ROCm 4.0 Release

Update README.md
AMD ROCm Release Notes v4.0 (#1342 )
2026-01-09 22:58:17 -05:00 · 2020-12-18 12:53:33 -08:00 · 2020-12-18 12:52:04 -08:00 · 2020-12-18 12:46:40 -08:00 · 2020-12-18 12:32:43 -08:00 · 2020-12-18 08:19:51 -08:00
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--- a/AMD_ROCm_Release_Notes_v4.0.pdf
+++ b/AMD_ROCm_Release_Notes_v4.0.pdf
--- a/HIP-API_Guide_v4.0.pdf
+++ b/HIP-API_Guide_v4.0.pdf
--- a/HIP_Programming_Guide_v4.0.pdf
+++ b/HIP_Programming_Guide_v4.0.pdf
--- a/README.md
+++ b/README.md
@@ -1,447 +1,546 @@
-## Are You Ready to ROCK?
-The ROCm Platform brings a rich foundation to advanced computing by seamlessly
- integrating the CPU and GPU with the goal of solving real-world problems.
-
-#### Supported CPUs
-
-Starting with ROCm 1.8, we have relaxed the requirements for PCIe Atomics on Vega 10 (GFX9) GPUs, and we have similarly opened up more options for number of PCIe lanes. With this release, these GFX9 GPUs can support CPUs without PCIe Atomics and, for example, run on PCIe  Gen2 x1 lanes. To enable this option, please set the environment variable `HSA_ENABLE_SDMA=0`.
-
-Currently, our GFX8 GPUs (Fiji & Polaris family) still need to use PCIe Gen 3 and PCIe Atomics, but are looking at relaxing this in a future release, once we have fully tested firmware.
-
-Current CPUs which support PCIe Gen3 + PCIe Atomics are: 
-  * AMD Ryzen CPUs;
-  * AMD EPYC CPUs;  
-  * Intel Xeon E7 V3  or newer CPUs;
-  * Intel Xeon E5 v3 or newer CPUs; 
-  * Intel Xeon E3 v3 or newer CPUs;
-  * Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer).
-
-For Fiji and Polaris GPUs, the ROCm platform leverages PCIe Atomics (Fetch and Add, Compare and Swap, 
-Unconditional Swap, AtomicsOp Completion).
-PCIe Atomics are only supported on PCIe Gen3 enabled CPUs and PCIe Gen3 switches like
-Broadcom PLX. When you install your GPUs, make sure you install them in a fully
-PCIe Gen3 x16 or 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 Gen2 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. 
- 
-Experimental support for our Hawaii (GFX7) GPUs (Radeon R9 290, R9 390, FirePro W9100, S9150, S9170)
-does not require or take advantage of PCIe Atomics. However, we still recommend that you use a CPU
-from the list provided above for compatibility purposes.
-
-#### Not supported or very limited support under ROCm 
-###### Limited support 
-
-* ROCm 1.8 and Vega10 should support PCIe Gen2 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 CPU 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 Gen2 based, and thus are only supported with GPUs that do not require PCIe Gen 3 atomics (i.e. Vega 10). However, we have done no testing on this configuration and would need comunity support due to limited access to this type of equipment 
-
-###### Not supported 
-
-* We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe Gen 3 with PCIe atomics.
-  * As such, 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 PCIe Gen2 based.
-* AMD Carrizo based APUs have limited support due to OEM & ODM's choices when it comes to some key configuration parameters. In particular, we have observed that Carrizo laptops, AIOs, and desktop systems showed inconsistencies in exposing and enabling the System BIOS parameters required by the ROCm stack. Before purchasing a Carrizo 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 - please inquire with the OEM about the latter.
- * AMD Merlin/Falcon Embedded System is not currently supported by the public repo.
