Remove MiGraphX from 3.8

hipfort addition to 3.8
Remove version_history.md file. Since we are currently maintaining it on external documentation.
2026-01-10 15:18:11 -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
9 changed files with 168 additions and 1081 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/AMD_ROCm_v2.10_Release_Notes.pdf
+++ b/AMD_ROCm_v2.10_Release_Notes.pdf
--- a/RDCComponentsrevised.png
+++ b/RDCComponentsrevised.png
--- a/README.md
+++ b/README.md
@@ -1,506 +1,211 @@
-# AMD ROCm Release Notes v2.10
+
+# 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 v2.10 release.
+It also covers known issues in this release.

- [What Is ROCm?](#What-Is-ROCm)
-  * [ROCm Components](#ROCm-Components)
+- [Supported Operating Systems and Documentation Updates](#Supported-Operating-Systems-and-Documentation-Updates)
  * [Supported Operating Systems](#Supported-Operating-Systems)
-  * [Important ROCm Links](#Important-ROCm-Links)
-  
- [Whats New in This Release](#Whats-New-in-This-Release)
-  * [rocBLAS Support for Complex GEMM](#rocBLAS-Support-for-Complex-GEMM)
-  * [Support for SLES 15 SP1](#Support-for-SLES-15-SP1)
-  * [Code Marker Support for rocProfiler and rocTracer Libraries](#Code-Marker-Support-for-rocProfiler-and-rocTracer-Libraries)
-  
- [Fixed Issues](#Fixed-Issues)
-   * [Running TensorFlow and PyTorch Frameworks Consecutively Results in the Memory Access Fault error ](#Running-TensorFlow-and-PyTorch-Frameworks-Consecutively-Results-in-the-Memory-Access-Fault-error)
-   * [Issue with the Docker Container Environment Variable Setting](#Issue-with-the-Docker-Container-Environment-Variable-Setting)
-   * [Printf Functionality in ROCm Re-Enabled](#Printf-functionality-in-ROCm-Re-Enabled)
- 
- - [Known Issues](#Known-Issues)
-   * [Memory Access Fault Error While Running RCCL in Docker Container](#Memory-Access-Fault-Error-While-Running-RCCL-in-Docker-Container)
-   * [Workaround for Tracer Library Fails to Load on RHEL](#Workaround-for-Tracer-Library-Fails-to-Load-on-RHEL)
+  * [AMD ROCm Documentation Updates](#AMD-ROCm-Documentation-Updates)
   
- [Deprecated Features](#Deprecated-Features)
-  * [ROCm OpenCL Driver](#ROCm-OpenCL-Driver)
-  * [Peer-to-Peer Bridge Driver for PeerDirect](#Peer-to-Peer-Bridge-Driver-for-PeerDirect)
-  
- [Deploying ROCm](#Deploying-ROCm)
-  * [Ubuntu](#Ubuntu)
-  * [CentOS RHEL](#CentOS-RHEL)
+- [What\'s New in This Release](#Whats-New-in-This-Release)
+  * [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)

- [ROCm Installation](#ROCm-Installation)
- [Getting the ROCm Source Code](#Getting-the-ROCm-Source-Code)
+- [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)
  

-## What Is ROCm?
-ROCm is designed to be a universal platform for gpu-accelerated computing. This modular design allows hardware vendors to build drivers that support the ROCm framework. ROCm is also designed to integrate multiple programming languages and makes it easy to add support for other languages. 

-Note: You can also clone the source code for individual ROCm components from the GitHub repositories.
+# Supported Operating Systems 

+## Support for Vega 7nm Workstation

-### ROCm Components
-The following components for the ROCm platform are released and available for the v2.10 release:
+This release extends support to the Vega 7nm Workstation (Vega20 GL-XE) version.

-• Drivers
+## List of Supported Operating Systems

-• Tools
+The AMD ROCm platform is designed to support the following operating systems:

-• Libraries
+* 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

-• Source Code
+## 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.

-You can access the latest supported version of drivers, tools, libraries, and source code for the ROCm platform at the following location:
-https://github.com/RadeonOpenCompute/ROCm
+For more information, refer to the AMD ROCm Installation Guide at:
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html

-### Supported Operating Systems
-The ROCm v2.10.x platform is designed to support the following operating systems:
+**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.

-•	SLES 15 SP1 
+**Note**: *render group* is required only for Ubuntu v20.04. For all other ROCm supported operating systems, continue to use *video group*.

-•	Ubuntu 16.04.6(Kernel 4.15) and 18.04.3(Kernel 5.0)
+* For ROCm v3.5 and releases thereafter,the *clinfo* path is changed to -  */opt/rocm/opencl/bin/clinfo*.

-•	CentOS 7.6 (Using devtoolset-7 runtime support)
+* For ROCm v3.3 and older releases, the *clinfo* path remains unchanged -  */opt/rocm/opencl/bin/x86_64/clinfo*.

