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ROCm 3.7 : Default.xml
For v3.7 (#1191 )
2026-01-09 22:58:17 -05:00 · 2020-08-20 17:41:22 -07:00 · 2020-08-20 20:27:43 -04:00 · 2020-08-20 16:58:26 -07:00 · 2020-08-06 14:35:43 -07:00 · 2020-07-09 10:37:58 -07:00
4 changed files with 709 additions and 628 deletions
--- a/AMD_ROCm_Release_Notes_v3.7.pdf
+++ b/AMD_ROCm_Release_Notes_v3.7.pdf
--- a/README.md
+++ b/README.md
@@ -1,30 +1,327 @@
-## Are You Ready to ROCK?
-The ROCm Platform brings a rich foundation to advanced computing by seamlessly integrating the CPU and GPU with the goal of solving real-world problems.
-This software enables the high-performance operation of AMD GPUs for computationally oriented tasks in the Linux operating system.

-### Current ROCm Version: 2.1
+# AMD ROCm Release Notes v3.7.0

- [Hardware Support](#hardware-support)
-  * [Supported GPUs](#supported-gpus)
-  * [Supported CPUs](#supported-cpus)
-  * [Not supported or limited support under ROCm](#not-supported-or-limited-support-under-rocm)
- [New features and enhancements in ROCm 2.1](#new-features-and-enhancements-in-rocm-21)
- [The latest ROCm platform - ROCm 2.1](#the-latest-rocm-platform---rocm-210)
-  * [Supported Operating Systems](#supported-operating-systems---new-operating-systems-available)
-  * [ROCm support in upstream Linux kernels](#rocm-support-in-upstream-linux-kernels)
- [Installing from AMD ROCm repositories](#installing-from-amd-rocm-repositories)
-  * [ROCm Binary Package Structure](#rocm-binary-package-structure)
-  * [Ubuntu Support - installing from a Debian repository](#ubuntu-support---installing-from-a-debian-repository)
-  * [CentOS/RHEL 7 (7.4, 7.5, 7.6) Support](#centosrhel-7-74-75-76-support)
- [Known issues / workarounds](#known-issues--workarounds)
- [Closed source components](#closed-source-components)
- [Getting ROCm source code](#getting-rocm-source-code)
-  * [Installing repo](#installing-repo)
-  * [Downloading the ROCm source code](#downloading-the-rocm-source-code)
-  * [Building the ROCm source code](#building-the-rocm-source-code)
- [Final notes](#final-notes)
+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 this release.

