal, normal, and uniform</li></ul> **Known issues**  <ul><li>kernel_xorwow test is failing for certain GPU architectures.</li></ul> |
+
+For more information about ROCm Libraries, refer to the documentation at
+
+<https://rocmdocs.amd.com/en/latest/ROCm_Libraries/ROCm_Libraries.html>
+
+# Known Issues in This Release 
+
+The following are the known issues in this release.
+
+## clinfo and rocminfo Do Not Display Marketing Name
+
+clinfo and rocminfo display a blank field for Marketing Name. 
+
+This is due to a missing package that is not yet available from ROCm. This package will be distributed in future ROCm releases.
+
+## Compiler Support for Function Pointers and Virtual Functions
+
+A known issue in the compiler support for function pointers and virtual functions on the GPU may cause undefined behavior due to register
+corruption. 
+
+A temporary workaround is to compile the affected application with this option:
+
+```
+     -mllvm -amdgpu-fixed-function-abi=1
      
+ ```
 
-## rocProf Command Line Tool Python Requirement
-SQLite3 is a required Python module for the rocprof command-line tool.  You can install the SQLite3 Python module using the pip utility and set env var ROCP_PYTHON_VERSION to the Python version, which includes the SQLite3 module.
+**Note:** This is an internal compiler flag and may be removed without notice once the issue is addressed in a future release.
 
 
+## Debugger Process Exit May Cause ROCgdb Internal Error
 
-## Heterogeneous-Compute Interface for Portability
-
-In this release, the Heterogeneous Compute Compiler (HCC) compiler is deprecated and the HIP-Clang compiler is introduced for compiling Heterogeneous-Compute Interface for Portability (HIP) programs.
-
-NOTE: The HCC environment variables will be gradually deprecated in subsequent releases.
-
-The majority of the codebase for the HIP-Clang compiler has been upstreamed to the Clang trunk. The HIP-Clang implementation has undergone a strict code review by the LLVM/Clang community and comprehensive tests consisting of LLVM/Clang build bots. These reviews and tests resulted in higher productivity, code quality, and lower cost of maintenance.
-
-![ScreenShot](HIPClang2.png)
-
-For most HIP applications, the transition from HCC to HIP-Clang is transparent and efficient as the HIPCC and HIP cmake files automatically choose compilation options for HIP-Clang and hide the difference between the HCC and HIP-Clang code. However, minor changes may be required as HIP-Clang has a stricter syntax and semantic checks compared to HCC.
-
-NOTE: Native HCC language features are no longer supported.
-
-## Radeon Open Compute Common Language Runtime
-In this release,  the HIP runtime API is implemented on top of Radeon Open Compute Common Language Runtime (ROCclr). ROCclr is an abstraction layer that provides the ability to interact with different runtime backends such as ROCr.
-
-## OpenCL Runtime
-The following OpenCL runtime changes are made in this release:
-
-* AMD ROCm OpenCL Runtime extends support to OpenCL2.2
-* The developer branch is changed from master to master-next
-
-## AMD ROCm GNU Debugger (ROCgdb)
-The AMD ROCm Debugger (ROCgdb) is the AMD ROCm source-level debugger for Linux based on the GNU Debugger (GDB). It enables heterogeneous debugging on the AMD ROCm platform of an x86-based host architecture along with AMD GPU architectures and supported by the AMD Debugger API Library (ROCdbgapi).
-
-The AMD ROCm Debugger is installed by the rocm-gdb package. The rocm-gdb package is part of the rocm-dev meta-package, which is in the rocm-dkms package.
-
-The current AMD ROCm Debugger (ROCgdb) is an initial prototype that focuses on source line debugging. Note, symbolic variable debugging capabilities are not currently supported.
-
-You can use the standard GDB commands for both CPU and GPU code debugging. For more information about ROCgdb, refer to the ROCgdb User Guide, which is installed at:
-
-* /opt/rocm/share/info/gdb.info as a texinfo file
-* /opt/rocm/share/doc/gdb/gdb.pdf as a PDF file
-
-The AMD ROCm Debugger User Guide is available as a PDF at:
-
-https://github.com/RadeonOpenCompute/ROCm/blob/master/gdb.pdf
+If the debugger process exits during debugging, ROCgdb may report internal errors. This issue occurs as it attempts to access the AMD GPU
+state for the exited process. To recover, users must restart ROCgdb.
  
-For more information about GNU Debugger (GDB), refer to the GNU Debugger (GDB) web site at: http://www.gnu.org/software/gdb
+As a workaround, users can set breakpoints to prevent the debugged process from exiting. For example, users can set breakpoints at the last
+statement of the main function and in the abort() and exit() functions. This temporary solution allows the application to be re-run without
+restarting ROCgdb.
 
+This issue is currently under investigation and will be fixed in a future release.
 
-## AMD ROCm Debugger API Library 
+For more information, refer to the ROCgdb User Guide at,
 
-The AMD ROCm Debugger API Library (ROCdbgapi) implements an AMD GPU debugger application programming interface (API) that provides the support necessary for a client of the library to control the execution and inspect the state of AMD GPU devices.
+https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCDebugger_User_Guide.pdf
 
-The following AMD GPU architectures are supported:
-* Vega 10 
-* Vega 7nm
+## Cache Issues with ROCProfiler
 
-The AMD ROCm Debugger API Library is installed by the rocm-dbgapi package. The rocm-gdb package is part of the rocm-dev meta-package, which is in the rocm-dkms package.
-The AMD ROCm Debugger API Specification is available as a PDF at:
+When the same kernel is launched back-to-back multiple times on a GPU, a cache flush is executed each time the kernel finishes when profiler data is collected. The cache flush is inserted by ROCprofiler for each kernel. This prevents kernel from being cached, instead it is being read each time it is launched. As a result the cache hit rate from rocprofiler is reported as 0% or very low.
 
-https://github.com/RadeonOpenCompute/ROCm/blob/master/amd-dbgapi.pdf
+This issue is under investigation and will be fixed in a future release. 
 
-## rocProfiler Dispatch Callbacks Start Stop API
+## Stability Issue on LAMMPS-KOKKOS Applications
 
-In this release, a new rocprofiler start/stop API is added to enable/disable GPU kernel HSA dispatch callbacks. The callback can be registered with the 'rocprofiler_set_hsa_callbacks' API. The API helps you eliminate some profiling performance impact by invoking the profiler only for kernel dispatches of interest. This optimization will result in significant performance gains.
+On mGPU machines, lammps-kokkos applications experience a stability issue (AMD Instinct MI100™). 
 
-The API provides the following functions:
-* *hsa_status_t rocprofiler_start_queue_callbacks();* is used to start profiling
-* *hsa_status_t rocprofiler_stop_queue_callbacks();* is used to stop profiling. 
+As a workaround, perform a Translation LookAside Buffer (TLB) flush. 
 
-For more information on kernel dispatches, see the HSA Platform System Architecture Specification guide at http://www.hsafoundation.com/standards/.
+The issue is under active investigation and will be resolved in a future release.