-•	RHEL 7.6 (Using devtoolset-7 runtime support)

-For details about deploying the ROCm v2.10.x on these operating systems, see the Deploying ROCm section later in the document.
+# AMD ROCm Documentation Updates

-### Important ROCm Links
-Access the following links for more information on:
-•	ROCm documentation, see 
-https://rocm-documentation.readthedocs.io/en/latest/index.html
+## AMD ROCm Installation Guide 

-•	ROCm binary structure, see
-https://github.com/RadeonOpenCompute/ROCm/blob/master/README.md#rocm-binary-package-structure
+The AMD ROCm Installation Guide in this release includes:

-•	Common ROCm installation issues, see
-https://rocm.github.io/install_issues.html
+* Updated Supported Environments
+* HIP Installation Instructions
+* Tensorflow ROCm Port: Basic Installations on RHEL v8.2

-•	Instructions to install PyTorch after ROCm is installed – https://rocm-documentation.readthedocs.io/en/latest/Deep_learning/Deep-learning.html#pytorch
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html

-Note: These instructions reference the rocm/pytorch:rocm2.9_ubuntu16.04_py2.7_pytorch image. However, you can substitute the Ubuntu 18.04 image listed at https://hub.docker.com/r/rocm/pytorch/tags
+## AMD ROCm - HIP Documentation Updates

+* HIP Repository Information

-## Whats New in This Release
+For more information, see 

-### 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.
+https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#hip-repository-information

-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.
+## ROCm Data Center Tool User Guide

-### 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.
+* Error-Correction Codes Field and Output Documentation

-Note: The SUSE Linux® Enterprise Server is a licensed platform. Ensure you have registered and have a license key prior to installation. Use the following SUSE command line to apply your license:
-SUSEConnect -r < Key>
+For more information, refer to the AMD ROCm Data Center User Guide at

-#### SLES 15 SP1 
-The following section tells you how to perform an install and uninstall ROCm on SLES 15 SP 1. 
-Run the following commands once for a fresh install on the operating system:
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_ROCm_DataCenter_Tool_User_Guide.pdf

-	sudo usermod -a -G video  $LOGNAME
-	sudo usermod  -a -G sudo $LOGNAME
-	sudo reboot
+## General AMD ROCm Documentation Links

-Installation
-1. Install the "dkms" package.
+Access the following links for more information:

-		sudo SUSEConnect --product PackageHub/15.1/x86_64
-		sudo zypper install dkms
-	
-2. Add the ROCm repo.
+* For AMD ROCm documentation, see 

-		sudo zypper clean --all
-		sudo zypper addrepo --no-gpgcheck http://repo.radeon.com/rocm/zyp/zypper/ rocm 
-		sudo zypper ref
-		zypper install rocm-dkms
-		sudo zypper install rocm-dkms
-		sudo reboot
+  https://rocmdocs.amd.com/en/latest/

-#Run the following command once
+* For installation instructions on supped platforms, see

-	cat <<EOF | sudo tee /etc/modprobe.d/10-unsupported-modules.conf
- 	allow_unsupported_modules 1
-	EOF
-	sudo modprobe amdgpu
-	
-3. Verify the ROCm installation.
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html

-Run /opt/rocm/bin/rocminfo and /opt/rocm/opencl/bin/x86_64/clinfo commands to list the GPUs and verify that the ROCm installation is successful.
+* For AMD ROCm binary structure, see

-Uninstallation
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#build-amd-rocm

-To uninstall, use the following command:
+* For AMD ROCm Release History, see

-	sudo zypper remove rocm-dkms rock-dkms
-	
-#Ensure all other installed packages/components are removed
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#amd-rocm-version-history

-Note: Ensure all the content in the /opt/rocm directory is completely removed.


-### 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.
+# What\'s New in This Release

-• The rocProfiler library enables you to profile performance counters and derived metrics. This library supports GFX8/GFX9 and provides a hardware-specific low-level performance analysis interface for profiling of GPU compute applications. The profiling includes hardware performance counters with complex performance metrics.
+## Hipfort-Interface for GPU Kernel Libraries

-• The rocTracer library provides a specific runtime profiler to trace API and asynchronous activity. The API provides functionality for registering the runtimes API callbacks and the asynchronous activity records pool support.
+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.

-• rocTX provides a C API for code markup for performance profiling and supports annotation of code ranges and ASCII markers.
+The hipfort interface library is meant for Fortran developers with a focus on gfortran users. 

+For information on HIPFort installation and examples, see
+https://github.com/ROCmSoftwarePlatform/hipfort
+  

-## Fixed Issues
-Fixed Issues in the v2.10 Release
-### Running TensorFlow and PyTorch Frameworks Consecutively Results in the Memory Access Fault error 
-Issue: Running the TensorFlow and PyTorch frameworks in quick succession results in a Memory Access Fault error.
+## ROCm Data Center Tool 

-Resolution: This issue is resolved, and the error no longer appears.
+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:

-### Issue with the Docker Container Environment Variable Setting
-Issue: Applications fail when the docker container is launched on the NUMA system without the ‘security-opt seccomp=unconfined’ setting.
+* GPU telemetry  

-Resolution: Configure the “–security-opt seccomp=unconfined” variable setting to avoid this issue.
+* GPU statistics for jobs 

-### Printf Functionality in ROCm Re-Enabled
-Known issues with hc:printf have been addressed in ROCm v2.10. The hc:printf functionality has now been re-enabled on all supported distros.
+* Integration with third-party tools 

-## Known Issues
-### Memory Access Fault Error While Running RCCL in Docker Container
-Issue: The Memory Access Fault error appears while running ROCm Communication Collectives Library (RCCL) tests in the Docker container.
+* Open source 

-Resolution: While launching the Docker container to run tests related to RCCL, including PyTorch, increase the size limit for the shared memory (SHM) directory to 1 GB. To increase the size limit of the shared memory directory, enter:
+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. 

-	“--shm-size = 1G”
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/RDCComponentsrevised.png)

-By default, Docker uses only16 MB of shared memory. Running a Docker container for RCCL requires you to resize the limit to 1 GB.

-### Workaround for Tracer Library Fails to Load on RHEL
-Issue: When running /opt/rocm/bin/rocprof --hip-trace <output filename>, a warning message is printed to console: "Tool lib "/opt/rocm/roctracer/tool/libtracer_tool.so" failed to load", and no output file is generated, on systems with RHEL distro.
+Refer to the ROCm Data Center Tool™ User Guide for more details on the different modes of operation.  