- * AMD Raven Ridge APU are currently not supported
-
-### New features to 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 1.8.2
-
-#### 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
- * 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
-
-### The latest ROCm platform - ROCm 1.8.3
-
-The latest tested version of the drivers, tools, libraries and source code for
-the ROCm platform have been released and are available under the roc-1.8.x or rocm-1.8.x tag
-of the following GitHub repositories:
-
-* [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-1.8.x)
-* [ROCR-Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-1.8.x)
-* [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-1.8.x)
-* [ROC-smi](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-1.8.x)
-* [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-1.8.x)
-* [compiler-runtime](https://github.com/RadeonOpenCompute/compiler-rt/tree/roc-1.8.x)
-* [HIP](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/tree/roc-1.8.x)
-* [HIP-Examples](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples/tree/roc-1.8.x)
-* [atmi](https://github.com/RadeonOpenCompute/atmi/tree/0.3.7)
-
-Additionally, the following mirror repositories that support the HCC compiler
-are also available on GitHub, and frozen for the rocm-1.8.3 release:
-
-* [llvm](https://github.com/RadeonOpenCompute/llvm/tree/roc-1.8.x)
-* [ldd](https://github.com/RadeonOpenCompute/lld/tree/roc-1.8.x)
-* [hcc-clang-upgrade](https://github.com/RadeonOpenCompute/hcc-clang-upgrade/tree/roc-1.8.x)
-* [ROCm-Device-Libs](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-1.8.x)
-
-#### Supported Operating Systems - New operating systems available
-
-The ROCm 1.8.3 platform has been tested on the following operating systems:
- * Ubuntu 16.04
- * CentOS 7.4 &. 7.5 (Using devetoolset-7 runtime support)
- * RHEL 7.4. &. 7.5  (Using devetoolset-7 runtime support)
-
-### Installing from AMD ROCm repositories
-
-AMD is hosting both Debian and RPM repositories for the ROCm 1.8.3 packages at this time.
-
-The packages in the Debian repository have been signed to ensure package integrity.
-
-#### Installing from a Debian repository
-
-##### First make sure your system is up to date 
-
-```shell
-sudo apt update
-sudo apt dist-upgrade
-sudo apt install libnuma-dev
-sudo reboot
-```
-
-##### Add the ROCm apt repository
-
-For Debian based systems, like Ubuntu, configure the Debian ROCm repository as
-follows:
-
-```shell
-wget -qO - http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | sudo apt-key add -
-echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main' | sudo tee /etc/apt/sources.list.d/rocm.list
-```
-The gpg key might change, so it may need to be updated when installing a new release. 
-If the key signature verification is failed while update, please re-add the key from 
-ROCm apt repository. The current rocm.gpg.key is not avialable in a standard key ring 
-distribution, but has the following sha1sum hash:
-
-f7f8147431c75e505c58a6f3a3548510869357a6  rocm.gpg.key
-
-##### Install
-
-Next, update the apt repository list and install the rocm package:
-
->**Warning**: Before proceeding, make sure to completely
->[uninstall any previous ROCm package](https://github.com/RadeonOpenCompute/ROCm#removing-pre-release-packages):
-
-```shell
-sudo apt update
-sudo apt install rocm-dkms
-```
-
-###### Next set your permissions 
-
-With move to upstreaming the KFD driver and the support of DKMS,  for all Console aka headless user, you will need to add all  your users to the  'video" group by setting the Unix permissions
-
-Configure 
-Ensure that your user account is a member of the "video" group prior to using the ROCm driver. You can find which groups you are a member of with the following command:
-
-```shell
-groups
-```
-
-To add yourself to the video group you will need the sudo password and can use the following command:
-
-```shell
-sudo usermod -a -G video $LOGNAME 
-``` 
-
-You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
-```shell
-echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
-echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
-```
-
-Once complete, reboot your system.
-
-Upon Reboot run the following commands to verify that the ROCm installation waas successful. If you see your GPUs listed by both of these commands, you should be ready to go!
-```shell
-/opt/rocm/bin/rocminfo 
-/opt/rocm/opencl/bin/x86_64/clinfo 
-``` 
-
-Note that, to make running ROCm programs easier, you may wish to put the ROCm libraries in your LD_LIBRARY_PATH environment variable and the ROCm binaries in your PATH.
