Remove MiGraphX from 3.8

hipfort addition to 3.8
Remove version_history.md file. Since we are currently maintaining it on external documentation.
2026-01-09 22:58:17 -05:00 · 2020-09-25 10:05:32 -07:00 · 2020-09-22 11:38:23 -07:00 · 2020-09-21 16:04:25 -07:00 · 2020-09-21 15:58:09 -07:00 · 2020-09-21 15:47:24 -07:00
13 changed files with 139 additions and 790 deletions
--- a/AMD_ROCm_DataCenter_Tool_User_Guide.pdf
+++ b/AMD_ROCm_DataCenter_Tool_User_Guide.pdf
--- a/AMD_ROCm_Release_Notes_v3.8.pdf
+++ b/AMD_ROCm_Release_Notes_v3.8.pdf
--- a/HIPClang2.png
+++ b/HIPClang2.png
--- a/RDCComponentsrevised.png
+++ b/RDCComponentsrevised.png
--- a/README.md
+++ b/README.md
@@ -1,34 +1,23 @@
-# AMD ROCm Release Notes v3.5.0
+
+# AMD ROCm Release Notes v3.8.0
+
 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.
+It also covers known issues in this 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 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)
+  * [Hipfort-Interface for GPU Kernel Libraries](#Hipfort-Interface-for-GPU-Kernel-Libraries)
+  * [ROCm Data Center Tool](#ROCm-Data-Center-Tool)
+  * [Error-Correcting Code Fields in ROCm Data Center Tool](#Error-Correcting-Code-Fields-in-ROCm-Data-Center-Tool)
+  * [Static Linking Libraries](#Static-Linking-Libraries)
+    
+- [Fixed Defects](#Fixed-Defects)

 - [Known Issues](#Known-Issues)

- [Deprecations](#Deprecations)
-  * [Heterogeneous Compute Compiler](#Heterogeneous-Compute-Compiler)
-
 - [Deploying ROCm](#Deploying-ROCm)
 
 - [Hardware and Software Support](#Hardware-and-Software-Support)
@@ -36,324 +25,187 @@ It also covers known issues and deprecated features in the ROCm v3.5.0 release.
 - [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 
+# Supported Operating Systems 

-The AMD ROCm v3.5.x platform is designed to support the following operating systems:
+## Support for Vega 7nm Workstation

-* 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)
+This release extends support to the Vega 7nm Workstation (Vega20 GL-XE) version.
+
+## List of Supported Operating Systems
+
+The AMD ROCm platform is designed to support the following operating systems:
+
+* Ubuntu 20.04 (5.4 and 5.6-oem) and 18.04.5 (Kernel 5.4)	
+* CentOS 7.8 & RHEL 7.8 (Kernel 3.10.0-1127) (Using devtoolset-7 runtime support)
+* CentOS 8.2 & RHEL 8.2 (Kernel 4.18.0 ) (devtoolset is not required)
 * SLES 15 SP1
-* CentOS and RHEL 8.1(Kernel 4.18.0-147)
+
+## Fresh Installation of AMD ROCm v3.8 Recommended
+A fresh and clean installation of AMD ROCm v3.8 is recommended. An upgrade from previous releases to AMD ROCm v3.8 is not supported.
+
+For more information, refer to the AMD ROCm Installation Guide at:
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+**Note**: AMD ROCm release v3.3 or prior releases are not fully compatible with AMD ROCm v3.5 and higher versions. You must perform a fresh ROCm installation if you want to upgrade from AMD ROCm v3.3 or older to 3.5 or higher versions and vice-versa.
+
+**Note**: *render group* is required only for Ubuntu v20.04. For all other ROCm supported operating systems, continue to use *video group*.
+
+* For ROCm v3.5 and releases thereafter,the *clinfo* path is changed to -  */opt/rocm/opencl/bin/clinfo*.
+
+* For ROCm v3.3 and older releases, the *clinfo* path remains unchanged -  */opt/rocm/opencl/bin/x86_64/clinfo*.