-Resolution: You can use either of the following workarounds to fix the issue:
+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. 

-• Run Idconfig
+For installation information on different distributions, refer to the ROCm Data Center User Guide at

-	'SUDO LDCONFIG' 
+https://github.com/RadeonOpenCompute/ROCm/blob/master/AMD_ROCm_DataCenter_Tool_User_Guide.pdf

- or 
- 
-• Configure LD_LIBRARY_PATH  

-	'EXPORT LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/OPT/ROCM/ROCTRACER/LIB'
+### Error Correcting Code Fields in ROCm Data Center Tool

+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. 

-## Deprecated Features
-The following features are deprecated in the AMD ROCm v2.10 release. 
+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. 

-### ROCm OpenCL Driver
-The AMD ROCm-OpenCL-Driver is now deprecated. Users should migrate to ROCm-CompilerSupport, which provides more comprehensive functionality. The compiler support repository provides various lightning compiler-related services. It currently contains a single library, the Code Object Manager (Comgr) at lib/comgr.
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/forweb.PNG)

-ROCm-OpenCL-Driver will no longer be actively maintained after the v2.10 release. If your application was developed with the ROCm-OpenCL-Driver, we would encourage you to switch to the ROCm-CompilerSupport repository.
+## Static Linking Libraries 

-### Peer-to-Peer Bridge Driver for PeerDirect
-The Peer-to-Peer bridge driver for the PeerDirect feature still works in the current release, however, it is now included as part of the ROCk kernel driver. ROCmRDMA allows third-party kernel drivers to utilize DMA access to the GPU memory. It allows a direct path for data exchange (peer-to-peer) using the standard features of PCI Express.
+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.

-Currently, ROCmRDMA provides the following benefits:
+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.

-•	Direct access to ROCm memory for 3rd party PCIe devices
+In the AMD ROCm v3.8 release, the following libraries support static linking: 

-•	Support for PeerDirect(c) interface to offloads the CPU when dealing with ROCm memory for RDMA network stacks
+![ScreenShot](https://github.com/Rmalavally/ROCm/blob/master/staticlinkinglib.PNG)

-## Deploying ROCm
-AMD hosts both Debian and RPM repositories for the ROCm v2.10x packages. 
+# Fixed Defects
+The following defects are fixed in this release:

-The following directions show how to install ROCm on supported Debian-based systems such as Ubuntu 18.04. 
+* 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

-Note: 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. In this case, you can exclude the rocm-dkms and rock-dkms packages.
+# Known Issues 

-For more information on the ROCm binary structure, see
-https://github.com/RadeonOpenCompute/ROCm/blob/master/README.md#rocm-binary-package-structure
+## Undefined Reference Issue in Statically Linked Libraries

-For information about upstream kernel drivers, see the Using Debian-based ROCm with Upstream Kernel Drivers section.
+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.  

-## Ubuntu 
-### Installing a ROCm Package from a Debian Repository
-To install from a Debian Repository:
-1.	Run the following code to ensure that your system is up to date:
-      
-     	sudo apt update
- 
-     	sudo apt dist-upgrade
-    
-     	sudo apt install libnuma-dev
-    
-     	sudo reboot 
-          
-    
- 2. Add the ROCm apt repository.
+Client applications may require linking with an additional library -lgcc_s to resolve the undefined reference to symbol '_Unwind_Resume@@GCC_3.0'.

-     For Debian-based systems like Ubuntu, configure the Debian ROCm repository as follows:
-   
-      	wget -q0 –
-     	 http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | 
+## MIGraphX Pooling Operation Fails for Some Models

-      	sudo apt-key add -echo 'deb [arch=amd64] 
-      	http://repo.radeon.com/rocm/apt/debian/ xenial main' | 
+MIGraphX does not work for some models with pooling operations and the following error appears:

-      	sudo tee /etc/apt/sources.list.d/rocm.list
-      
-  The gpg key may change; ensure it is updated when installing a new release. If the key signature verification fails while updating,     re-add the key from the ROCm apt repository. 
+*‘test_gpu_ops_test FAILED’*

-  The current rocm.gpg.key is not available in a standard key ring distribution, but has the following sha1sum hash:
+This issue is currently under investigation and there is no known workaround currently. 

-  	e85a40d1a43453fe37d63aa6899bc96e08f2817a rocm.gpg.key
-	
+## MIVisionX Installation Error on CentOS/RHEL8.2 and SLES 15

-3. Install the ROCm meta-package.
-   Update the appropriate repository list and install the rocm-dkms meta-package:
+Installing ROCm on MIVisionX results in the following error on CentOS/RHEL8.2 and SLES 15:

-     	sudo apt update
-   
-     	sudo apt install rocm-dkms
+*"Problem: nothing provides opencv needed"*

+As a workaround, install opencv before installing MIVisionX.

-4. Set permissions.
-   To access the GPU, you must be a user in the video group. Ensure your user account is a member of the video group prior to using ROCm. To identify the groups you are a member of, use the following command:	   
-	
-		groups
-   
-   
-5. To add your user to the video group, use the following command for the sudo password:
-	
-		sudo usermod -a -G video $LOGNAME

-6. By default, add any future users to the video group. Run the following command to add users to the video group:
+# Deploying ROCm
+AMD hosts both Debian and RPM repositories for the ROCm v3.8.x packages. 