-```shell
-echo 'export LD_LIBRARY_PATH=/opt/rocm/opencl/lib/x86_64:/opt/rocm/hsa/lib:$LD_LIBRARY_PATH' | sudo tee -a /etc/profile.d/rocm.sh
-echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
-```
-
-If you have an [Install Issue](https://rocm.github.io/install_issues.html) please read this FAQ .
-
-###### Vega10 users who want to run ROCm on a system that does not support PCIe atomics must set HSA_ENABLE_SDMA=0
-
-Currently, if you want to run ROCm on a Vega10 GPU (GFX9) on a system without PCIe atomics, you must turn off SDMA functionality.
-
-```shell
-export HSA_ENABLE_SDMA=0
-```
-
-###### Performing an OpenCL-only Installation of ROCm
-
-Some users may want to install a subset of the full ROCm installation. In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications. To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
-
-```shell
-sudo apt-get install dkms rock-dkms rocm-opencl
-```
-
-###### Upon restart, to test your OpenCL instance 
-
-Build and run Hello World OCL app.
-
-HelloWorld sample:
-
-```shell
- wget https://raw.githubusercontent.com/bgaster/opencl-book-samples/master/src/Chapter_2/HelloWorld/HelloWorld.cpp
- wget https://raw.githubusercontent.com/bgaster/opencl-book-samples/master/src/Chapter_2/HelloWorld/HelloWorld.cl
-```
-
- Build it using the default ROCm OpenCL include and library locations:
-
-```shell
-g++ -I /opt/rocm/opencl/include/ ./HelloWorld.cpp -o HelloWorld -L/opt/rocm/opencl/lib/x86_64 -lOpenCL
-```
-
- Run it:
-
- ```shell
- ./HelloWorld
-```
-
-##### How to un-install from Ubuntu 16.04
-
-To un-install the entire rocm development package execute:
-
-```shell
-sudo apt autoremove rocm-dkms
-```
-
-##### Installing development packages for cross compilation
-
-It is often useful to develop and test on different systems. In this scenario,
-you may prefer to avoid installing the ROCm Kernel to your development system.
-
-In this case, install the development subset of packages:
-
-```shell
-sudo apt update
-sudo apt install rocm-dev
-```
-
->**Note:** To execute ROCm enabled apps you will require a system with the full
->ROCm driver stack installed
-
-##### Removing pre-release packages
-
-If you installed any of the ROCm pre-release packages from github, they will
-need to be manually un-installed:
-
-```shell
-sudo apt purge hsakmt-roct
-sudo apt purge hsakmt-roct-dev
-sudo apt purge compute-firmware
-sudo apt purge $(dpkg -l | grep 'kfd\|rocm' | grep linux | grep -v libc | awk '{print $2}')
-```
-
-If possible, we would recommend starting with a fresh OS install.
-
-### CentOS/RHEL 7 (both 7.4 and 7.5) Support
-
-Support for CentOS/RHEL 7 has been added in ROCm 1.8, but requires a special 
-runtime environment provided by the RHEL Software Collections and additional
-dkms support packages to properly install in run.
-
-#### Preparing RHEL 7 for installation
-
-RHEL is a subscription based operating system, and must enable several external
-repositories to enable installation of the devtoolset-7 environment and the DKMS
-support files. These steps are not required for CentOS.
-
-First, the subscription for RHEL must be enabled and attached to a pool id. Please
-see Obtaining an RHEL image and license page for instructions on registering your
-system with the RHEL subscription server and attaching to a pool id.
-
-
-Second, enable the following repositories:
-
-```shell
-sudo subscription-manager repos --enable rhel-server-rhscl-7-rpms
-sudo subscription-manager repos --enable rhel-7-server-optional-rpms
-sudo subscription-manager repos --enable rhel-7-server-extras-rpms
-```
-
-Third, enable additional repositories by downloading and installing the epel-release-latest-7 repository RPM:
-
-```shell
-sudo rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
-```
-
-#### Install and setup Devtoolset-7
-
-To setup the Devtoolset-7 environment, follow the instructions on this page:
-
-https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
-
-Note that devtoolset-7 is a Software Collections package, and is not supported by AMD.