 
-## ROCm Communications Collective Library 
-The ROCm Communications Collective Library (RCCL) consists of the following enhancements:
-* Re-enable target 0x803
-* Build time improvements for the HIP-Clang compiler
 
-### NVIDIA Communications Collective Library Version Compatibility
-AMD RCCL is now compatible with NVIDIA Communications Collective Library (NCCL) v2.6.4 and provides the following features: 
-* Network interface improvements with API v3
-* Network topology detection 
-* Improved CPU type detection
-* Infiniband adaptive routing support
 
-## MIOpen Optional Kernel Package Installation
-MIOpen provides an optional pre-compiled kernel package to reduce startup latency. 
+# Deprecations
 
-NOTE: The installation of this package is optional. MIOpen will continue to function as expected even if you choose to not install the pre-compiled kernel package. This is because MIOpen compiles the kernels on the target machine once the kernel is run. However, the compilation step may significantly increase the startup time for different operations.
+## AMD Instinct MI25 End of Life
 
-To install the kernel package for your GPU architecture, use the following command:
+ROCm release v4.5 is the final release to support AMD Instinct MI25. AMD Instinct MI25 has reached End of Life (EOL). ROCm 4.5 represents the
+last certified release for software and driver support. AMD will continue to provide technical support and issue resolution for AMD
+Instinct MI25 on ROCm v4.5 for a period of 12 months from the software GA date. 
 
-*apt-get install miopen-kernels-<arch>-<num cu>*
- 
-* <arch> is the GPU architecture. For example, gfx900, gfx906
-* <num cu> is the number of CUs available in the GPU. For example, 56 or 64 
- 
+## Planned Deprecation for Code Object Versions 2 and 3 
 
-## New SMI Event Interface and Library
+With the ROCm v4.5 release, the generation of code object versions 2 and 3 is being deprecated and may be removed in a future release. This deprecation notice does not impact support for the execution of AMD GPU code object versions.
 
-An SMI event interface is added to the kernel and ROCm SMI  lib for system administrators to get notified when specific events occur. On the kernel side, AMDKFD_IOC_SMI_EVENTS input/output control is enhanced to allow notifications propagation to user mode through the event channel. 
+The -mcode-object-version Clang option can be used to instruct the compiler to generate a specific AMD GPU code object version. In ROCm v4.5, the compiler can generate AMD GPU code object version 2, 3, and 4, with version 4 being the default if not specified. 
 
-On the ROCm SMI lib side, APIs are added to set an event mask and receive event notifications with a timeout option. Further, ROCm SMI API details can be found in the PDF generated by Doxygen from source or by referring to the rocm_smi.h header file (see the rsmi_event_notification_* functions).
 
-For the more details about ROCm SMI API, see 
 
-https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual.pdf
+# Deploying ROCm
 
-## API for CPU Affinity
-A new API is introduced for aiding applications to select the appropriate memory node for a given accelerator(GPU). 
-
-The API for CPU affinity has the following signature:
-
-*rsmi_status_t rsmi_topo_numa_affinity_get(uint32_t dv_ind, uint32_t *numa_node);*
-
-This API takes as input, device index (dv_ind), and returns the NUMA node (CPU affinity), stored at the location pointed by numa_node pointer, associated with the device.
-
-Non-Uniform Memory Access (NUMA) is a computer memory design used in multiprocessing, where the memory access time depends on the memory location relative to the processor. 
-
-## Radeon Performance Primitives Library
-The new Radeon Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD (CPU and GPU) with the HIP and OpenCL backend. The target operating system is Linux.
-
-![ScreenShot](RPP.png)
-
-For more information about prerequisites and library functions, see 
-
-https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/master/docs
-
-# Fixed Issues
-
-## Device printf Support for HIP-Clang
-HIP now supports the use of printf in the device code. The parameters and return value for the device-side printf follow the POSIX.1 standard, with the exception that the "%n" specifier is not supported. A call to printf blocks the calling wavefront until the operation is completely processed by the host. 
-
-No host-side runtime calls by the application are needed to cause the output to appear. There is also no limit on the number of device-side calls to printf or the amount of data that is printed.
-
-For more details, refer the HIP Programming Guide at:
-https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-GUIDE.html#hip-guide
-
-## Assertions in HIP Device Code  
-Previously, a failing assertion caused early termination of kernels and the application to exit with a line number, file, and failing condition printed to the screen.
-This issue is now fixed and the assert() and abort() functions are implemented for HIP device code. 
-NOTE: There may be a performance impact in the use of device assertions in its current form. 
-
-You may choose to disable the assertion in the production code. For example, to disable an assertion of:
-
-*assert(foo != 0);*    
-
-you may comment it out as:  
-
-*//assert(foo != 0);*
-
-NOTE: Assertions are currently enabled by default. 
-
-# Known Issues 
-The following are the known issues in the v3.5 release.
-
-## HIPify-Clang Installation Failure on CentOS/RHEL 
-
-HIPify-Clang fails to install on CentOS/RHEL with the following error:
-
-*file from install of hipify-clang conflicts with file from package hip-base*
-
-**Workaround**: This is a known issue and the following workaround is recommended for a successful installation of HIPify-Clang on CentOS/RHEL:
-
-* Download HIPify-Clang RPM. For example, *hipify-clang-11.0.0.x86_64.rpm*
-* Perform a force install using the following command: 
-
-  *sudo rpm -ivh --force hipify-clang-11.0.0.x86_64.rpm*
-
-
-## Failure to Process Breakpoint before Queue Destroy Results in ROCm Debugger Error
-When ROCgdb is in non-stop mode with an application that rapidly creates and destroys queues, a breakpoint may be reported that is not processed by the debugger before the queue is deleted. In some cases, this can result in the following error that prevents further debugging:
-
-*[amd-dbgapi]: fatal error: kfd_queue_id 2 should have been reported as a NEW_QUEUE before next_pending_event failed (rc=-2)*
-
-There are no known workarounds at this time.
-
-## Failure to Process Breakpoint before Queue Destroy Results in ROCm Debugger API Error
-
-When the ROCdbgapi library is used with an application that rapidly creates and destroys queues, a breakpoint may be reported that is not processed by the client before the queue is deleted. In some cases, this can result in a fatal error and the following error log message is produced:
-
-*[amd-dbgapi]: fatal error: kfd_queue_id 2 should have been reported as a NEW_QUEUE before next_pending_event failed (rc=-2)*
-
-There are no known workarounds at this time.
-
-## rocThrust and hipCUB Unit Test Failures 
-
-The following unit test failures have been observed due to known issues in the ROCclr runtime. 
-
-rocThrust
-* sort 
-* sort_by_key
-
-hipCUB
-* BlockDiscontinuity 
-* BlockExchange 
-* BlockHistogram 
-* BlockRadixSort
-* BlockReduce 
-* BlockScan
-
-There are no known workarounds in the current release. 
-
-
-## Multiple GPU Configuration Freezes with Imagenet Training and tf_cnn_benchmark on TensorFlow 
-
-A random freeze has been observed with Imagenet training and tf_cnn_benchmark on TensorFlow when multiple GPU configurations are involved. 
-
-There is no freeze observed with single GPUs.  
-
-There are no known workarounds at this time.
-
-## Issue with Running AMD ROCm v3.3 User Mode with AMD ROCm v3.5 DKMS Kernel Module
-
-Running AMD ROCm v3.3 in the user mode with the AMD ROCm v3.5 DKMS kernel module will cause the following features to be broken:
-
-* IPC import/export, cross memory copy (used by UCX and MPI)
-* Experimental GDB support
-
-**Resolution**: Install ROCm v3.5 Thunk (*Hsakmt*) when using ROCm 3.5 Kernel Fusion Driver (KFD).