-## Documentation Updates
+# AMD ROCm Documentation Updates

-### HIP-Clang Compile
+## AMD ROCm Installation Guide 

-* [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)
+The AMD ROCm Installation Guide in this release includes:

-### AMD ROCDebugger (ROCgdb)
+* Updated Supported Environments
+* HIP Installation Instructions
+* Tensorflow ROCm Port: Basic Installations on RHEL v8.2

-* [ROCgdb User Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/gdb.pdf)
-* [ROCgdbapi Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/amd-dbgapi.pdf)
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html

-### AMD ROCm Systems Management Interface
+## AMD ROCm - HIP Documentation Updates

-* [System Management Interface Event API Guide](https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual.pdf)
+* HIP Repository Information

-### AMD ROCm Deep Learning
+For more information, see 

-* [MIOpen API](https://github.com/ROCmSoftwarePlatform/MIOpen)
+https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#hip-repository-information

-### AMD ROCm Glossary of Terms
+## ROCm Data Center Tool User Guide

-* [Updated Glossary of Terms and Definitions](https://rocmdocs.amd.com/en/latest/ROCm_Glossary/ROCm-Glossary.html)
+* Error-Correction Codes Field and Output Documentation

-### General AMD ROCm Documentatin Links
+For more information, refer to the AMD ROCm Data Center User Guide at

-Access the following links for more information on:
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_ROCm_DataCenter_Tool_User_Guide.pdf
+
+## General AMD ROCm Documentation Links
+
+Access the following links for more information:

 * For AMD ROCm documentation, see 

  https://rocmdocs.amd.com/en/latest/

-* For installation instructions on supported platforms, see
+* For installation instructions on supped 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
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#build-amd-rocm

 * For AMD ROCm Release History, see

  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#amd-rocm-version-history


+
 # What\'s New in This Release

-## Upgrading to This Release
+## Hipfort-Interface for GPU Kernel Libraries

-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: 
+Hipfort is an interface library for accessing GPU Kernels. It provides support to the AMD ROCm architecture from within the Fortran programming language. Currently, the gfortran and HIP-Clang compilers support hipfort. Note, the gfortran compiler belongs to the GNU Compiler Collection (GCC). While hipfc wrapper calls hipcc for the non-fortran kernel source, gfortran is used for FORTRAN applications that call GPU kernels.

-* 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 hipfort interface library is meant for Fortran developers with a focus on gfortran users. 

-## 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.
+For information on HIPFort installation and examples, see
+https://github.com/ROCmSoftwarePlatform/hipfort
+  
+
+## ROCm Data Center Tool 
+
+The ROCm™ Data Center Tool™ simplifies the administration and addresses key infrastructure challenges in AMD GPUs in cluster and datacenter environments. The important features of this tool are:
+
+* GPU telemetry  
+
+* GPU statistics for jobs 
+
+* Integration with third-party tools 
+
+* Open source 
+
+The ROCm Data Center Tool can be used in the standalone mode if all components are installed. The same set of features is also available in a library format that can be used by existing management tools. 
+
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/RDCComponentsrevised.png)


+Refer to the ROCm Data Center Tool™ User Guide for more details on the different modes of operation.  

-## Heterogeneous-Compute Interface for Portability
+NOTE: The ROCm Data Center User Guide is intended to provide an overview of ROCm Data Center Tool features and how system administrators and Data Center (or HPC) users can administer and configure AMD GPUs. The guide also provides an overview of its components and open source developer handbook. 

-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 installation information on different distributions, refer to the ROCm Data Center User Guide at

-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
- 
-For more information about GNU Debugger (GDB), refer to the GNU Debugger (GDB) web site at: http://www.gnu.org/software/gdb
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_ROCm_DataCenter_Tool_User_Guide.pdf


-## AMD ROCm Debugger API Library 
+### Error Correcting Code Fields in ROCm Data Center Tool

-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.
+The ROCm Data Center (RDC) tool is enhanced to provide counters to track correctable and uncorrectable errors. While a single bit per word error can be corrected, double bit per word errors cannot be corrected. 

-The following AMD GPU architectures are supported:
-* Vega 10 
-* Vega 7nm
+The RDC tool now helps monitor and protect undetected memory data corruption. If the system is using ECC- enabled memory, the ROCm Data Center tool can report the error counters to monitor the status of the memory. 

-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:
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/forweb.PNG)

-https://github.com/RadeonOpenCompute/ROCm/blob/master/amd-dbgapi.pdf
+## Static Linking Libraries 

-## rocProfiler Dispatch Callbacks Start Stop API
+The underlying libraries of AMD ROCm are dynamic and are called shared objects (.so) in Linux.
+The AMD ROCm v3.8 release includes the capability to build static ROCm libraries and link to the applications statically. CMake target files enable linking an application statically to ROCm libraries and each component exports the required dependencies for linking. The static libraries are called Archives (.a) in Linux.