-   		echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
-   
-   		echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
-   
-7. Restart the system.
+For more information on ROCM installation on all platforms, see

-8. Test the basic ROCm installation.
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html

-9. After restarting the system, run the following commands to verify that the ROCm installation is successful. If you see your GPUs listed by both commands, the installation is considered successful.
-
-		/opt/rocm/bin/rocminfo
-		/opt/rocm/opencl/bin/x86_64/clinfo
-
-Note: To run the ROCm programs more efficiently, add the ROCm binaries in your PATH.
-
-		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 installation issue, refer the FAQ at:
-https://rocm.github.io/install_issues.html
-
-
-
-### Uninstalling ROCm Packages from Ubuntu 
-To uninstall the ROCm packages from Ubuntu 1v6.04 or Ubuntu v18.04, run the following command:
-
-	sudo apt autoremove rocm-dkms rocm-dev rocm-utils
-
-
-### Installing Development Packages for Cross Compilation
-It is recommended that you develop and test development packages on different systems. For example, some development or build systems may not have an AMD GPU installed. In this scenario, you must avoid installing the ROCk kernel driver on the development system. 
-
-Instead, install the following development subset of packages:
-
-	sudo apt update
-	sudo apt install rocm-dev
-
-Note: To execute ROCm enabled applications, you must install the full ROCm driver stack on your system.
-
-
-### Using Debian-based ROCm with Upstream Kernel Drivers
-You can install the ROCm user-level software without installing the AMD's custom ROCk kernel driver. To use the upstream kernels, run the following commands instead of installing rocm-dkms:
-
-	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 
-
-This section describes how to install ROCm on supported RPM-based systems such as CentOS v7.6. 
-
-Note: The following instructions may not work on unsupported RPM-based distributions. For example, Fedora may not be compatible with the rock-dkms kernel driver. You can exclude the rocm-dkms and rock-dkms packages and use the upstream kernel driver instead.
-
-Note: Although support for CentOS/RHEL v7 was added in ROCm v1.8, ROCm requires a special runtime environment provided by the RHEL Software Collections and additional dkms support packages to install and run correctly.
-
-For more details, refer:
-https://github.com/RadeonOpenCompute/ROCm/blob/master/README.md#rocm-binary-package-structure
-
-### Preparing RHEL v7 (7.6) for Installation
-RHEL is a subscription-based operating system. You must enable the external repositories to install on the devtoolset-7 environment and the dkms support files. 
-
-Note: The following steps do not apply to the CentOS installation.
-
-1. The subscription for RHEL must be enabled and attached to a pool ID. See the Obtaining an RHEL image and license page for instructions on registering your system with the RHEL subscription server and attaching to a pool id.
-
-2. Enable the following repositories:
-
-	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
-
-3. Enable additional repositories by downloading and installing the epel-release-latest-7 repository RPM:
-
-	sudo rpm -ivh 
-
-For more details, see
-https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
-
-4. Install and set up Devtoolset-7.
-
-To setup the Devtoolset-7 environment, follow the instructions on this page:
-https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
-
-Note: devtoolset-7 is a software collections package and is not supported by AMD.
-
-### Installing CentOS/RHEL (v7.6) for DKMS
-
-Use the dkms tool to install the kernel drivers on CentOS/RHEL v7.6:
-
-	sudo yum install -y epel-release
-	sudo yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
-
-
-## ROCm Installation
-### Installing ROCm 
-
-To install ROCm on your system, follow the instructions below:
-
-1. Delete the previous versions of ROCm before installing the latest version.
-2. Create a /etc/yum.repos.d/rocm.repo file with the following contents:
-
-	[ROCm]
-	name=ROCm
-	baseurl=http://repo.radeon.com/rocm/yum/rpm
-	enabled=1
-	gpgcheck=0
-
-Note: The URL of the repository must point to the location of the repositories’ repodata database. 
-
-3. Install ROCm components using the following command:
-
-	sudo yum install rocm-dkms
-
-4.Restart the system.
-The rock-dkms component is installed and the /dev/kfd device is now available.
-
-### Setting Permissions
-To configure permissions, following the instructions below:
-
-1. 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:
-
-	groups
-	
-2. Add your user to the video (or wheel) group you will need the sudo password and can use the following command:
-
-	sudo usermod -a -G video $LOGNAME
-	
-Note: All future users must be added to the "video" group by default. To add the users to the group, run the following commands
-
-	echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
-	echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
-
-Note: The current release supports CentOS/RHEL v7.6. Before updating to the latest version of the operating system, delete the ROCm packages to avoid DKMS-related issues.
-
-3. Restart the system.
-
-### Testing the ROCm Installation
-After restarting the system, run the following commands to verify that the ROCm installation is successful. If you see your GPUs listed, you are good to go!
-
-	/opt/rocm/bin/rocminfo
-	/opt/rocm/opencl/bin/x86_64/clinfo
-
-Note: Add the ROCm binaries in your PATH for easy implementation of the ROCm programs.
-
-	echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
-
-For more information about installation issues, see:
-https://rocm.github.io/install_issues.html
-
-
-### Performing an OpenCL-only Installation of ROCm
-Some users may want to install a subset of the full ROCm installation. 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.
-
-	sudo yum install rock-dkms rocm-opencl-devel
-
-#### Compiling Applications Using HCC, HIP, and Other ROCm Software
-To compile applications or samples, run the following command to use gcc-7.2 provided by the devtoolset-7 environment:
-
-	scl enable devtoolset-7 bash
-
-### Uninstalling ROCm from CentOS/RHEL v7.6
-To uninstall the ROCm packages, run the following command:
-
-	sudo yum autoremove rocm-dkms rock-dkms
-
-### Installing Development Packages for Cross Compilation
-You can develop and test ROCm packages on different systems. For example, some development or build systems may not have an AMD GPU installed. In this scenario, you can avoid installing the ROCm kernel driver on your development system. Instead, install the following development subset of packages:
-
-	sudo yum install rocm-dev
-	
-Note: To execute ROCm-enabled applications, you will require a system installed with the full ROCm driver stack.
-
-### Using ROCm with Upstream Kernel Drivers
-You can install ROCm user-level software without installing AMD's custom ROCk kernel driver. To use the upstream kernel drivers, run the following commands 
-
-	sudo yum install rocm-dev
-	echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
-	
-Note: You can use this command instead of installing rocm-dkms.
-
-
-### ROCm Installation - Known Issues and Workarounds 
-#### Docker container environment variable setting
-
-Issue: Applications fail when a Docker container is launched on a NUMA system without --security-opt seccomp=unconfined. 
-
-Resolution: Set "--security-opt seccomp=unconfined" to fix this issue.
-
-#### Closed source components
-The ROCm platform relies on some closed source components to provide functionalities like HSA image support. These components are only available through the ROCm repositories, and they may be deprecated or become open source components in the future. These components are made available in the following packages:
-
-•	hsa-ext-rocr-dev
-
-
-## Getting the ROCm Source Code
-AMD ROCm is built from open source software. It is, therefore, possible to modify the various components of ROCm by downloading the source code and rebuilding the components. The source code for ROCm components can be cloned from each of the GitHub repositories using git.  For easy access to download the correct versions of each of these tools, the ROCm repository contains a repo manifest file called default.xml. You can use this manifest file to download the source code for ROCm software.
-
-### Installing the Repo
-The repo tool from Google® allows you to manage multiple git repositories simultaneously. Run the following commands to install the repo:
-
-	mkdir -p ~/bin/
-	curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
-	chmod a+x ~/bin/repo
-
-Note: You can choose a different folder to install the repo into if you desire. ~/bin/ is used as an example.
-
-### Downloading the ROCm Source Code
-The following example shows how to use the repo binary to download the ROCm source code. If you choose a directory other than ~/bin/ to install the repo, you must use that chosen directory in the code as shown below:
-
-	mkdir -p ~/ROCm/
-	cd ~/ROCm/
-	~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.10.0
-	repo sync
-
-Note: Using this sample code will cause the repo to download the open source code associated with this ROCm release. Ensure that you have ssh-keys configured on your machine for your GitHub ID prior to the download.
-
-### Building the ROCm Source Code
-Each ROCm component repository contains directions for building that component. You can access the desired component for instructions to build the repository.
-
-
-
-### 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.