-
-
-## SQLite3 Library Not Found in ROCProfiler
-
-The ROCProfiler tool appears to be broken when the SQLite3 library is not found.
-
-**Resolution**: Install the SQLite3 Python module separately and ensure the environment variable is set to ROCP_PYTHON_VERSION to confirm the Python version, which includes the SQLite3 module.
-
-
-
-# Deprecations 
-Install ROCm v3.5 Thunk (Hsakmt) when using ROCm 3.5 Kernel Fusion Driver (KFD). You can access the Thunk package at:
-
-https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface
-## Heterogeneous Compute Compiler
-In this release, the Heterogeneous Compute Compiler (HCC) compiler is deprecated and the HIP-Clang compiler is introduced for compiling Heterogeneous-Compute Interface for Portability (HIP) programs.
-
-For more information, see HIP documentation at:
-https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html
-
-
-## Deploying ROCm
-AMD hosts both Debian and RPM repositories for the ROCm v3.5.x packages. 
+AMD hosts both Debian and RPM repositories for the ROCm packages. 
 
 For more information on ROCM installation on all platforms, see
 
 https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
 
-## Hardware and Software Support
+
+# Machine Learning and High Performance Computing Software Stack for AMD GPU
+
+For an updated version of the software stack for AMD GPU, see
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Software-Stack-for-AMD-GPU.html
+
+
+
+# Hardware and Software Support
 ROCm is focused on using AMD GPUs to accelerate computational tasks such as machine learning, engineering workloads, and scientific computing.
 In order to focus our development efforts on these domains of interest, ROCm supports a targeted set of hardware configurations which are detailed further in this section.
 
+**Note:** The AMD ROCm™ open software platform is a compute stack for headless system deployments. GUI-based software applications are currently not supported.
+
 #### Supported GPUs
 Because the ROCm Platform has a focus on particular computational domains, we offer official support for a selection of AMD GPUs that are designed to offer good performance and price in these domains.
 
+**Note:** The integrated GPUs of Ryzen are not officially supported targets for ROCm.
+
 ROCm officially supports AMD GPUs that use following chips:
 
-  * GFX8 GPUs
-    * "Fiji" chips, such as on the AMD Radeon R9 Fury X and Radeon Instinct MI8
-    * "Polaris 10" chips, such as on the AMD Radeon RX 580 and Radeon Instinct MI6
-  * GFX9 GPUs
-    * "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
-    * "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII
+* GFX9 GPUs
+
+  - "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
+  
+  - "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII, Radeon Pro VII
+
+* CDNA GPUs
+
+  - MI100 chips such as on the AMD Instinct™ MI100
+
 
 ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
 Some of this software may work with more GPUs than the "officially supported" list above, though AMD does not make any official claims of support for these devices on the ROCm software platform.
+
 The following list of GPUs are enabled in the ROCm software, though full support is not guaranteed:
 
   * GFX8 GPUs
@@ -383,10 +599,10 @@ As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) w
 
 The integrated GPUs in AMD APUs are not officially supported targets for ROCm.
 As described [below](#limited-support), "Carrizo", "Bristol Ridge", and "Raven Ridge" APUs are enabled in our upstream drivers and the ROCm OpenCL runtime.
-However, they are not enabled in our HCC or HIP runtimes, and may not work due to motherboard or OEM hardware limitations.
+However, they are not enabled in the HIP runtime, and may not work due to motherboard or OEM hardware limitations.
 As such, they are not yet officially supported targets for ROCm.
 
-For a more detailed list of hardware support, please see [the following documentation](https://rocm.github.io/hardware.html).
+For a more detailed list of hardware support, please see [the following documentation](https://en.wikipedia.org/wiki/List_of_AMD_graphics_processing_units).
 
 #### Supported CPUs
 As described above, GFX8 GPUs require PCIe 3.0 with PCIe atomics in order to run ROCm.
@@ -426,26 +642,29 @@ does not require or take advantage of PCIe Atomics. However, we still recommend
 from the list provided above for compatibility purposes.
 
 #### Not supported or limited support under ROCm
+
 ##### Limited support
 
-* ROCm 2.9.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
+* ROCm 4.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
 * Thunderbolt 1, 2, and 3 enabled breakout boxes should now be able to work with ROCm. Thunderbolt 1 and 2 are PCIe 2.0 based, and thus are only supported with GPUs that do not require PCIe 3.1.0 atomics (e.g. Vega 10). However, we have done no testing on this configuration and would need community support due to limited access to this type of equipment.
-* AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
+* AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HIP or our libraries built on top of these compilers and runtimes.
   * As of ROCm 2.1, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
   * In addition, various "Carrizo" and "Bristol Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
   * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
-* AMD "Raven Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
+* AMD "Raven Ridge" APUs are enabled to run OpenCL, but do not yet support HIP or our libraries built on top of these compilers and runtimes.
   * As of ROCm 2.1, "Raven Ridge" requires the use of upstream kernel drivers.
   * In addition, various "Raven Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
   * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
 
 ##### Not supported
 
-* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.9.x
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported.
 * We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe 3.0 with PCIe atomics.
   * As such, we do not support AMD Carrizo and Kaveri APUs as hosts for such GPUs.
   * Thunderbolt 1 and 2 enabled GPUs are not supported by GFX8 GPUs on ROCm. Thunderbolt 1 & 2 are based on PCIe 2.0.
 
+In the default ROCm configuration, GFX8 and GFX9 GPUs require PCI Express 3.0 with PCIe atomics. The ROCm platform leverages these advanced capabilities to allow features such as user-level submission of work from the host to the GPU. This includes PCIe atomic Fetch and Add, Compare and Swap, Unconditional Swap, and AtomicOp Completion.
+
 #### ROCm support in upstream Linux kernels
 
 As of ROCm 1.9.0, the ROCm user-level software is compatible with the AMD drivers in certain upstream Linux kernels.
@@ -472,9 +691,17 @@ For users that have the option of using either AMD's or the upstreamed driver, t
 |      |   | Does not include most up-to-date firmware |
 
 
+# Disclaimer
 
-## Machine Learning and High Performance Computing Software Stack for AMD GPU
+The information presented in this document is for informational purposes only and may contain technical inaccuracies, omissions, and typographical errors.  The information contained herein is subject to change and may be rendered inaccurate for many reasons, including but not limited to product and roadmap changes, component and motherboard versionchanges, new  model and/or product releases, product differences between differing manufacturers, software changes, BIOS flashes, firmware upgrades, or the like. Any computer system has risks of security vulnerabilities that cannot be completely prevented or mitigated.AMD  assumes  no  obligation  to  update  or  otherwise  correct  or  revise  this  information.  However, AMD reserves the right to revise this information and to make changes from time to time to the content hereof without obligation of AMD to notify any person of such revisions or changes.THIS INFORMATION IS PROVIDED ‘AS IS.” AMD MAKES NO REPRESENTATIONS OR WARRANTIES WITH RESPECT  TO  THE  CONTENTS  HEREOF  AND  ASSUMES  NO  RESPONSIBILITY  FOR  ANY  INACCURACIES, ERRORS, OR OMISSIONS THAT MAY APPEAR IN THIS INFORMATION. AMD SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR ANY PARTICULAR PURPOSE.  IN NO EVENT WILL AMD BE LIABLE TO ANY PERSON FOR ANY RELIANCE, DIRECT, INDIRECT, SPECIAL,  OR  OTHER  CONSEQUENTIAL  DAMAGES  ARISING  FROM  THE  USE  OF  ANY  INFORMATION CONTAINED HEREIN, EVEN IF AMD IS EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.AMD,  the  AMD  Arrow  logo,[insert  all  other  AMD  trademarks  used  in  the  material  here  perAMD Trademarks]and combinations thereof are trademarks of Advanced Micro Devices, Inc.Other product names  used  in  this  publication  are  for  identification  purposes  only  and  may  be  trademarks  of  their respective  companies. [Insert  any  third  party  trademark  attribution  here  per  AMD'sThird  Party Trademark List.]