-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.
+This release also comprises of the requisite changes required for all the components to work in a static environment. The components have been successfully tested for basic functionalities like *rocminfo /rocm_bandwidth_test* and archives.

-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. 
+In the AMD ROCm v3.8 release, the following libraries support static linking: 

-For more information on kernel dispatches, see the HSA Platform System Architecture Specification guide at http://www.hsafoundation.com/standards/.
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/staticlinkinglib.PNG)

-## 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
+# Fixed Defects
+The following defects are fixed in this release:

-### 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. 
-
-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.
-
-To install the kernel package for your GPU architecture, use the following command:
-
-*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 
- 
-
-## New SMI Event Interface and Library
-
-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. 
-
-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
-
-## 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. 
+* GPU Kernel C++ Names Not Demangled
+* MIGraphX Fails for fp16 Datatype
+* Issue with Peer-to-Peer Transfers
+* ‘rocprof’ option ‘--parallel-kernels’ Not Supported in this Release

 # Known Issues 
-The following are the known issues in the v3.5 release.

-## HIPify-Clang Installation Failure on CentOS/RHEL 
+## Undefined Reference Issue in Statically Linked Libraries

-HIPify-Clang fails to install on CentOS/RHEL with the following error:
+Libraries and applications statically linked using flags -rtlib=compiler-rt, such as rocBLAS, have an implicit dependency on gcc_s not captured in their CMAKE configuration.  

-*file from install of hipify-clang conflicts with file from package hip-base*
+Client applications may require linking with an additional library -lgcc_s to resolve the undefined reference to symbol '_Unwind_Resume@@GCC_3.0'.

-**Workaround**: This is a known issue and the following workaround is recommended for a successful installation of HIPify-Clang on CentOS/RHEL:
+## MIGraphX Pooling Operation Fails for Some Models

-* Download HIPify-Clang RPM. For example, *hipify-clang-11.0.0.x86_64.rpm*
-* Perform a force install using the following command: 
+MIGraphX does not work for some models with pooling operations and the following error appears:

-  *sudo rpm -ivh --force hipify-clang-11.0.0.x86_64.rpm*
+*‘test_gpu_ops_test FAILED’*
+
+This issue is currently under investigation and there is no known workaround currently. 
+
+## MIVisionX Installation Error on CentOS/RHEL8.2 and SLES 15
+
+Installing ROCm on MIVisionX results in the following error on CentOS/RHEL8.2 and SLES 15:
+
+*"Problem: nothing provides opencv needed"*
+
+As a workaround, install opencv before installing MIVisionX.


-## 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. 
+# Deploying ROCm
+AMD hosts both Debian and RPM repositories for the ROCm v3.8.x 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
+# 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.

@@ -383,7 +235,7 @@ 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).
@@ -426,15 +278,16 @@ 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_.
 * 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.
@@ -477,4 +330,4 @@ For users that have the option of using either AMD's or the upstreamed driver, t