@@ -530,7 +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).
@@ -558,7 +263,7 @@ 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.
@@ -573,15 +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 3.0 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.
+* 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.
@@ -593,14 +299,6 @@ from the list provided above for compatibility purposes.
  * 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.

-### Supported Operating Systems - New operating systems available
-
-The ROCm 2.9.x platform supports the following operating systems:
-
- * Ubuntu 16.04.5(Kernel 4.15) and 18.04.3(Kernel 4.15 and Kernel 4.18)
- * CentOS 7.6 (Using devtoolset-7 runtime support)
- * RHEL 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.
@@ -621,187 +319,15 @@ 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 |


-## Software Support
-As of AMD ROCm v1.9.0, the ROCm user-level software is compatible with the AMD drivers in certain upstream Linux kernels. You have the following options:
-
-• Use the ROCk kernel driver that is a part of AMD’s ROCm repositories 
-or
-• Use the upstream driver and only install ROCm user-level utilities from AMD’s ROCm repositories
-
-The releases of the upstream Linux kernel support the following GPUs in ROCm:
-
-• Fiji, Polaris 10, Polaris 11
-• Fiji, Polaris 10, Polaris 11, Vega10
-• Fiji, Polaris 10, Polaris 11, Vega10, Vega 7nm
-
-#### Supported Products
-
-• CUDA v8
-