+©[2021]Advanced Micro Devices, Inc.All rights reserved.
+
+Third-party Disclaimer
+Third-party content is licensed to you directly by the third party that owns the content and is not licensed to you by AMD.  ALL LINKED THIRD-PARTY CONTENT IS PROVIDED “AS IS” WITHOUT A WARRANTY OF ANY KIND.  USE OF SUCH THIRD-PARTY CONTENT IS DONE AT YOUR SOLE DISCRETION AND UNDER NO CIRCUMSTANCES WILL AMD BE LIABLE TO YOU FOR ANY THIRD-PARTY CONTENT.  YOU ASSUME ALL RISK AND ARE SOLELY RESPONSIBLE FOR ANY DAMAGES THAT MAY ARISE FROM YOUR USE OF THIRD-PARTY CONTENT. 
+
+
+
+## Disclaimer
+Third-party content is licensed to you directly by the third party that owns the content and is not licensed to you by AMD.  ALL LINKED THIRD-PARTY CONTENT IS PROVIDED “AS IS” WITHOUT A WARRANTY OF ANY KIND.  USE OF SUCH THIRD-PARTY CONTENT IS DONE AT YOUR SOLE DISCRETION AND UNDER NO CIRCUMSTANCES WILL AMD BE LIABLE TO YOU FOR ANY THIRD-PARTY CONTENT.  YOU ASSUME ALL RISK AND ARE SOLELY RESPONSIBLE FOR ANY DAMAGES THAT MAY ARISE FROM YOUR USE OF THIRD-PARTY CONTENT.
 
-For an updated version of the software stack for AMD GPU, see
 
-https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#machine-learning-and-high-performance-computing-software-stack-for-amd-gpu-v3-5-0

default.xml

@@ -1,80 +1,77 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <manifest>
     <remote name="roc-github"
-            fetch="http://github.com/RadeonOpenCompute/" />
+fetch="https://github.com/RadeonOpenCompute/" />
     <remote name="rocm-devtools"
-            fetch="https://github.com/ROCm-Developer-Tools/" />
+fetch="https://github.com/ROCm-Developer-Tools/" />
     <remote name="rocm-swplat"
-            fetch="https://github.com/ROCmSoftwarePlatform/" />
+fetch="https://github.com/ROCmSoftwarePlatform/" />
     <remote name="gpuopen-libs"
-            fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
+fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
     <remote name="gpuopen-tools"
-            fetch="https://github.com/GPUOpen-Tools/" />
-    <remote name="KhronosGroup" 
-            fetch="https://github.com/KhronosGroup/" />
-    <default revision="refs/tags/rocm-3.5.0"
-             remote="roc-github"
-             sync-c="true"
-             sync-j="4" />
-    <!--list of projects for ROCM-->
+fetch="https://github.com/GPUOpen-Tools/" />
+    <remote name="KhronosGroup"
+fetch="https://github.com/KhronosGroup/" />
+    <default revision="refs/tags/rocm-4.5.0"
+     remote="roc-github"
+     sync-c="true"
+     sync-j="4" />
+<!--list of projects for ROCM-->
     <project name="ROCK-Kernel-Driver" />
     <project name="ROCT-Thunk-Interface" />
     <project name="ROCR-Runtime" />
-    <project name="ROC-smi" />
-    <project name="rocm_smi_lib" remote="roc-github" />
+    <project name="rocm_smi_lib" />
     <project name="rocm-cmake" />
     <project name="rocminfo" />
     <project name="rocprofiler" remote="rocm-devtools" />
     <project name="roctracer" remote="rocm-devtools" />
-    <project name="ROCm-OpenCL-Runtime" revision="refs/tags/roc-3.5.0" />
+    <project name="ROCm-OpenCL-Runtime" />
     <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="6c03f8b58fafd9dd693eaac826749a5cfad515f8" />
     <project name="clang-ocl" />
-    <!--HIP Projects-->
-    <project name="HCC-Example-Application" remote="rocm-devtools" revision="ffd6533305e79eed667badd3c4cdb7879a1281b8" />
+<!--HIP Projects-->
     <project name="HIP" remote="rocm-devtools" />
+    <project name="hipamd" remote="rocm-devtools" />
     <project name="HIP-Examples" remote="rocm-devtools" />
-    <project name="ROCclr" remote="rocm-devtools" revision="refs/tags/roc-3.5.0" />
-    <project name="HIPIFY" remote="rocm-devtools" /> 
-    <!-- The following projects are all associated with the AMDGPU LLVM compiler -->
-    <project name="llvm-project" path="llvm_amd-stg-open" /> 
+    <project name="ROCclr" remote="rocm-devtools" />
+    <project name="HIPIFY" remote="rocm-devtools" />
+<!-- The following projects are all associated with the AMDGPU LLVM compiler -->
+    <project name="llvm-project" />
     <project name="ROCm-Device-Libs" />
     <project name="atmi" />
     <project name="ROCm-CompilerSupport" />
-    <project name="rocr_debug_agent" remote="rocm-devtools" revision="refs/tags/roc-3.5.0" />
+    <project name="rocr_debug_agent" remote="rocm-devtools" />
     <project name="rocm_bandwidth_test" />
+    <project name="half" remote="rocm-swplat" revision="37742ce15b76b44e4b271c1e66d13d2fa7bd003e" />
     <project name="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
-    <!-- gdb projects -->
+<!-- gdb projects -->
     <project name="ROCgdb" remote="rocm-devtools" />
     <project name="ROCdbgapi" remote="rocm-devtools" />
-    <!-- ROCm Libraries -->
+<!-- ROCm Libraries -->
+    <project name="rdc" />
     <project name="rocBLAS" remote="rocm-swplat" />
+    <project name="Tensile" remote="rocm-swplat" />
     <project name="hipBLAS" remote="rocm-swplat" />
     <project name="rocFFT" remote="rocm-swplat" />
+    <project name="hipFFT" remote="rocm-swplat" />
     <project name="rocRAND" remote="rocm-swplat" />
     <project name="rocSPARSE" remote="rocm-swplat" />
+    <project name="rocSOLVER" remote="rocm-swplat" />
+    <project name="hipSOLVER" remote="rocm-swplat" />
     <project name="hipSPARSE" remote="rocm-swplat" />
     <project name="rocALUTION" remote="rocm-swplat" />
-    <project name="MIOpenGEMM" remote="rocm-swplat" revision="refs/tags/1.1.6" />
+    <project name="MIOpenGEMM" remote="rocm-swplat" />
     <project name="MIOpen" remote="rocm-swplat" />
+    <project name="MIOpenTensile" remote="rocm-swplat" />
     <project name="rccl" remote="rocm-swplat" />
-    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.7" />
-    <project name="rocSOLVER" remote="rocm-swplat" />
+    <project name="MIVisionX" remote="gpuopen-libs" />
     <project name="rocThrust" remote="rocm-swplat" />
     <project name="hipCUB" remote="rocm-swplat" />
     <project name="rocPRIM" remote="rocm-swplat" />
+    <project name="hipfort" remote="rocm-swplat" />