-### Hardware Support
+- [Supported Operating Systems and Documentation Updates](#Supported-Operating-Systems-and-Documentation-Updates)
+  * [Supported Operating Systems](#Supported-Operating-Systems)
+  * [AMD ROCm Documentation Updates](#AMD-ROCm-Documentation-Updates)
+   
+- [What\'s New in This Release](#Whats-New-in-This-Release)
+  * [AOMP Enhancements](#AOMP-Enhancements)
+  * [Compatibility with NVIDIA Communications Collective Library v2\.7 API](#Compatibility-with-NVIDIA-Communications-Collective-Library-v27-API)
+  * [Singular Value Decomposition of Bi\-diagonal Matrices](#Singular-Value-Decomposition-of-Bi-diagonal-Matrices)
+  * [rocSPARSE_gemmi\() Operations for Sparse Matrices](#rocSPARSE_gemmi-Operations-for-Sparse-Matrices)
+    
+ 
+- [Known Issues](#Known-Issues)
+
+- [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 
+
+## Support for Ubuntu 20.04 
+
+
+In this release, AMD ROCm extends support to Ubuntu 20.04, including dual-kernel.
+
+## List of Supported Operating Systems
+
+The AMD ROCm v3.7.x platform is designed to support the following operating systems:
+
+* Ubuntu 20.04 and 18.04.4 (Kernel 5.3)	
+* 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
+
+## Fresh Installation of AMD ROCm v3.7 Recommended
+A fresh and clean installation of AMD ROCm v3.7 is recommended. An upgrade from previous releases to AMD ROCm v3.7 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.
+
+
+# AMD ROCm Documentation Updates
+
+## AMD ROCm Installation Guide 
+
+The AMD ROCm Installation Guide in this release includes:
+
+* Updated Supported Environments
+* HIP Installation Instructions
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+
+## AMD ROCm - HIP Documentation Updates
+
+### Texture and Surface Functions
+The documentation for Texture and Surface functions is updated and available at:
+
+https://rocmdocs.amd.com/en/latest/Programming_Guides/Kernel_language.html
+
+### Warp Shuffle Functions
+The documentation for Warp Shuffle functions is updated and available at:
+
+https://rocmdocs.amd.com/en/latest/Programming_Guides/Kernel_language.html
+
+### Compiler Defines and Environment Variables
+The documentation for the updated HIP Porting Guide is available at:
+
+https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-porting-guide.html#hip-porting-guide
+
+
+## AMD ROCm Debug Agent
+
+ROCm Debug Agent Library 
+
+https://rocmdocs.amd.com/en/latest/ROCm_Tools/rocm-debug-agent.html
+
+
+## General AMD ROCm Documentatin Links
+
+Access the following links for more information:
+
+* For AMD ROCm documentation, see 
+
+  https://rocmdocs.amd.com/en/latest/
+
+* 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#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
+
+## AOMP ENHANCEMENTS
+
+AOMP is a scripted build of LLVM. It supports OpenMP target offload on AMD GPUs. Since AOMP is a Clang/LLVM compiler, it also supports GPU offloading with HIP, CUDA, and OpenCL.
+
+The following enhancements are made for AOMP in this release: 
+* OpenMP 5.0 is enabled by default. You can use -fopenmp-version=45 for OpenMP 4.5 compliance
+* Restructured to include the ROCm compiler
+* B=Bitcode search path using hip policy HIP_DEVICE_LIB_PATH and hip-devic-lib command line option to enable global_free for kmpc_impl_free
+
+Restructured hostrpc, including:
+* Replaced hostcall register functions with handlePayload(service, payload). Note, handlPayload has a simple switch to call the correct service handler function.
+* Removed the WITH_HSA macro
+* Moved the hostrpc stubs and host fallback functions into a single library and the include file. This enables the stubs openmp cpp source instead of hip and reorganizes the directory openmp/libomptarget/hostrpc.
+* Moved hostrpc_invoke.cl to DeviceRTLs/amdgcn.
+* Generalized the vargs processing in printf to work for any vargs function to execute on the host, including a vargs function that uses a function pointer.
+* Reorganized files, added global_allocate and global_free.
+* Fixed llvm TypeID enum to match the current upstream llvm TypeID.
+* Moved strlen_max function inside the declare target #ifdef _DEVICE_GPU in hostrpc.cpp to resolve linker failure seen in pfspecifier_str smoke test.
+* Fixed AOMP_GIT_CHECK_BRANCH in aomp_common_vars to not block builds in Red Hat if the repository is on a specific commit hash.
+* Simplified and reduced the size of openmp host runtime
+* Switched to default OpenMP 5.0
+
+For more information, see https://github.com/ROCm-Developer-Tools/aomp
+     
+
+## ROCm COMMUNICATIONS COLLECTIVE LIBRARY
+
+### Compatibility with NVIDIA Communications Collective Library v2\.7 API
+
+ROCm Communications Collective Library (RCCL) is now compatible with the NVIDIA Communications Collective Library (NCCL) v2.7 API.
+
+RCCL (pronounced "Rickle") is a stand-alone library of standard collective communication routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast, reduce-scatter, gather, scatter, and all-to-all. There is also initial support for direct GPU-to-GPU send and receive operations. It has been optimized to achieve high bandwidth on platforms using PCIe, xGMI as well as networking using InfiniBand Verbs or TCP/IP sockets. RCCL supports an arbitrary number of GPUs installed in a single node or multiple nodes, and can be used in either single- or multi-process (e.g., MPI) applications.
+
+The collective operations are implemented using ring and tree algorithms and have been optimized for throughput and latency. For best performance, small operations can be either batched into larger operations or aggregated through the API.
+
+For more information about RCCL APIs and compatibility with NCCL v2.7, see
+https://rccl.readthedocs.io/en/develop/index.html
+
+
+## Singular Value Decomposition of Bi\-diagonal Matrices
+
+Rocsolver_bdsqr now computes the Singular Value Decomposition (SVD) of bi-diagonal matrices. It is an auxiliary function for the SVD of general matrices (function rocsolver_gesvd). 
+
+BDSQR computes the singular value decomposition (SVD) of a n-by-n bidiagonal matrix B.
+
+The SVD of B has the following form:
+
+B = Ub * S * Vb'
+where 
+•	S is the n-by-n diagonal matrix of singular values of B
+•	the columns of Ub are the left singular vectors of B
+•	the columns of Vb are its right singular vectors
+