 ## Machine Learning and High Performance Computing Software Stack for AMD GPU

-ROCm Version 2.10
+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
-  - rocALUTION: `rocalution`
-  - rocBLAS: `rocblas`
-  - hipBLAS: `hipblas`
-  - hipCUB: `hipCUB`
-  - rocFFT: `rocfft`
-  - rocRAND: `rocrand`
-  - rocSPARSE: `rocsparse`
-  - hipSPARSE: `hipsparse`
-  - ROCm SMI Lib: `rocm_smi_lib64`
-  - rocThrust: `rocThrust`
-  - MIOpen: `MIOpen-HIP` (for the HIP version), `MIOpen-OpenCL` (for the OpenCL version)
-  - MIOpenGEMM: `miopengemm`
-  - MIVisionX: `mivisionx`
-  - RCCL: `rccl`
-
-To make it easier to install ROCm, the AMD binary repositories 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
-       |--hsakmt-roct
-       |--hsakmt-roct-dev
-       |--rocm-cmake
-       |--rocm-device-libs
-       |--hcc
-       |--hip_base
-       |--hip_doc
-       |--hip_hcc
-       |--hip_samples
-       |--rocm-smi
-       |--hsa-amd-aqlprofile
-       |--comgr
-       |--rocr_debug_agent
-       \--rocm-utils
-          |--rocminfo
-          \--rocm-clang-ocl # This will cause OpenCL to be installed
-
-  rocm-libs
-    |--rocalution
-    |--hipblas
-    |--rocblas
-    |--rocfft
-    |--rocrand
-    |--hipsparse
-    \--rocsparse
-```
-
-These meta-packages are not required but may be useful to make it easier to install ROCm on most systems.
-
-Note: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.
-
-
-### ROCm Platform Packages
-
-Drivers, ToolChains, Libraries, and Source Code 
-
-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-2.10.0)
-  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-2.10.0)
-  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.10.0)  
-
-  
-#### ROCm Support Software
-  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.10.0)
-  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/roc-2.10.0)
-  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/roc-2.10.0)
-  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.10.0)
-  
-#### ROCm Development ToolChains
-  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-hcc-2.10.0)
-  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.10.0)
-  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-hcc-2.10.0)
-  - ROCm OpenCL, which is created from the following components:
-    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.10.0)
-    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.10.0)
-  - The ROCm OpenCL compiler, which is created from the following components:
-      - [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.10.0)
-      - [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.10.0)
-      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.10.0)
-      - [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.10.0)
-      - [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.10.0)
-      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-ocl-2.10.0)
-  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.10.0)
-  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/rocm_2.10.0)
-  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.10.0)
-  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.10.0)
-  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.10.0)
-  - [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.10.x)
-  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/3a49405)
-  - 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-2.10.0)
-    
-#### ROCm Libraries
-  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/rocm-2.10)
-  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/rocm-2.10)
-  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/rocm-2.10)
-  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/2.10.0)
-  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/rocm-2.10)
-  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/rocm-2.10)
-  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/rocm-2.10)
-  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/6275a879)
-  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/roc-2.10.0)
-  - [rocThrust](https://github.com/ROCmSoftwarePlatform/rocThrust/tree/2.10.0)
-  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.10.0)
-  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/2.10.0)
-  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/1.5)
-  - [hipCUB](https://github.com/ROCmSoftwarePlatform/hipCUB/tree/2.10.0)
-
-
-Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#software-stack-for-amd-gpu
--- 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"
@@ -11,66 +10,70 @@
            fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
    <remote name="gpuopen-tools"
            fetch="https://github.com/GPUOpen-Tools/" />
-
-    <default revision="refs/tags/roc-2.10.0"
+    <remote name="KhronosGroup"
+            fetch="https://github.com/KhronosGroup/" />
+    <default revision="refs/tags/rocm-3.8.0"
             remote="roc-github"
             sync-c="true"
             sync-j="4" />
-
+    <!--list of projects for ROCM-->
    <project name="ROCK-Kernel-Driver" />
    <project name="ROCT-Thunk-Interface" />
    <project name="ROCR-Runtime" />
    <project name="ROC-smi" />
+    <project name="rocm_smi_lib" remote="roc-github" />
    <project name="rocm-cmake" />
    <project name="rocminfo" />
-
-    <project name="rocprofiler" remote="rocm-devtools" revision="refs/tags/roc-2.10.0" />
-    <project name="roctracer" remote="rocm-devtools" revision="roc-2.10.x" />
-    <!-- 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="rocprofiler" remote="rocm-devtools" />
+    <project name="roctracer" remote="rocm-devtools" />
    <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" revision="refs/tags/roc-ocl-2.10.0" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" revision="refs/tags/roc-ocl-2.10.0" />
-    <project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs" revision="refs/tags/roc-ocl-2.10.0" />
-