     <project name="AMDMIGraphX" remote="rocm-swplat" />
     <project name="ROCmValidationSuite" remote="rocm-devtools" />
-    <!-- Projects for AOMP -->
-    <project name="ROCT-Thunk-Interface" path="aomp/roct-thunk-interface" remote="roc-github" />
-    <project name="ROCR-Runtime" path="aomp/rocr-runtime" remote="roc-github" />
-    <project name="ROCm-Device-Libs" path="aomp/rocm-device-libs" remote="roc-github" />
-    <project name="ROCm-CompilerSupport" path="aomp/rocm-compilersupport" remote="roc-github" />
-    <project name="rocminfo" path="aomp/rocminfo" remote="roc-github" />
-    <project name="HIP" path="aomp/hip-on-vdi" remote="rocm-devtools" revision="ffcbd7e63395f8a4d3ccb7e4d5133f8d2dde793e" />
-    <project name="aomp" path="aomp/aomp" remote="rocm-devtools" />
-    <project name="aomp-extras" path="aomp/aomp-extras" remote="rocm-devtools" />
-    <project name="flang" path="aomp/flang" remote="rocm-devtools" />
-    <project name="amd-llvm-project" path="aomp/amd-llvm-project" remote="rocm-devtools" />
-    <project name="ROCclr" path="aomp/vdi" remote="rocm-devtools" revision="72ce2c9783d514fc7da94db40f9f420320df098d" />
-    <project name="ROCm-OpenCL-Runtime" path="aomp/opencl-on-vdi" remote="roc-github" revision="12fb33212c99cb4b596b0f34691e7d044218e3e9" />
+<!-- Projects for OpenMP-Extras -->
+    <project name="aomp" path="openmp-extras/aomp" remote="rocm-devtools" />
+    <project name="aomp-extras" path="openmp-extras/aomp-extras" remote="rocm-devtools" />
+    <project name="flang" path="openmp-extras/flang" remote="rocm-devtools" />
 </manifest>

images/test.rst

@@ -0,0 +1 @@
+

version_history.md

@@ -1,503 +0,0 @@
-## ROCm Version History
-This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)
-
-### Current ROCm Version: 3.3
-- [New features and enhancements in ROCm v3.1](#new-features-and-enhancements-in-rocm-v31)
-- [New features and enhancements in ROCm v3.0](#new-features-and-enhancements-in-rocm-v30)
-- [New features and enhancements in ROCm v2.10](#new-features-and-enhancements-in-rocm-v210)
-- [New features and enhancements in ROCm 2.9](#new-features-and-enhancements-in-rocm-29)
-- [New features and enhancements in ROCm 2.8](#new-features-and-enhancements-in-rocm-28)
-- [New features and enhancements in ROCm 2.7.2](#new-features-and-enhancements-in-rocm-272)
-- [New features and enhancements in ROCm 2.7](#new-features-and-enhancements-in-rocm-27)
-- [New features and enhancements in ROCm 2.6](#new-features-and-enhancements-in-rocm-26)
-- [New features and enhancements in ROCm 2.5](#new-features-and-enhancements-in-rocm-25)
-- [New features and enhancements in ROCm 2.4](#new-features-and-enhancements-in-rocm-24)
-- [New features and enhancements in ROCm 2.3](#new-features-and-enhancements-in-rocm-23)
-- [New features and enhancements in ROCm 2.2](#new-features-and-enhancements-in-rocm-22)
-- [New features and enhancements in ROCm 2.1](#new-features-and-enhancements-in-rocm-21)
-- [New features and enhancements in ROCm 2.0](#new-features-and-enhancements-in-rocm-20)
-- [New features and enhancements in ROCm 1.9.2](#new-features-and-enhancements-in-rocm-192)
-- [New features and enhancements in ROCm 1.9.2](#new-features-and-enhancements-in-rocm-192-1)
-- [New features and enhancements in ROCm 1.9.1](#new-features-and-enhancements-in-rocm-191)
-- [New features and enhancements in ROCm 1.9.0](#new-features-and-enhancements-in-rocm-190)
-- [New features as of ROCm 1.8.3](#new-features-as-of-rocm-183)
-- [New features as of ROCm 1.8](#new-features-as-of-rocm-18)
-- [New Features as of ROCm 1.7](#new-features-as-of-rocm-17)
-- [New Features as of ROCm 1.5](#new-features-as-of-rocm-15)
-
-
-## New features and enhancements in ROCm v3.2
-The AMD ROCm v3.2 release was not productized.
-
-## New features and enhancements in ROCm v3.1
-### Change in ROCm Installation Directory Structure
-
-A fresh installation of the ROCm toolkit installs the packages in the /opt/rocm-<version> folder. Previously, ROCm toolkit packages were installed in the /opt/rocm folder.
-
-### Reliability, Accessibility, and Serviceability Support for Vega 7nm
-
-The Reliability, Accessibility, and Serviceability (RAS) support for Vega7nm is now available.
-
-### SLURM Support for AMD GPU
-
-SLURM (Simple Linux Utility for Resource Management) is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters.
-
-
-## New features and enhancements in ROCm v3.0
-### Support for CentOS RHEL v7.7 <a id="centos-anchor"></a> 
-Support is extended for CentOS/RHEL v7.7 in the ROCm v3.0 release. For more information about the CentOS/RHEL v7.7 release, see:
-
-[CentOS/RHEL](https://centos.org/forums/viewtopic.php?t=71657)
-
-
-### Initial distribution of AOMP 0.7-5 in ROCm v3.0 <a id="aomp-anchor"></a> 
-The code base for this release of AOMP is the Clang/LLVM 9.0 sources as of October 8th, 2019. The LLVM-project branch used to build this release is AOMP-191008. It is now locked. With this release, an artifact tarball of the entire source tree is created. This tree includes a Makefile in the root directory used to build AOMP from the release tarball. You can use Spack to build AOMP from this source tarball or build manually without Spack.
-
-For more information about AOMP 0.7-5, see: [AOMP](https://github.com/ROCm-Developer-Tools/aomp/tree/roc-3.0.0)
-
-
-### Fast Fourier Transform Updates
-The Fast Fourier Transform (FFT) is an efficient algorithm for computing the Discrete Fourier Transform. Fast Fourier transforms are used in signal processing, image processing, and many other areas. The following real FFT performance change is made in the ROCm v3.0 release:
-
-•	Implement efficient real/complex 2D transforms for even lengths.
-
-Other improvements:
-
-•	More 2D test coverage sizes.
-
-•	Fix buffer allocation error for large 1D transforms.
-
-•	C++ compatibility improvements.
-
-### MemCopy Enhancement for rocProf
-In the v3.0 release, the rocProf tool is enhanced with an additional capability to dump asynchronous GPU memcopy information into a .csv file. You can use the '-hsa-trace' option to create the results_mcopy.csv file.