+The computation of the singular vectors is optional; this function accepts input matrices U (of size nu-by-n) and V (of size n-by-nv) that are overwritten with U*Ub and Vb’*V. If nu = 0 no left vectors are computed; if nv = 0 no right vectors are computed.
+
+Optionally, this function can also compute Ub’*C for a given n-by-nc input matrix C.
+
+PARAMETERS
+
+•	[in] handle: rocblas_handle.
+
+•	[in] uplo: rocblas_fill.
+
+Specifies whether B is upper or lower bidiagonal.
+
+•	[in] n: rocblas_int. n >= 0.
+
+The number of rows and columns of matrix B.
+
+•	[in] nv: rocblas_int. nv >= 0. 
+
+The number of columns of matrix V.
+
+•	[in] nu: rocblas_int. nu >= 0. 
+
+The number of rows of matrix U.
+
+•	[in] nc: rocblas_int. nu >= 0. 
+
+The number of columns of matrix C.
+
+•	[inout] D: pointer to real type. Array on the GPU of dimension n.
+
+On entry, the diagonal elements of B. On exit, if info = 0, the singular values of B in decreasing order; if info > 0, the diagonal elements of a bidiagonal matrix orthogonally equivalent to B.
+
+•	[inout] E: pointer to real type. Array on the GPU of dimension n-1.
+
+On entry, the off-diagonal elements of B. On exit, if info > 0, the off-diagonal elements of a bidiagonal matrix orthogonally equivalent to B (if info = 0 this matrix converges to zero).
+
+•	[inout] V: pointer to type. Array on the GPU of dimension ldv*nv.
+
+On entry, the matrix V. On exit, it is overwritten with Vb’*V. (Not referenced if nv = 0).
+
+•	[in] ldv: rocblas_int. ldv >= n if nv > 0, or ldv >=1 if nv = 0.
+
+Specifies the leading dimension of V.
+
+•	[inout] U: pointer to type. Array on the GPU of dimension ldu*n.
+
+On entry, the matrix U. On exit, it is overwritten with U*Ub. (Not referenced if nu = 0).
+
+•	[in] ldu: rocblas_int. ldu >= nu.
+
+Specifies the leading dimension of U.
+
+•	[inout] C: pointer to type. Array on the GPU of dimension ldc*nc.
+
+On entry, the matrix C. On exit, it is overwritten with Ub’*C. (Not referenced if nc = 0).
+
+•	[in] ldc: rocblas_int. ldc >= n if nc > 0, or ldc >=1 if nc = 0.
+
+Specifies the leading dimension of C.
+
+•	[out] info: pointer to a rocblas_int on the GPU.
+
+If info = 0, successful exit. If info = i > 0, i elements of E have not converged to zero.
+
+For more information, see
+https://rocsolver.readthedocs.io/en/latest/userguide_api.html#rocsolver-type-bdsqr
+
+
+### rocSPARSE_gemmi\() Operations for Sparse Matrices
+
+This enhancement provides a dense matrix sparse matrix multiplication using the CSR storage format.
+rocsparse_gemmi multiplies the scalar αα with a dense m×km×k matrix AA and the sparse k×nk×n matrix BB defined in the CSR storage format, and adds the result to the dense m×nm×n matrix CC that is multiplied by the scalar ββ, such that
+C:=α⋅op(A)⋅op(B)+β⋅CC:=α⋅op(A)⋅op(B)+β⋅C
+with
+
+op(A)=⎧⎩⎨⎪⎪A,AT,AH,if trans_A == rocsparse_operation_noneif trans_A == rocsparse_operation_transposeif trans_A == rocsparse_operation_conjugate_transposeop(A)={A,if trans_A == rocsparse_operation_noneAT,if trans_A == rocsparse_operation_transposeAH,if trans_A == rocsparse_operation_conjugate_transpose
+
+and
+
+op(B)=⎧⎩⎨⎪⎪B,BT,BH,if trans_B == rocsparse_operation_noneif trans_B == rocsparse_operation_transposeif trans_B == rocsparse_operation_conjugate_transposeop(B)={B,if trans_B == rocsparse_operation_noneBT,if trans_B == rocsparse_operation_transposeBH,if trans_B == rocsparse_operation_conjugate_transpose
+Note: This function is non-blocking and executed asynchronously with the host. It may return before the actual computation has finished.
+
+For more information and examples, see
+https://rocsparse.readthedocs.io/en/master/usermanual.html#rocsparse-gemmi
+ 
+
+# Known Issues 
+The following are the known issues in this release.
+
+## (AOMP) ‘Undefined Hidden Symbol’ Linker Error Causes Compilation Failure in HIP
+
+The HIP example device_lib fails to compile due to unreferenced symbols with Link Time Optimization resulting in ‘undefined hidden symbol’ errors. 
+
+This issue is under investigation and there is no known workaround at this time.
+
+
+## MIGraphX Fails for fp16 Datatype
+The MIGraphX functionality does not work for the fp16 datatype.  
+
+The following workaround is recommended: 
+
+Use the AMD ROCm v3.3 of MIGraphX 
+
+Or
+
+Build MIGraphX v3.7 from the source using AMD ROCm v3.3
+
+## Missing Google Test Installation May Cause RCCL Unit Test Compilation Failure
+Users of the RCCL install.sh script may encounter an RCCL unit test compilation error. It is recommended to use CMAKE directly instead of install.sh to compile RCCL. Ensure Google Test 1.10+ is available in the CMAKE search path.
+
+
+As a workaround, use the latest RCCL from the GitHub development branch at:
+https://github.com/ROCmSoftwarePlatform/rccl/pull/237
+
+
+## Issue with Peer-to-Peer Transfers 
+Using peer-to-peer (P2P) transfers on systems without the hardware P2P assistance may produce incorrect results.
+
+Ensure the hardware supports peer-to-peer transfers and enable the peer-to-peer setting in the hardware to resolve this issue. 
+
+
+## Partial Loss of Tracing Events for Large Applications
+An internal tracing buffer allocation issue can cause a partial loss of some tracing events for large applications.
+
+As a workaround, rebuild the roctracer/rocprofiler libraries from the GitHub ‘roc-3.7’ branch at:
+•	https://github.com/ROCm-Developer-Tools/rocprofiler
+•	https://github.com/ROCm-Developer-Tools/roctracer
+
+
+## GPU Kernel C++ Names Not Demangled
+GPU kernel C++ names in the profiling traces and stats produced by ‘—hsa-trace’ option are not demangled.
+
+As a workaround, users may choose to demangle the GPU kernel C++ names as required.
+
+
+## ‘rocprof’ option ‘--parallel-kernels’ Not Supported in This Release
+
+‘rocprof’ option ‘--parallel-kernels’ is available in the options list, however,  it is not fully validated and supported in this release.
+
+## Random Soft Hang Observed When Running ResNet-Based Models
+
+A random soft hang is observed when running ResNet-based models for a loop run of more than 25 to 30 hours.  The issue is observed on both PyTorch and TensorFlow frameworks.
+You can terminate the unresponsive process to temporarily resolve the issue.
+
+There is no known workaround at this time.
+
+
+
+# Deploying ROCm
+AMD hosts both Debian and RPM repositories for the ROCm v3.7.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
 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.