    <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="6c03f8b58fafd9dd693eaac826749a5cfad515f8" />
    <project name="clang-ocl" />
-    <!-- HCC needs to be recursively synced to get it submodules -->
-    <project name="hcc" sync-s="true" revision="refs/tags/roc-hcc-2.10.0" />
-    <project name="HCC-Example-Application" remote="rocm-devtools" revision="ffd6533305e79eed667badd3c4cdb7879a1281b8" />
-    <project name="HIP" remote="rocm-devtools" revision="refs/tags/roc-2.10.0" />
+    <!--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" revision="refs/tags/roc-ocl-2.10.0" />
-    <project name="lld" path="llvm_amd-common/lld" revision="refs/tags/roc-ocl-2.10.0" />
-    <project name="clang" path="llvm_amd-common/clang" />
-    <project name="ROCm-Device-Libs" revision="refs/tags/roc-ocl-2.10.0" />
-    <project name="atmi" revision="refs/tags/rocm_2.10.0" />
+    <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" />
    <project name="rocm_bandwidth_test" />
    <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/rocm-2.10" />
-    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.10" />
-    <project name="rocFFT" remote="rocm-swplat" revision="refs/tags/rocm-2.10" />
-    <project name="rocRAND" remote="rocm-swplat" revision="refs/tags/2.10.0" />
-    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.10" />
-    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.10" />
-    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/rocm-2.10" />
-    <project name="MIOpenGEMM" remote="rocm-swplat" revision="6275a879995b58a6e0b8cca7b1ad8421a5e02ade" />
-    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.10.0" />
-    <project name="rocm_smi_lib" />
-    <project name="rccl" remote="rocm-swplat" revision="refs/tags/2.10.0" />
-    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.5" />
-    <project name="rocThrust" remote="rocm-swplat" revision="refs/tags/2.10.0" />
-    <project name="hipCUB" remote="rocm-swplat" revision="refs/tags/2.10.0" />
-    <project name="rocPRIM" remote="rocm-swplat" revision="refs/tags/2.10.0" />
-
+    <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="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" />
+    <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/forweb.PNG
+++ b/forweb.PNG
--- a/staticlinkinglib.PNG
+++ b/staticlinkinglib.PNG
--- a/version_history.md
+++ b/version_history.md
@@ -1,442 +0,0 @@
-## ROCm Version History
-This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)
-
-### Current ROCm Version: 2.10
- [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 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
Roopa Malavally	75c0d668d9	Update README.md	2020-09-02 06:13:56 -07:00
Roopa Malavally	49bd50c858	Update README.md	2020-09-02 06:13:23 -07:00
Roopa Malavally	a54214d05d	Update README.md	2020-09-02 06:12:10 -07:00
Roopa Malavally	2524166765	Update README.md	2020-08-23 18:33:23 -07:00
Roopa Malavally	abc65687d4	Add files via upload	2020-08-23 09:44:46 -07:00
Roopa Malavally	0fddb14b8f	Delete AMD_ROCm_Release_Notes_v3.7.pdf	2020-08-23 09:44:30 -07:00
Roopa Malavally	3909efb389	Update README.md	2020-08-23 09:34:53 -07:00
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
Roopa Malavally	f213e32845	Add files via upload	2020-07-08 21:38:39 -07:00
Roopa Malavally	efad9684ee	Add files via upload	2020-07-08 19:49:40 -07:00
Roopa Malavally	6d99ada0ae	Delete ROCm_SMI_Manual.pdf	2020-07-08 15:20:09 -07:00
Roopa Malavally	fb77891fae	Add files via upload	2020-07-08 15:19:37 -07:00
Roopa Malavally	b0b858d81c	Add files via upload	2020-07-07 20:54:44 -07:00
Roopa Malavally	7c97c6b102	Update README.md	2020-06-29 09:23:56 -07:00
Roopa Malavally	dee1c4a0e7	Update README.md	2020-06-26 13:18:01 -07:00
Roopa Malavally	29060c09ec	Add files via upload	2020-06-20 08:29:10 -07:00
Roopa Malavally	d7eb52fced	Delete AMD_ROCm_Release_Notes_v3.5.1.pdf	2020-06-20 08:28:53 -07:00
Roopa Malavally	13e2fb06b9	Add files via upload	2020-06-19 17:02:39 -07:00
Roopa Malavally	e3017948a9	Delete AMD_ROCm_Release_Notes_v3.5.1.pdf	2020-06-19 17:02:21 -07:00
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
Roopa Malavally	11968356fc	Update README.md	2020-06-19 16:38:29 -07:00
Roopa Malavally	c2d8aa3426	Add files via upload	2020-06-19 16:36:16 -07:00
Roopa Malavally	cc37d13828	Update README.md	2020-06-03 12:43:24 -07:00
Lad, Aditya	63ed31781d	rocSOLVER tag update	2020-06-03 14:04:42 -04:00
Roopa Malavally	5502ce3c41	Update README.md	2020-06-02 20:43:44 -07:00
Lad, Aditya	2adb254db3	ROCm 3.5 Manifest File	2020-06-02 20:14:25 -04:00
Roopa Malavally	640b0e0cec	Update README.md	2020-06-02 16:42:16 -07:00
Roopa Malavally	4b67bbc512	Update README.md	2020-06-02 16:41:33 -07:00
Roopa Malavally	4eddbb0f2f	AMD ROCm Release Notes v3.5.0 (#1123 ) * Delete AMD_ROCm_Release_Notes_v3.3.pdf * Delete MultiIns.png * Delete singleinstance.png * Delete onnx.png * Update README.md * Add files via upload * 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 * 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 * Update README.md * Update README.md * Update README.md * Update README.md * Delete amd-dbgapi.pdf * 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 * Update README.md * Delete ROCm_SMI_Manual.pdf * Delete amd-dbgapi.pdf * Delete gdb.pdf * Add files via upload * Update README.md * Delete RPP.png * 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 * 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 HipClang2.1.png * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md	2020-06-02 15:44:35 -07:00
Roopa Malavally	6dd212c1ff	Add files via upload	2020-05-30 21:17:00 -07:00
Roopa Malavally	1b49b1d598	Update README.md	2020-04-02 12:00:08 -07:00
Roopa Malavally	d85d330f17	Update README.md	2020-04-01 16:16:14 -07:00
Roopa Malavally	c3efbe0263	Update version_history.md	2020-04-01 16:00:18 -07:00
Roopa Malavally	e72d9d16f2	Update README.md	2020-04-01 15:58:27 -07:00
Aditya Lad	d6ebde1c2b	Merge pull request #1066 from adilad/master ROCm release 3.3 Manifest File	2020-04-01 15:49:26 -07:00