-Future enhancements will include column labels.
-
-
-### New features and enhancements in ROCm v2.10
-#### rocBLAS Support for Complex GEMM
-The rocBLAS library is a gpu-accelerated implementation of the standard Basic Linear Algebra Subroutines (BLAS). rocBLAS is designed to enable you to develop algorithms, including high performance computing, image analysis, and machine learning.
-
-In the AMD ROCm release v2.10, support is extended to the General Matrix Multiply (GEMM) routine for multiple small matrices processed simultaneously for rocBLAS in AMD Radeon Instinct MI50. Both single and double precision, CGEMM and ZGEMM, are now supported in rocBLAS.
-
-#### Support for SLES 15 SP1
-In the AMD ROCm v2.10 release, support is added for SUSE Linux® Enterprise Server (SLES) 15 SP1. SLES is a modular operating system for both multimodal and traditional IT.
-
-#### Code Marker Support for rocProfiler and rocTracer Libraries
-Code markers provide the external correlation ID for the calling thread. This function indicates that the calling thread is entering and leaving an external API region.
-
-### New features and enhancements in ROCm 2.9
-
-#### Initial release for Radeon Augmentation Library(RALI)
-The AMD Radeon Augmentation Library (RALI) is designed to efficiently decode and process images from a variety of storage formats and modify them through a processing graph programmable by the user. RALI currently provides C API.
-
-#### Quantization in MIGraphX v0.4
-MIGraphX 0.4 introduces support for fp16 and int8 quantization. For additional details, as well as other new MIGraphX features, see [MIGraphX documentation](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.4).
-
-#### rocSparse csrgemm
-csrgemm enables the user to perform matrix-matrix multiplication with two sparse matrices in CSR format.
-
-#### Singularity Support
-ROCm 2.9 adds support for Singularity container version 2.5.2.
-
-#### Initial release of rocTX
-ROCm 2.9 introduces rocTX, which provides a C API for code markup for performance profiling.  This initial release of rocTX supports annotation of code ranges and ASCII markers.  For an example, see this [code](https://github.com/ROCm-Developer-Tools/roctracer/blob/amd-master/test/MatrixTranspose_test/MatrixTranspose.cpp).
-
-#### Added support for Ubuntu 18.04.3
-Ubuntu 18.04.3 is now supported in ROCm 2.9.
-
-
-
-### New features and enhancements in ROCm 2.8
-
-#### Support for NCCL2.4.8 API
-Implements ncclCommAbort() and ncclCommGetAsyncError() to match the NCCL 2.4.x API
-
-### New features and enhancements in ROCm 2.7.2
-
-This release is a hotfix for ROCm release 2.7.
-
-#### Issues fixed in ROCm 2.7.2
-
-##### A defect in upgrades from older ROCm releases has been fixed.
-
-##### rocprofiler --hiptrace and --hsatrace fails to load roctracer library
-In ROCm 2.7.2, rocprofiler --hiptrace and --hsatrace fails to load roctracer library defect has been fixed.  
-To generate traces, please provide directory path also using the parameter: -d <$directoryPath> for example:
-```shell
-/opt/rocm/bin/rocprof  --hsa-trace -d $PWD/traces /opt/rocm/hip/samples/0_Intro/bit_extract/bit_extract
-  ```
-All traces and results will be saved under $PWD/traces path
-
-#### Upgrading from ROCm 2.7 to 2.7.2
-
-To upgrade, please remove 2.7 completely as specified [for ubuntu](#how-to-uninstall-from-ubuntu-1604-or-Ubuntu-1804) or [for centos/rhel](#how-to-uninstall-rocm-from-centosrhel-76), and install 2.7.2 as per instructions [install instructions](#installing-from-amd-rocm-repositories)
-
-#### Other notes
-
-  To use rocprofiler features, the following steps need to be completed before using rocprofiler:
-
-  ##### Step-1: Install roctracer
-
-###### Ubuntu 16.04 or Ubuntu 18.04:
-
-  ```shell
-  sudo apt install roctracer-dev
-  ```
-
-######  CentOS/RHEL 7.6:
-
-  ```shell
-  sudo yum install roctracer-dev
-  ```
-  ##### Step-2: Add /opt/rocm/roctracer/lib to LD_LIBRARY_PATH
-  
-### New features and enhancements in ROCm 2.7
-
-#### [rocFFT] Real FFT Functional
-Improved real/complex 1D even-length transforms of unit stride. Performance improvements of up to 4.5x are observed. Large problem sizes should see approximately 2x.
-
-#### rocRand Enhancements and Optimizations
-- Added support for new datatypes: uchar, ushort, half.
-- Improved performance on "Vega 7nm" chips, such as on the Radeon Instinct MI50
-- mtgp32 uniform double performance changes due generation algorithm standardization. Better quality random numbers now generated with 30% decrease in performance
-- Up to 5% performance improvements for other algorithms
-
-#### RAS
-Added support for RAS on Radeon Instinct MI50, including:
-- Memory error detection
-- Memory error detection counter
-
-#### ROCm-SMI enhancements
-Added ROCm-SMI CLI and LIB support for FW version, compute running processes, utilization rates, utilization counter, link error counter, and unique ID.
-
-### New features and enhancements in ROCm 2.6
-
-#### ROCmInfo enhancements
-ROCmInfo was extended to do the following:
-For ROCr API call errors including initialization determine if the error could be explained by:
-- ROCk (driver) is not loaded / available
-- User does not have membership in appropriate group - "video"
-- If not above print the error string that is mapped to the returned error code
-- If no error string is available, print the error code in hex
-
-#### Thrust - Functional Support on Vega20
-ROCm2.6 contains the first official release of rocThrust and hipCUB. rocThrust is a port of thrust, a parallel algorithm library. hipCUB is a port of CUB, a reusable software component library. Thrust/CUB has been ported to the HIP/ROCm platform to use the rocPRIM library. The HIP ported library works on HIP/ROCm platforms.
-
-Note: rocThrust and hipCUB library replaces https://github.com/ROCmSoftwarePlatform/thrust (hip-thrust), i.e. hip-thrust has been separated into two libraries, rocThrust and hipCUB. Existing hip-thrust users are encouraged to port their code to rocThrust and/or hipCUB. Hip-thrust will be removed from official distribution later this year.
-
-#### MIGraphX v0.3
-MIGraphX optimizer adds support to read models frozen from Tensorflow framework. Further details and an example usage at https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.3
-
-#### MIOpen 2.0
-- This release contains several new features including an immediate mode for selecting convolutions, bfloat16 support, new layers, modes, and algorithms.
-- MIOpenDriver, a tool for benchmarking and developing kernels is now shipped with MIOpen.
-BFloat16 now supported in HIP requires an updated rocBLAS as a GEMM backend.
-- Immediate mode API now provides the ability to quickly obtain a convolution kernel.
-- MIOpen now contains HIP source kernels and implements the ImplicitGEMM kernels. This is a new feature and is currently disabled by default. Use the environmental variable "MIOPEN_DEBUG_CONV_IMPLICIT_GEMM=1" to activation this feature. ImplicitGEMM requires an up to date HIP version of at least 1.5.9211.
-- A new "loss" catagory of layers has been added, of which, CTC loss is the first. See the API reference for more details.
-2.0 is the last release of active support for gfx803 architectures. In future releases, MIOpen will not actively debug and develop new features specifically for gfx803.