@@ -36,24 +333,25 @@ 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
-    * "Polaris 11" chips, such as on the AMD Radeon RX 570 and Radeon Pro WX 4100
-    * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
  * GFX9 GPUs
    * "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
-    * "Vega 7nm" chips, such as the AMD Radeon VII
+    * "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII

 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
+    * "Polaris 11" chips, such as on the AMD Radeon RX 570 and Radeon Pro WX 4100
+    * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
  * GFX7 GPUs
    * "Hawaii" chips, such as the AMD Radeon R9 390X and FirePro W9100

-As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) with support for PCIe atomics. This requires both CPU and motherboard support. GFX9 GPUs, by default, also require PCIe 3.0 with support for PCIe atomics, but they can operate in most cases without this capability.
+As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) with support for PCIe atomics. This requires both CPU and motherboard support. GFX9 GPUs require PCIe 3.0 with support for PCIe atomics by default, but they can operate in most cases without this capability.

-At this time, the integrated GPUs in AMD APUs are not officially supported targets for ROCm.
-As descried [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.
+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 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).
@@ -65,14 +363,14 @@ The CPU root must indicate PCIe AtomicOp Completion capabilities and any interme

 Current CPUs which support PCIe Gen3 + PCIe Atomics are:

-  * AMD Ryzen CPUs;
-  * The CPUs in AMD Ryzen APUs;
+  * AMD Ryzen CPUs
+  * The CPUs in AMD Ryzen APUs
  * AMD Ryzen Threadripper CPUs
-  * AMD EPYC CPUs;  
-  * Intel Xeon E7 v3 or newer CPUs;
-  * Intel Xeon E5 v3 or newer CPUs; 
-  * Intel Xeon E3 v3 or newer CPUs;
-  * Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer).
+  * AMD EPYC CPUs
+  * Intel Xeon E7 v3 or newer CPUs
+  * Intel Xeon E5 v3 or newer CPUs
+  * Intel Xeon E3 v3 or newer CPUs
+  * Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer)
  * Some Ivy Bridge-E systems

 Beginning with ROCm 1.8, GFX9 GPUs (such as Vega 10) no longer require PCIe atomics.
@@ -81,7 +379,7 @@ GFX9 GPUs can now be run on CPUs without PCIe atomics and on older PCIe generati
 This is not supported on GPUs below GFX9, e.g. GFX8 cards in the Fiji and Polaris families.

 If you are using any PCIe switches in your system, please note that PCIe Atomics are only supported on some switches, such as Broadcom PLX.
-When you install your GPUs, make sure you install them in a PCIe 3.0 x16, x8, x4, or x1 slot attached either directly to the CPU's Root I/O controller or via a PCIe switch directly attached to the CPU's Root I/O controller.
+When you install your GPUs, make sure you install them in a PCIe 3.1.0 x16, x8, x4, or x1 slot attached either directly to the CPU's Root I/O controller or via a PCIe switch directly attached to the CPU's Root I/O controller.

 In our experience, many issues stem from trying to use consumer motherboards which provide physical x16 connectors that are electrically connected as e.g. PCIe 2.0 x4, PCIe slots connected via the Southbridge PCIe I/O controller, or PCIe slots connected through a PCIe switch that does
 not support PCIe atomics.
@@ -95,100 +393,27 @@ Experimental support for our Hawaii (GFX7) GPUs (Radeon R9 290, R9 390, FirePro
 does not require or take advantage of PCIe Atomics. However, we still recommend that you use a CPU
 from the list provided above for compatibility purposes.

-#### Not supported or limited support under ROCm 
-##### Limited support 
+#### Not supported or limited support under ROCm
+##### Limited support

-* ROCm 2.1.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 3.0 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.
+* 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 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 2.1.x
+##### Not supported
+
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.9.x
 * 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.

-### 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)
-
-Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
-
-
-### The latest ROCm platform - ROCm 2.1
-
-The latest supported version of the drivers, tools, libraries and source code for the ROCm platform have been released and are available from the following GitHub repositories:
-
-* ROCm Core Components
-  - [ROCk Kernel Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-2.1.0)
-  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-2.1.0)
-  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.1.0)
-* ROCm Support Software
-  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.1.0)
-  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/ac45c6e2)
-  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/1bb0ccc7)
-  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.1.0)
-* ROCm Development Tools
-  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.1.0)
-  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.1.0)
-  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.1.0)
-  - ROCm OpenCL, which is created from the following components:
-    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.1.0)
-    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.1.0)
-    - The ROCm OpenCL compiler, which is created from the following components:
-      - [ROCm LLVM](http://github.com/RadeonOpenCompute/llvm/tree/roc-2.1.0)
-      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.1.0)
-      - [ROCm lld](http://github.com/RadeonOpenCompute/lld/tree/roc-2.1.0)
-      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.1.0)
-  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/e605688a)
-  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
-  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.1.0)
-  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.1.0)
-  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.1.0)
-  - [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.1.0)
-  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/a31fe682)
-  - Example Applications:
-    - [HCC Examples](https://github.com/ROCm-Developer-Tools/HCC-Example-Application/tree/ffd65333)
-    - [HIP Examples](https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/roc-2.1.0)
-* ROCm Libraries
-  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/v2.1.0)
-  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/v0.12.2.0)
-  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/v0.8.8)
-  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.1)
-  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.1)
-  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.1)
-  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.1)
-  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
-  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/1.7.0)
-  - [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/e0b8fe2a)
-  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/ce2c7c16)
-  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/0.7.4)
-  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/1.0.0)
-  - [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
-
-#### Supported Operating Systems - New operating systems available
-
-The ROCm 2.1.x platform supports the following operating systems:
-
- * Ubuntu 16.04.x and 18.04.x (Version 16.04.3 and newer or kernels 4.13 and newer)
- * CentOS 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
- * RHEL 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
-
 #### 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.
@@ -209,468 +434,15 @@ For users that have the option of using either AMD's or the upstreamed driver, t
 |      | Supported GPUs enabled regardless of kernel version | |
 |      | Includes the latest GPU firmware | |
 | Cons | May not work on all Linux distributions or versions | Features and hardware support varies depending on kernel version |
-|      | Not currently supported on kernels newer than 4.18 | Limits GPU's usage of system memory to 3/8 of system memory |
+|      | Not currently supported on kernels newer than 5.4 | Limits GPU's usage of system memory to 3/8 of system memory (before 5.6). For 5.6 and beyond, both DKMS and upstream kernels allow use of 15/16 of system memory. |
 |      |   | IPC and RDMA capabilities are not yet enabled |
 |      |   | Not tested by AMD to the same level as `rock-dkms` package |
 |      |   | Does not include most up-to-date firmware |