Lad, Aditya	c270440e1d	ROCm release 3.3 Manifest File	2020-04-01 18:41:52 -04:00
Aditya Lad	87212e992e	Merge pull request #1065 from Rmalavally/master v3.3 Release Updates	2020-04-01 15:35:21 -07:00
Roopa Malavally	b9f3ba6cda	Update README.md	2020-04-01 15:30:23 -07:00
Roopa Malavally	befa37295e	Update README.md	2020-04-01 15:21:17 -07:00
Roopa Malavally	6e957870bd	Add files via upload	2020-04-01 13:17:22 -07:00
Roopa Malavally	6906210c51	Delete Versionchange1.png	2020-04-01 13:14:17 -07:00
Roopa Malavally	88a2c6a311	Update version_history.md	2020-04-01 13:13:12 -07:00
Roopa Malavally	10366c7bae	Update README.md	2020-04-01 13:11:04 -07:00
Roopa Malavally	613020c029	Update README.md	2020-04-01 13:08:37 -07:00
Roopa Malavally	bbf233a8a0	Update README.md	2020-04-01 12:57:25 -07:00
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Roopa Malavally	45bc0b6e8f	Update README.md	2020-04-01 12:29:24 -07:00
Roopa Malavally	46fe870c8d	Update README.md	2020-04-01 12:22:14 -07:00
Roopa Malavally	2d3d61969f	Update README.md	2020-04-01 12:18:50 -07:00
Roopa Malavally	6d9651756c	Update README.md	2020-04-01 11:04:08 -07:00
Roopa Malavally	435eee1860	Update README.md	2020-04-01 11:03:31 -07:00
Roopa Malavally	ca7d03f4a6	Update README.md	2020-04-01 10:58:44 -07:00
Roopa Malavally	aa48cad227	Update README.md	2020-04-01 10:53:25 -07:00
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Roopa Malavally	d693175b09	Add files via upload	2020-04-01 10:21:24 -07:00
Roopa Malavally	293b24d915	Update README.md	2020-03-31 19:22:33 -07:00
Roopa Malavally	950874f674	Delete AMD_ROCm_Release_Notes_v3.1.pdf	2020-03-31 19:21:56 -07:00
Roopa Malavally	34586f3bd4	Delete AMD_ROCm_Release_Notes_v3.1.1.pdf	2020-03-31 19:21:36 -07:00
Roopa Malavally	39790b6ea4	Delete AMD_ROCm_QuickStart_Installation_Guide_v3.1.pdf	2020-03-31 19:21:18 -07:00
Roopa Malavally	b6bf0086d0	Update README.md	2020-03-17 21:19:58 -07:00
Roopa Malavally	c81f5e59cf	Update README.md	2020-03-17 05:54:26 -07:00
Roopa Malavally	353f901378	Update README.md	2020-03-17 05:53:41 -07:00
zhang2amd	21e76e3fa5	Update HIP tag for 3.1.1 point release.	2020-03-13 10:25:29 -07:00
Roopa Malavally	488b62219f	Add files via upload	2020-03-12 20:27:43 -07:00
Roopa Malavally	1a5a5efbd3	Update README.md	2020-03-03 15:30:31 -08:00
Lad, Aditya	f69a8c19e5	revision update	2020-02-28 13:21:56 -05:00
Aditya Lad	6eb53b9931	ROCm Release 3.1 Documentation (#1027 ) * release 3.1 documentation * Delete AMD_ROCm_Release_Notes_v3.0.pdf * Delete AMD_ROCm_Release_Notes_v3.1.pdf * Add files via upload	2020-02-27 16:30:46 -08:00
Aditya Lad	4bfa3780e3	Merge pull request #1024 from adilad/master ROCm 3.1 Release manifest	2020-02-27 15:50:27 -08:00
Lad, Aditya	c159d23e3c	ROCm 3.1 Release manifest	2020-02-27 17:27:41 -05:00
Roopa Malavally	fb1709623b	Update README.md	2020-02-19 11:50:38 -08:00
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Roopa Malavally	657ed79dee	Update README.md	2020-02-19 11:45:28 -08:00
Paul Fultz II	da8a01deb0	Use correct revision for AMDMIGraphX	2020-02-15 13:50:37 -06:00
Roopa Malavally	fbdfeecd14	Update README.md	2020-02-10 18:03:58 -08:00
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Roopa Malavally	b00a2885ea	Update README.md	2020-02-10 13:32:26 -08:00
Rmalavally	0e53cfa829	Update for ROCm v3.0 (#975 )	2019-12-19 16:35:29 -08:00
Aditya Lad	fef7342549	Update default.xml for ROCm3.0 (#974 ) * ROCm Release 3.0 * rocm_smi_lib changes * Adding AOMP projects Co-authored-by: adilad7 <46574164+adilad7@users.noreply.github.com>	2019-12-19 16:29:44 -08:00
zhang2amd	f6565e7f3f	Merge pull request #956 from chauthai/Update-README-Ubuntu-Install Update README.md	2019-12-19 09:30:15 -08:00
Rmalavally	c56404399b	Merge branch 'master' into master	2019-12-18 17:00:40 -08:00
Rmalavally	664311f4fe	Add files via upload	2019-12-18 16:32:05 -08:00
Rmalavally	f45bfbfeed	Update README.md	2019-12-18 16:28:37 -08:00
Konstantin Zhuravlyov	f00e4fdf7b	Merge pull request #971 from RadeonOpenCompute/kzhuravl-monorepo-switch Switch LLVM and OCL components to monorepo	2019-12-18 13:44:16 -05:00
Konstantin Zhuravlyov	ae5f7d7be9	LLVM monorepo switch #2 - Remove nested compiler projects under ROCm-OpenCL-Runtime	2019-12-17 23:54:01 -05:00
Konstantin Zhuravlyov	720760ad63	LLVM monorepo switch #1 - Switch AMDGPU LLVM compiler to monorepo - Update LLVM and ROCm-Device-Libs to roc-ocl-3.0.0	2019-12-17 23:49:51 -05:00
zhang2amd	b8a0a90287	Merge pull request #921 from RadeonOpenCompute/zhang2amd-patch-package Update package structure.	2019-12-05 16:32:02 -08:00
Chau Thai	73ed1122fa	Fixed typos	2019-12-03 18:50:37 +01:00
Chau Thai	d50a208edd	Fixed sudo sudo issue	2019-12-02 23:18:59 +01:00
Chau Thai	720c7cddc7	Update README.md Fixed wget command to add `rocm.gpg.key` to sources.list.	2019-12-01 19:11:09 +01:00
Rmalavally	586a57823a	Update README.md	2019-11-28 11:54:52 -08:00
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Rmalavally	72ddeef85b	Update README.md	2019-11-27 10:51:59 -08:00
Aakash Sudhanwa	6cafd3b8fd	Updated release notes for ROCm 2.10	2019-11-27 10:47:55 -08:00
Rmalavally	111f8e8409	Add files via upload	2019-11-27 10:40:24 -08:00
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Rmalavally	b952ebd666	Update README.md	2019-11-25 19:57:46 -08:00
Rmalavally	db6dbdcc7a	Merge branch 'master' into master	2019-11-25 17:34:45 -08:00
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Rmalavally	6a4ae7c703	Merge branch 'master' into master	2019-11-25 17:20:51 -08:00
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Rmalavally	93858f653b	Links	2019-11-25 17:12:28 -08:00
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Rmalavally	754ebcec86	Updated version for components and libraries	2019-11-25 15:45:09 -08:00
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Cole Nelson	3ec6301df1	Create release notes for rocm 2.10 and archive folder. Signed-off-by: Cole Nelson <cole.nelson@amd.com>	2019-11-15 11:38:33 -08:00
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