-- System Find-Db in memory cache is disabled by default. Please see build instructions to enable this feature.
-Additional documentation can be found here: https://rocmsoftwareplatform.github.io/MIOpen/doc/html/
-
-#### Bloat16 software support in rocBLAS/Tensile
-Added mixed precision bfloat16/IEEE f32 to gemm_ex. The input and output matrices are bfloat16. All arithmetic is in IEEE f32.
-
-#### AMD Infinity Fabric™ Link enablement
-The ability to connect four Radeon Instinct MI60 or Radeon Instinct MI50 boards in two hives or two Radeon Instinct MI60 or Radeon Instinct MI50 boards in four hives via AMD Infinity Fabric™ Link GPU interconnect technology has been added.
-
-#### ROCm-smi features and bug fixes
-  - mGPU & Vendor check
-  - Fix clock printout if DPM is disabled
-  - Fix finding marketing info on CentOS
-  - Clarify some error messages
-
-#### ROCm-smi-lib enhancements
-- Documentation updates
-- Improvements to *name_get functions
-
-#### RCCL2 Enablement
-RCCL2 supports collectives intranode communication using PCIe, Infinity Fabric™, and pinned host memory, as well as internode communication using Ethernet (TCP/IP sockets) and Infiniband/RoCE (Infiniband Verbs).  Note: For Infiniband/RoCE, RDMA is not currently supported.
-
-#### rocFFT enhancements
-- Added: Debian package with FFT test, benchmark, and sample programs
-- Improved: hipFFT interfaces
-- Improved: rocFFT CPU reference code, plan generation code and logging code
-
-### New features and enhancements in ROCm 2.5
-
-#### UCX 1.6 support
-Support for UCX version 1.6 has been added.
-
-#### BFloat16 GEMM in rocBLAS/Tensile
-Software support for BFloat16 on Radeon Instinct MI50, MI60 has been added.  This includes:
-- Mixed precision GEMM with BFloat16 input and output matrices, and all arithmetic in IEEE32 bit
-- Input matrix values are converted from BFloat16 to IEEE32 bit, all arithmetic and accumulation is IEEE32 bit. Output values are rounded from IEEE32 bit to BFloat16
-- Accuracy should be correct to 0.5 ULP
-
-#### ROCm-SMI enhancements
-CLI support for querying the memory size, driver version, and firmware version has been added to ROCm-smi.
-
-#### [PyTorch] multi-GPU functional support (CPU aggregation/Data Parallel)
-Multi-GPU support is enabled in PyTorch using Dataparallel path for versions of PyTorch built using the 06c8aa7a3bbd91cda2fd6255ec82aad21fa1c0d5 commit or later.
-
-#### rocSparse optimization on Radeon Instinct MI50 and MI60
-This release includes performance optimizations for csrsv routines in the rocSparse library.
-
-#### [Thrust] Preview
-Preview release for early adopters. rocThrust is a port of thrust, a parallel algorithm library. Thrust has been ported to the HIP/ROCm platform to use the rocPRIM library. The HIP ported library works on HIP/ROCm platforms.
-
-Note: This library will replace https://github.com/ROCmSoftwarePlatform/thrust in a future release. The package for rocThrust (this library) currently conflicts with version 2.5 package of thrust. They should not be installed together.
-
-#### Support overlapping kernel execution in same HIP stream
-HIP API has been enhanced to allow independent kernels to run in parallel on the same stream.
-
-#### AMD Infinity Fabric&#x2122; Link enablement
-The ability to connect four Radeon Instinct MI60 or Radeon Instinct MI50 boards in one hive via AMD Infinity Fabric™ Link GPU interconnect technology has been added.
-### New features and enhancements in ROCm 2.4
-
-#### TensorFlow 2.0 support
-ROCm 2.4 includes the enhanced compilation toolchain and a set of bug fixes to support TensorFlow 2.0 features natively
-
-#### AMD Infinity Fabric&#x2122; Link enablement
-ROCm 2.4 adds support to connect two Radeon Instinct MI60 or Radeon Instinct MI50 boards via AMD Infinity Fabric&#x2122; Link GPU interconnect technology.
-
-### New features and enhancements in ROCm 2.3
-
-#### Mem usage per GPU
-Per GPU memory usage is added to rocm-smi.
-Display information regarding used/total bytes for VRAM, visible VRAM and GTT, via the --showmeminfo flag
-
-#### MIVisionX, v1.1 - ONNX
-ONNX parser changes to adjust to new file formats
-
-#### MIGraphX, v0.2
-MIGraphX 0.2 supports the following new features:
-* New Python API
-* Support for additional ONNX operators and fixes that now enable a large set of Imagenet models
-* Support for RNN Operators
-* Support for multi-stream Execution
-* [Experimental] Support for Tensorflow frozen protobuf files
-
-See: [Getting-started:-using-the-new-features-of-MIGraphX-0.2](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.2) for more details
-
-#### MIOpen, v1.8 - 3d convolutions and int8
-* This release contains full 3-D convolution support and int8 support for inference.
-* Additionally, there are major updates in the performance database for major models including those found in Torchvision.
-
-See: [MIOpen releases](https://github.com/ROCmSoftwarePlatform/MIOpen/releases)
-
-#### Caffe2 -  mGPU support
-Multi-gpu support is enabled for Caffe2.
-
-#### rocTracer library, ROCm tracing API for collecting runtimes API and asynchronous GPU activity traces
-HIP/HCC domains support is introduced in rocTracer library.
-
-#### BLAS -  Int8 GEMM performance, Int8 functional and performance
-Introduces support and performance optimizations for Int8 GEMM, implements TRSV support, and includes improvements and optimizations with Tensile.
-
-#### Prioritized L1/L2/L3 BLAS (functional)
-Functional implementation of BLAS L1/L2/L3 functions
-
-#### BLAS - tensile optimization
-Improvements and optimizations with tensile
-
-#### MIOpen Int8 support
-Support for int8
-
-### New features and enhancements in ROCm 2.2
-
-#### rocSparse Optimization on Vega20
-Cache usage optimizations for csrsv (sparse triangular solve), coomv
-(SpMV in COO format) and ellmv (SpMV in ELL format) are available.
-
-#### DGEMM and DTRSM Optimization
-Improved DGEMM performance for reduced matrix sizes (k=384, k=256)
-
-#### Caffe2
-Added support for multi-GPU training
-
-### New features and enhancements in ROCm 2.1
-
-#### RocTracer v1.0 preview release – 'rocprof' HSA runtime tracing and statistics support -
-Supports HSA API tracing and HSA asynchronous GPU activity including kernels execution and memory copy
-
-#### Improvements to ROCM-SMI tool -
-Added support to show real-time PCIe bandwidth usage via the -b/--showbw flag
-
-#### DGEMM Optimizations -
-Improved DGEMM performance for large square and reduced matrix sizes (k=384, k=256)
-
-### New features and enhancements in ROCm 2.0
-
-#### Adds support for RHEL 7.6 / CentOS 7.6 and Ubuntu 18.04.1
-
-#### Adds support for Vega 7nm, Polaris 12 GPUs
-
-#### Introduces MIVisionX
-* A comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
-
-#### Improvements to ROCm Libraries
-* rocSPARSE & hipSPARSE
-* rocBLAS with improved DGEMM efficiency on Vega 7nm
-
-#### MIOpen
-* This release contains general bug fixes and an updated performance database
-* Group convolutions backwards weights performance has been improved
-* RNNs now support fp16
-
-#### Tensorflow multi-gpu and Tensorflow FP16 support for Vega 7nm
-* TensorFlow v1.12 is enabled with fp16 support
-
-#### PyTorch/Caffe2 with Vega 7nm Support
-* fp16 support is enabled
-* Several bug fixes and performance enhancements
-* Known Issue: breaking changes are introduced in ROCm 2.0 which are not addressed upstream yet. Meanwhile, please continue to use ROCm fork at https://github.com/ROCmSoftwarePlatform/pytorch
-
-#### Improvements to ROCProfiler tool
-* Support for Vega 7nm
-
-#### Support for hipStreamCreateWithPriority
-* Creates a stream with the specified priority. It creates a stream on which enqueued kernels have a different priority for execution compared to kernels enqueued on normal priority streams. The priority could be higher or lower than normal priority streams.