-### Installing from AMD ROCm repositories

-AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.1.x packages at this time.
+## Machine Learning and High Performance Computing Software Stack for AMD GPU

-The packages in the Debian repository have been signed to ensure package integrity.
+For an updated version of the software stack for AMD GPU, see

-#### ROCm Binary Package Structure
-
-ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
-In AMD's package distributions, these software projects are provided as a separate packages.
-This allows users to install only the packages they need, if they do not wish to install all of ROCm.
-These packages will install most of the ROCm software into `/opt/rocm/` by default.
-
-The packages for each of the major ROCm components are:
-
-* ROCm Core Components
-  - ROCk Kernel Driver: `rock-dkms`
-  - ROCr Runtime: `hsa-rocr-dev`, `hsa-ext-rocr-dev`
-  - ROCt Thunk Interface: `hsakmt-roct`, `hsakmt-roct-dev`
-* ROCm Support Software
-  - ROCm SMI: `rocm-smi`
-  - ROCm cmake: `rocm-cmake`
-  - rocminfo: `rocminfo`
-  - ROCm Bandwidth Test: `rocm_bandwidth_test`
-* ROCm Development Tools
-  - HCC compiler: `hcc`
-  - HIP: `hip_base`, `hip_doc`, `hip_hcc`, `hip_samples`
-  - ROCm Device Libraries: `rocm-device-libs`
-  - ROCm OpenCL: `rocm-opencl`, `rocm-opencl-devel` (on RHEL/CentOS), `rocm-opencl-dev` (on Ubuntu)
-  - ROCM Clang-OCL Kernel Compiler: `rocm-clang-ocl`
-  - Asynchronous Task and Memory Interface (ATMI): `atmi`
-  - ROCr Debug Agent: `rocr_debug_agent`
-  - ROCm Code Object Manager: `comgr`
-  - ROC Profiler: `rocprofiler-dev`
-  - ROC Tracer: `roctracer-dev`
-  - Radeon Compute Profiler: `rocm-profiler`
-* ROCm Libraries
-  - rocBLAS: `rocblas`
-  - hipBLAS: `hipblas`
-  - rocFFT: `rocfft`
-  - rocRAND: `rocrand`
-  - rocSPARSE: `rocsparse`
-  - hipSPARSE: `hipsparse`
-  - rocALUTION: `rocalution:`
-  - MIOpenGEMM: `miopengemm`
-  - MIOpen: `MIOpen-HIP` (for the HIP version), `MIOpen-OpenCL` (for the OpenCL version)
-  - HIP Thrust: `thrust` (on RHEL/CentOS), `hip-thrust` (on Ubuntu)
-  - ROCm SMI Lib: `rocm_smi_lib64`
-  - RCCL: `rccl`
-  - MIVisionX: `mivisionx`
-  - CUB HIP: `cub-hip`
-
-To make it easier to install ROCm, the AMD binary repos provide a number of meta-packages that will automatically install multiple other packages.
-For example, `rocm-dkms` is the primary meta-package that is used to install most of the base technology needed for ROCm to operate.
-It will install the `rock-dkms` kernel driver, and another meta-package (`rocm-dev`) which installs most of the user-land ROCm core components, support software, and development tools.
-
-The `rocm-utils` meta-package will install useful utilities that, while not required for ROCm to operate, may still be beneficial to have.
-Finally, the `rocm-libs` meta-package will install some (but not all) of the libraries that are part of ROCm.
-
-The chain of software installed by these meta-packages is illustrated below
-
-```
-rocm-dkms
- |-- rock-dkms
- \-- rocm-dev
-      |--hsa-rocr-dev
-      |--hsa-ext-rocr-dev
-      |--rocm-device-libs
-      |--rocm-utils
-          |-- rocminfo
-          |-- rocm-cmake
-          \-- rocm-clang-ocl # This will cause OpenCL to be installed
-      |--hcc
-      |--hip_base
-      |--hip_doc
-      |--hip_hcc
-      |--hip_samples
-      |--rocm-smi
-      |--hsakmt-roct
-      |--hsakmt-roct-dev
-      |--hsa-amd-aqlprofile
-      |--comgr
-      \--rocr_debug_agent
-
-rocm-libs
- |-- rocblas
- |-- rocfft
- |-- rocrand
- \-- hipblas
-```
-
-These meta-packages are not required but may be useful to make it easier to install ROCm on most systems.
-Some users may want to skip certain packages. For instance, a user that wants to use the upstream kernel drivers (rather than those supplied by AMD) may want to skip the `rocm-dkms` and `rock-dkms` packages, and instead directly install `rocm-dev`.
-
-Similarly, a user that only wants to install OpenCL support instead of HCC and HIP may want to skip the `rocm-dkms` and `rocm-dev` packages.
-Instead, they could directly install `rock-dkms`, `rocm-opencl`, and `rocm-opencl-dev` and their dependencies.
-
-#### Ubuntu Support - installing from a Debian repository
-
-The following directions show how to install ROCm on supported Debian-based systems such as Ubuntu 18.04.
-These directions may not work as written on unsupported Debian-based distributions.
-For example, newer versions of Ubuntu may not be compatible with the `rock-dkms` kernel driver.
-As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-debian-based-rocm-with-upstream-kernel-drivers).
-
-##### First make sure your system is up to date 
-
-```shell
-sudo apt update
-sudo apt dist-upgrade
-sudo apt install libnuma-dev
-sudo reboot
-```
-
-##### Add the ROCm apt repository
-
-For Debian-based systems like Ubuntu, configure the Debian ROCm repository as
-follows:
-
-```shell
-wget -qO - http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | sudo apt-key add -
-echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main' | sudo tee /etc/apt/sources.list.d/rocm.list
-```
-The gpg key might change, so it may need to be updated when installing a new release. 
-If the key signature verification is failed while update, please re-add the key from 
-ROCm apt repository. The current rocm.gpg.key is not available in a standard key ring 
-distribution, but has the following sha1sum hash:
-
-`f7f8147431c75e505c58a6f3a3548510869357a6  rocm.gpg.key`
-
-##### Install
-
-Next, update the apt repository list and install the `rocm-dkms` meta-package:
-
-```shell
-sudo apt update
-sudo apt install rocm-dkms
-```
-
-##### Next set your permissions 
-