 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
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#software-stack-for-amd-gpu
--- a/ROCm_SMI_Manual.pdf
+++ b/ROCm_SMI_Manual.pdf
--- a/RPP.png
+++ b/RPP.png
--- a/amd-dbgapi.pdf
+++ b/amd-dbgapi.pdf
--- a/default.xml
+++ b/default.xml
@@ -10,9 +10,9 @@
            fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
    <remote name="gpuopen-tools"
            fetch="https://github.com/GPUOpen-Tools/" />
-    <remote name="KhronosGroup" 
+    <remote name="KhronosGroup"
            fetch="https://github.com/KhronosGroup/" />
-    <default revision="refs/tags/rocm-3.5.0"
+    <default revision="refs/tags/rocm-3.8.0"
             remote="roc-github"
             sync-c="true"
             sync-j="4" />
@@ -26,21 +26,20 @@
    <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" />
    <project name="HIP" 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" /> 
+    <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" path="llvm_amd-stg-open" /> 
+    <project name="llvm-project" path="llvm_amd-stg-open" />
    <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="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
    <!-- gdb projects -->
@@ -52,17 +51,17 @@
    <project name="rocFFT" remote="rocm-swplat" />
    <project name="rocRAND" remote="rocm-swplat" />
    <project name="rocSPARSE" remote="rocm-swplat" />
+    <project name="rocSOLVER" 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="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="AMDMIGraphX" remote="rocm-swplat" />
+    <project name="hipfort" 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" />
@@ -70,11 +69,11 @@
    <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="HIP" path="aomp/hip-on-vdi" remote="rocm-devtools" />
    <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" />
+    <project name="ROCclr" path="aomp/vdi" remote="rocm-devtools" />
+    <project name="ROCm-OpenCL-Runtime" path="aomp/opencl-on-vdi" remote="roc-github" />
 </manifest>
--- a/forweb.PNG
+++ b/forweb.PNG
--- a/gdb.pdf
+++ b/gdb.pdf
--- a/staticlinkinglib.PNG
+++ b/staticlinkinglib.PNG
--- a/version_history.md
+++ b/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
Author	SHA1	Message	Date
Lad, Aditya	86a09b146b	Remove MiGraphX from 3.8	2020-09-25 10:05:32 -07:00
Lad, Aditya	d1f9aa98a3	hipfort addition to 3.8	2020-09-22 11:38:23 -07:00
Lad, Aditya	42fa0e0765	Remove version_history.md file. Since we are currently maintaining it on external documentation.	2020-09-21 16:04:25 -07:00
Lad, Aditya	e89903ed3a	ROCm release 3.8	2020-09-21 15:58:09 -07:00
Roopa Malavally	ba2e1f0109	ROCm v3.8 Release Notes (#1226 ) * Update README.md * Add files via upload * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add files via upload * Delete staticlinkinglib.PNG * Add files via upload * Delete staticlinkinglib.PNG * Add files via upload * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Delete AMD_ROCm_Release_Notes_v3.7.pdf * Update README.md * Update README.md * Update README.md * Add files via upload * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add files via upload * Add files via upload * Add files via upload * Add files via upload * Update README.md	2020-09-21 15:47:24 -07:00
Roopa Malavally	a1830b5330	Add files via upload	2020-09-17 12:23:13 -07:00
Roopa Malavally	0c596d155a	Update README.md	2020-09-07 10:46:57 -07:00
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Roopa Malavally	49bd50c858	Update README.md	2020-09-02 06:13:23 -07:00
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Roopa Malavally	0fddb14b8f	Delete AMD_ROCm_Release_Notes_v3.7.pdf	2020-08-23 09:44:30 -07:00
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Roopa Malavally	e0361edcf8	Add files via upload	2020-08-20 17:41:22 -07:00
Lad, Aditya	67f7748999	ROCm 3.7 : Default.xml	2020-08-20 20:27:43 -04:00
Roopa Malavally	3b9619ac45	For v3.7 (#1191 ) * Delete HIPClang2.png * Delete ROCm_SMI_Manual.pdf * Delete RPP.png * Delete amd-dbgapi.pdf * Delete gdb.pdf * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Delete AMD_ROCm_Release_Notes_v3.5.1.pdf * Add files via upload * Delete AMD_ROCm_Release_Notes_v3.7.pdf * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md	2020-08-20 16:58:26 -07:00
Roopa Malavally	3b421076e0	Update README.md	2020-08-06 14:35:43 -07:00
Roopa Malavally	3dfc8c3954	Add files via upload	2020-07-09 10:37:58 -07:00
Roopa Malavally	1d4cac07ae	Delete ROCm_SMI_API_Guide.pdf	2020-07-09 10:36:16 -07:00
Roopa Malavally	de1efc447a	Delete ROCgdb_User_Guide.pdf	2020-07-09 10:36:05 -07:00
Roopa Malavally	f0bcd280f1	Delete ROCgdb_API_Guide.pdf	2020-07-09 10:35:42 -07:00
Roopa Malavally	cf36f54099	Delete RDC_API_Guide_Alpha.pdf	2020-07-09 10:34:55 -07:00
Roopa Malavally	d304044378	Delete AMD_ROCm_Data_Center_Tool_User_Guide.pdf	2020-07-09 10:34:39 -07:00
Roopa Malavally	4464dc282e	Delete gdb.pdf	2020-07-08 21:39:22 -07:00
Roopa Malavally	9f7604f51b	Delete amd-dbgapi.pdf	2020-07-08 21:39:07 -07:00
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Roopa Malavally	09643c4a90	Update README.md	2020-06-19 16:48:56 -07:00
Lad, Aditya	8c835d14fc	Manifest files : ROCm 3.5.1	2020-06-19 19:44:07 -04:00
Roopa Malavally	25dea0df9f	Update README.md	2020-06-19 16:39:17 -07:00
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Roopa Malavally	cc37d13828	Update README.md	2020-06-03 12:43:24 -07:00