-
-#### OpenCL 2.0 support
-* ROCm 2.0 introduces full support for kernels written in the OpenCL 2.0 C language on certain devices and systems.  Applications can detect this support by calling the “clGetDeviceInfo” query function with “parame_name” argument set to “CL_DEVICE_OPENCL_C_VERSION”.  In order to make use of OpenCL 2.0 C language features, the application must include the option “-cl-std=CL2.0” in options passed to the runtime API calls responsible for compiling or building device programs.  The complete specification for the OpenCL 2.0 C language can be obtained using the following link: https://www.khronos.org/registry/OpenCL/specs/opencl-2.0-openclc.pdf
-
-#### Improved Virtual Addressing (48 bit VA) management for Vega 10 and later GPUs
-* Fixes Clang AddressSanitizer and potentially other 3rd-party memory debugging tools with ROCm
-* Small performance improvement on workloads that do a lot of memory management
-* Removes virtual address space limitations on systems with more VRAM than system memory
-
-#### Kubernetes support
-
-### New features and enhancements in ROCm 1.9.2
-#### RDMA(MPI) support on Vega 7nm
-* Support ROCnRDMA based on Mellanox InfiniBand
-
-#### Improvements to HCC
-* Improved link time optimization
-
-#### Improvements to ROCProfiler tool
-* General bug fixes and implemented versioning APIs
-
-### New features and enhancements in ROCm 1.9.2
-#### RDMA(MPI) support on Vega 7nm
-* Support ROCnRDMA based on Mellanox InfiniBand
-
-#### Improvements to HCC
-* Improved link time optimization
-
-#### Improvements to ROCProfiler tool
-* General bug fixes and implemented versioning APIs
-
-#### Critical bug fixes
-
-### New features and enhancements in ROCm 1.9.1
-#### Added DPM support to Vega 7nm
-* Dynamic Power Management feature is enabled on Vega 7nm.
-
-#### Fix for 'ROCm profiling' that used to fail with a “Version mismatch between HSA runtime and libhsa-runtime-tools64.so.1” error
-
-### New features and enhancements in ROCm 1.9.0
-
-#### Preview for Vega 7nm
-* Enables developer preview support for Vega 7nm
-
-#### System Management Interface
-* Adds support for the ROCm SMI (System Management Interface) library, which provides monitoring and management capabilities for AMD GPUs.
-
-#### Improvements to HIP/HCC
-* Support for gfx906
-* Added deprecation warning for C++AMP.  This will be the last version of HCC supporting C++AMP.
-* Improved optimization for global address space pointers passing into a GPU kernel
-* Fixed several race conditions in the HCC runtime
-* Performance tuning to the unpinned copy engine
-* Several codegen enhancement fixes in the compiler backend
-
-#### Preview for rocprof Profiling Tool
-Developer preview (alpha) of profiling tool rocProfiler. It includes a command-line front-end, `rpl_run.sh`, which enables:
-* Cmd-line tool for dumping public per kernel perf-counters/metrics and kernel timestamps
-* Input file with counters list and kernels selecting parameters
-* Multiple counters groups and app runs supported
-* Output results in CSV format
-
-The tool can be installed from the `rocprofiler-dev` package. It will be installed into: `/opt/rocm/bin/rpl_run.sh`
-
-#### Preview for rocr Debug Agent rocr_debug_agent
-The ROCr Debug Agent is a library that can be loaded by ROCm Platform Runtime to provide the following functionality:
-* Print the state for wavefronts that report memory violation or upon executing a "s_trap 2" instruction.
-* Allows SIGINT (`ctrl c`) or SIGTERM (`kill -15`) to print wavefront state of aborted GPU dispatches.
-* It is enabled on Vega10 GPUs on ROCm1.9.
-
-The ROCm1.9 release will install the ROCr Debug Agent library at `/opt/rocm/lib/librocr_debug_agent64.so`
-
-
-#### New distribution support
-
-* Binary package support for Ubuntu 18.04
-
-#### ROCm 1.9 is ABI compatible with KFD in upstream Linux kernels.
-Upstream Linux kernels support the following GPUs in these releases:
-4.17: Fiji, Polaris 10, Polaris 11
-4.18: Fiji, Polaris 10, Polaris 11, Vega10
-
-Some ROCm features are not available in the upstream KFD:
-* More system memory available to ROCm applications
-* Interoperability between graphics and compute
-* RDMA
-* IPC
-
-To try ROCm with an upstream kernel, install ROCm as normal, but do not install the rock-dkms package. Also add a udev rule to control `/dev/kfd` permissions:
-
-```
-    echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
-```
-
-### New features as of ROCm 1.8.3
-
-* ROCm 1.8.3 is a minor update meant to fix compatibility issues on Ubuntu releases running kernel 4.15.0-33
-
-### New features as of ROCm 1.8
-
-#### DKMS driver installation
-
- * Debian packages are provided for DKMS on Ubuntu
- * RPM packages are provided for CentOS/RHEL 7.4 and 7.5 support
- * See the [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-1.8.x) and [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-1.8.x) for additional documentation on driver setup
-
-#### New distribution support
-
- * Binary package support for Ubuntu 16.04 and 18.04
- * Binary package support for CentOS 7.4 and 7.5
- * Binary package support for RHEL 7.4 and 7.5
-
-#### Improved OpenMPI via UCX support
-
- * UCX support for OpenMPI
- * ROCm RDMA
-
-### New Features as of ROCm 1.7
-
-#### DKMS driver installation
-
- * New driver installation uses Dynamic Kernel Module Support (DKMS)
- * Only amdkfd and amdgpu kernel modules are installed to support AMD hardware
- * Currently only Debian packages are provided for DKMS (no Fedora suport available)
- * See the [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-1.7.x) and [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-1.7.x) for additional documentation on driver setup
-
-### New Features as of ROCm 1.5
-
-#### Developer preview of the new OpenCL 1.2 compatible language runtime and compiler
-
- * OpenCL 2.0 compatible kernel language support with OpenCL 1.2 compatible
-   runtime
- * Supports offline ahead of time compilation today;
-   during the Beta phase we will add in-process/in-memory compilation.
-
-#### Binary Package support for Ubuntu 16.04
-
-#### Binary Package support for Fedora 24 is not currently available
-
-#### Dropping binary package support for Ubuntu 14.04, Fedora 23
-
-#### IPC support