-Users will need to be in the `video` group in order to have access to the GPU.
-As such, you should ensure that your user account is a member of the `video` group prior to using ROCm.
-You can find which groups you are a member of with the following command:
-
-```shell
-groups
-```
-
-To add yourself to the video group you will need the sudo password and can use the following command:
-
-```shell
-sudo usermod -a -G video $LOGNAME 
-```
-
-You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
-
-```shell
-echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
-echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
-```
-
-Once complete, reboot your system.
-
-##### Test basic ROCm installation
-
-After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
-
-```shell
-/opt/rocm/bin/rocminfo 
-/opt/rocm/opencl/bin/x86_64/clinfo 
-```
-
-Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
-
-```shell
-echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
-```
-
-If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
-
-##### Performing an OpenCL-only Installation of ROCm
-
-Some users may want to install a subset of the full ROCm installation.
-In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
-To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
-
-```shell
-sudo apt-get install dkms rock-dkms rocm-opencl-dev
-```
-
-##### How to uninstall from Ubuntu 16.04 or Ubuntu 18.04
-
-To uninstall the ROCm packages installed in the above directions, you can execute;
-
-```shell
-sudo apt autoremove rocm-dkms rocm-dev rocm-utils
-```
-
-##### Installing development packages for cross compilation
-
-It is often useful to develop and test on different systems.
-For example, some development or build systems may not have an AMD GPU installed.
-In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.
-
-In this case, install the development subset of packages:
-
-```shell
-sudo apt update
-sudo apt install rocm-dev
-```
->**Note:** To execute ROCm enabled apps you will require a system with the full
->ROCm driver stack installed
-
-##### Using Debian-based ROCm with upstream kernel drivers
-
-As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), users may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
-Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`
-
-```shell
-sudo apt update
-sudo apt install rocm-dev
-echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
-```
-
-#### CentOS/RHEL 7 (7.4, 7.5, 7.6) Support
-
-The following directions show how to install ROCm on supported RPM-based systems such as CentOS 7.6.
-These directions may not work as written on unsupported RPM-based distributions.
-For example, Fedora may work but may not be compatible with the `rock-dkms` kernel driver.
-As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-rpm-based-rocm-with-upstream-kernel-drivers).
-
-Support for CentOS/RHEL 7 was added in ROCm 1.8, but ROCm requires a special 
-runtime environment provided by the RHEL Software Collections and additional
-dkms support packages to properly install and run.
-
-##### Preparing RHEL 7 (7.4, 7.5, 7.6) for installation
-
-RHEL is a subscription-based operating system, and you must enable several external
-repositories to enable installation of the devtoolset-7 environment and the DKMS
-support files. These steps are not required for CentOS.
-
-First, the subscription for RHEL must be enabled and attached to a pool id. Please
-see Obtaining an RHEL image and license page for instructions on registering your
-system with the RHEL subscription server and attaching to a pool id.
-
-
-Second, enable the following repositories:
-
-```shell
-sudo subscription-manager repos --enable rhel-server-rhscl-7-rpms
-sudo subscription-manager repos --enable rhel-7-server-optional-rpms
-sudo subscription-manager repos --enable rhel-7-server-extras-rpms
-```
-
-Third, enable additional repositories by downloading and installing the epel-release-latest-7 repository RPM:
-
-```shell
-sudo rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
-```
-
-##### Install and setup Devtoolset-7
-
-To setup the Devtoolset-7 environment, follow the instructions on this page:
-
-https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
-
-Note that devtoolset-7 is a Software Collections package, and it is not supported by AMD.
-
-##### Prepare CentOS/RHEL (7.4, 7.5, 7.6) for DKMS Install
-
-Installing kernel drivers on CentOS/RHEL 7.4/7.5/7.6 requires dkms tool being installed:
-
-```shell
-sudo yum install -y epel-release
-sudo yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
-```
-
-##### Installing ROCm on the system
-
-It is recommended to [remove previous ROCm installations](https://github.com/RadeonOpenCompute/ROCm#how-to-uninstall-rocm-from-centosrhel-74-75-and-76) before installing the latest version to ensure a smooth installation.
-
-At this point ROCm can be installed on the target system. Create a /etc/yum.repos.d/rocm.repo file with the following contents:
-
-```shell
-[ROCm]
-name=ROCm
-baseurl=http://repo.radeon.com/rocm/yum/rpm
-enabled=1
-gpgcheck=0
-```
-
-The repo's URL should point to the location of the repositories repodata database. Install ROCm components using these commands:
-
-```shell
-sudo yum install rocm-dkms
-```
-
-The rock-dkms component should be installed and the `/dev/kfd` device should be available on reboot.
-
-##### Set up permissions
-
-Ensure that your user account is a member of the "video" or "wheel" group prior to using the ROCm driver.
-You can find which groups you are a member of with the following command:
-
-```shell
-groups
-```
-
-To add yourself to the video (or wheel) group you will need the sudo password and can use the
-following command:
-
-```shell
-sudo usermod -a -G video $LOGNAME 
-```
-
-You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
-
-```shell
-echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
-echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
-```
-
-Current release supports CentOS/RHEL 7.4, 7.5, 7.6. If users want to update the OS version, they should completely remove ROCm packages before updating to the latest version of the OS, to avoid DKMS related issues.
-
-Once complete, reboot your system.
-
-###### Test basic ROCm installation
-
-After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
-
-```shell
-/opt/rocm/bin/rocminfo
-/opt/rocm/opencl/bin/x86_64/clinfo
-```
-
-Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
-
-```shell
-echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
-```
-
-If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
-
-###### Performing an OpenCL-only Installation of ROCm
-
-Some users may want to install a subset of the full ROCm installation.
-In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
-To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
-
-```shell
-sudo yum install rock-dkms rocm-opencl-devel
-```
-
-##### Compiling applications using HCC, HIP, and other ROCm software
-
-To compile applications or samples, please use gcc-7.2 provided by the devtoolset-7 environment.
-To do this, compile all applications after running this command: 
-
-```shell
-scl enable devtoolset-7 bash
-```
-##### How to uninstall ROCm from CentOS/RHEL 7.4, 7.5 and 7.6
-
-To uninstall the ROCm packages installed by the above directions, you can execute:
-
-```shell
-sudo yum autoremove rocm-dkms rock-dkms
-```
-
-##### Installing development packages for cross compilation
-
-It is often useful to develop and test on different systems.
-For example, some development or build systems may not have an AMD GPU installed.
-In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.
-
-In this case, install the development subset of packages:
-
-```shell
-sudo yum install rocm-dev
-```
->**Note:** To execute ROCm enabled apps you will require a system with the full
->ROCm driver stack installed
-
-##### Using ROCm with upstream kernel drivers
-
-As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), use
-rs may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
-Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`
-
-```shell
-sudo yum install rocm-dev
-echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
-```
-
-### Known issues / workarounds
-
-PyTorch : observing “test_gamma_gpu_sample” subtest failure and test_cuda : test_gather_dim test failure in few configs
-Tensor flow : observed memory access fault while running SAGAN tensor flow model in Polaris based ASIC
-Caffe2 : Observed segmentation fault (core dumped) while running Caffe2 mGPU Resnet/ResNext Training using 4 GPU's
-
-
-#### HipCaffe is supported on single GPU configurations
-
-#### The ROCm SMI library calls to rsmi_dev_power_cap_set() and rsmi_dev_power_profile_set() will not work for all but the first gpu in multi-gpu set ups.
-
-### Closed source components
-
-The ROCm platform relies on a few closed source components to provide functionality
-such as HSA image support. These components are only available through the ROCm
-repositories, and they will either be deprecated or become open source components in the
-future. These components are made available in the following packages:
-
-*  hsa-ext-rocr-dev
-
-### Getting ROCm source code
-
-ROCm is built from open source software.
-As such, it is possible to make modifications to the various components of ROCm by downloading the source code, making modifications to it, and rebuilding the components.
-The source code for ROCm components can be cloned from each of the GitHub repositories using git.
-In order to make it easier to download the correct versions of each of these tools, this ROCm repository contains a [repo](https://gerrit.googlesource.com/git-repo/) manifest file, [default.xml](default.xml).
-Interested users can thus use this manifest file to download the source code for all of the ROCm software.
-
-#### Installing repo
-
-Google's repo tool allows you to manage multiple git repositories simultaneously.
-You can install it by executing the following example commands:
-
-```shell
-mkdir -p ~/bin/
-curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
-chmod a+x ~/bin/repo
-```
-Note that you can choose a different folder to install repo into if you desire. `~/bin/` is simply used as an example.
-
-#### Downloading the ROCm source code
-
-The following example shows how to use the `repo` binary downloaded above to download all of the ROCm source code.
-If you chose a directory other than `~/bin/` to install `repo`, you should use that directory below.
-
-```shell
-mkdir -p ~/ROCm/
-cd ~/ROCm/
-~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.1.0
-repo sync
-```
-
-This will cause repo to download all of the open source code associated with this ROCm release.
-You may want to ensure that you have ssh-keys configured on your machine for your GitHub ID.
-
-#### Building the ROCm source code
-
-Each ROCm component repository contains directions for building that component.
-As such, you should go to the repository you are interested in building to find how to build it.
-
-That said, AMD also offers [a project](https://github.com/RadeonOpenCompute/Experimental_ROC) that demonstrates how to download, build, package, and install ROCm software on various distributions.
-The scripts here may be useful for anyone looking to build ROCm components.
-
-### Final notes
-* OpenCL Runtime and Compiler will be submitted to the Khronos Group for conformance testing prior to its final release.
+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
--- a/default.xml
+++ b/default.xml
@@ -1,6 +1,5 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <manifest>
-
    <remote name="roc-github"
            fetch="http://github.com/RadeonOpenCompute/" />
    <remote name="rocm-devtools"
@@ -11,63 +10,70 @@
            fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
    <remote name="gpuopen-tools"
            fetch="https://github.com/GPUOpen-Tools/" />
-
-    <default revision="refs/tags/roc-2.1.0"
+    <remote name="KhronosGroup"
+            fetch="https://github.com/KhronosGroup/" />
+    <default revision="refs/tags/rocm-3.7.0"
             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-cmake" revision="6240bb35a3f6cc775b57561506b10e932130e20a" />
-    <project name="rocminfo" revision="1bb0ccc731f772bb1a553e37b41d06eb0a684926" />
+    <project name="rocm_smi_lib" remote="roc-github" />
+    <project name="rocm-cmake" />
+    <project name="rocminfo" />
    <project name="rocprofiler" remote="rocm-devtools" />
    <project name="roctracer" remote="rocm-devtools" />
-    <!-- If you want to get the full OpenCL runtime, there is a separate repo
-         manifest that is more authoritative than the copy in this file. It can
-         be found at the following URL:
-         https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/blob/roc-2.0.0/opencl.xml -->
-    <remote name="KhronosGroup" fetch="https://github.com/KhronosGroup/" />
    <project name="ROCm-OpenCL-Runtime" />
-    <project path="ROCm-OpenCL-Runtime/compiler/driver" name="ROCm-OpenCL-Driver"/>
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" />
-    <project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs"/>
-    <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="261c1288aadd9dcc4637aca08332f603e6c13715" />
-
-    <project name="clang-ocl" revision="688fe5d98b3d6a06838f10d3a7db951c288c0f54" />
-    <!-- HCC needs to be recursively synced to get it submodules -->
-    <project name="hcc" sync-s="true" />
-    <project name="HCC-Example-Application" remote="rocm-devtools" revision="ffd6533305e79eed667badd3c4cdb7879a1281b8" />
+    <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="HIP" remote="rocm-devtools" />
    <project name="HIP-Examples" 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" path="llvm_amd-common" />
-    <project name="lld" path="llvm_amd-common/lld" />
-    <project name="clang" path="llvm_amd-common/clang" />
+    <project name="llvm-project" path="llvm_amd-stg-open" />
    <project name="ROCm-Device-Libs" />
-    <project name="atmi" revision="4dd14ad8fafc64dc8f35b0646cfe84e3e36a3c64" />
+    <project name="atmi" />
    <project name="ROCm-CompilerSupport" />
-    <project name="rocr_debug_agent" remote="rocm-devtools" />
+    <project name="rocr_debug_agent" remote="rocm-devtools" revision="refs/tags/roc-3.7.0" />
    <project name="rocm_bandwidth_test" />
-    <project name="RCP" remote="gpuopen-tools" revision="refs/tags/v5.6" />
-
+    <project name="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
+    <!-- gdb projects -->
+    <project name="ROCgdb" remote="rocm-devtools" />
+    <project name="ROCdbgapi" remote="rocm-devtools" />
    <!-- ROCm Libraries -->
-    <project name="rocBLAS" remote="rocm-swplat" revision="refs/tags/v2.0.0" />
-    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/v0.12.1.0" />
-    <project name="rocFFT" remote="rocm-swplat" revision="refs/tags/v0.8.8" />
-    <project name="rocRAND" remote="rocm-swplat" revision="7278524ea37f449795fdafcd0bf5307f61f06ba9" />
-    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.1" />
-    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.2" />
-    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/v1.3.7" />
-    <project name="MIOpenGEMM" remote="rocm-swplat" revision="9547fb9e8499a5a9f16da83b1e6b749de82dd9fb" />
-    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/1.7.0" />
-    <project name="Thrust" remote="rocm-swplat" revision="e0b8fe2af3d345fb85689011140a20ff46fb610d" sync-s="true" />
-    <project name="rocm_smi_lib" />
-    <project name="rccl" remote="rocm-swplat" revision="refs/tags/0.7.4" />
-    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.0.0" />
-    <project name="cub-hip" remote="rocm-swplat" revision="hip_port_1.7.4" />
+    <project name="rocBLAS" remote="rocm-swplat" />
+    <project name="hipBLAS" remote="rocm-swplat" />
+    <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" />
+    <project name="MIOpen" remote="rocm-swplat" />
+    <project name="rccl" 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" revision="e66968a25f9342a28af1157b06cbdbf8579c5519" />
+    <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" />
+    <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" />
+    <project name="ROCm-OpenCL-Runtime" path="aomp/opencl-on-vdi" remote="roc-github" />
 </manifest>
--- a/version_history.md
+++ b/version_history.md
@@ -1,7 +1,19 @@
 ## ROCm Version History
 This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)

-### Current ROCm Version: 2.1
+### 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)
@@ -13,14 +25,306 @@ This file contains archived version history information for the [ROCm project](h
 - [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)

@@ -186,15 +490,14 @@ To try ROCm with an upstream kernel, install ROCm as normal, but do not install
 #### 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 
+   runtime
 * Supports offline ahead of time compilation today;
-   during the Beta phase we will add in-process/in-memory compilation. 
+   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 

+#### IPC support