-
-#### Prepare CentOS/RHEL 7.4 or 7.5 for DKMS Install
-
-Installing kernel drivers on CentOS/RHEL 7.4/7.5 requires dkms tool being installed:
-
-```shell
-sudo yum install -y epel-release
-sudo yum install -y dkms kernel-headers-`uname -r`
-```
-
-
-At this point they system can install ROCm using the DKMS drivers.
-
-Installing ROCm on the system
-At this point ROCm can be installed on the target system. Create a /etc/yum.repos.d/rocm.repo file with the following contents:
-
-```shell
-[ROCm]
-name=ROCm
-baseurl=http://repo.radeon.com/rocm/yum/rpm
-enabled=1
-gpgcheck=0
-```
-
-The repo's URL should point to the location of the repositories repodata database. Install ROCm components using these commands:
-
-```shell
-sudo yum install rocm-dkms
-```
-
-The rock-dkms component should be installed and the /dev/kfd device should be available on reboot.
-
-Ensure that your user account is a member of the "video" or "wheel" group prior to using the ROCm driver.
-You can find which groups you are a member of with the following command:
-
-```shell
-groups
-```
-
-To add yourself to the video (or wheel) group you will need the sudo password and can use the
-following command:
-
-```shell
-sudo usermod -a -G video $LOGNAME 
-```
-
-Current release supports up to CentOS/RHEL 7.4 and 7.5. Users should update to the latest version of the OS:
-
-```shell
-sudo yum update
-```
-###### Vega10 users who want to run ROCm on a system that does not support PCIe atomics must set HSA_ENABLE_SDMA=0
-
-Currently, if you want to run ROCm on a Vega10 GPU (GFX9) on a system without PCIe atomics, you must turn off SDMA functionality.
-
-```shell
-export HSA_ENABLE_SDMA=0
-```
-
-#### Compiling applications using hcc, hip, etc.
-
-To compile applications or samples, please use gcc-7.2 provided by the devtoolset-7 environment.
-To do this, compile all applications after running this command: 
-
-```shell
-scl enable devtoolset-7 bash
-```
-#### How to un-install ROCm from CentOS/RHEL 7.4
-
-To un-install the entire rocm development package execute:
-
-```shell
-sudo yum autoremove rocm-dkms
-```
-
-#### Known Issues / Workarounds
-
-##### If you Plan to Run with X11 - we are seeing X freezes under load
-
-In ROCm 1.8.3, the kernel parameter 'noretry' has been set to 1 to improve overall system performance. However it has been proven to bring instability to graphics driver shipped with Ubuntu. This is an ongoing issue and we are looking into it.
-
-Before that, please try apply this change by changing noretry bit to 0.
-
-```shell
-echo 0 | sudo tee /sys/module/amdkfd/parameters/noretry
-```
-
-Files under /sys won't be preserved after reboot so you'll need to do it every time.
-
-One way to keep noretry=0 is to change /etc/modprobe.d/amdkfd.conf and make it be:
-
-options amdkfd noretry=0
-
-Once it's done, run sudo update-initramfs -u. Reboot and verify /sys/module/amdkfd/parameters/noretry stays as 0.
-
-##### If you are you are using hipCaffe Alexnet training on ImageNet - we are seeing sporadic hangs of hipCaffe during training
-
-###### Vega10 users who want to run ROCm on a system that does not support PCIe atomics must set HSA_ENABLE_SDMA=0
-
-Currently, if you want to run ROCm on a Vega10 GPU (GFX9) on a system without PCIe atomics, you must turn off SDMA functionality.
-
-```shell
-export HSA_ENABLE_SDMA=0
-```
-
-#### Closed source components
-
-The ROCm platform relies on a few closed source components to provide legacy
-functionality like HSAIL finalization and debugging/profiling support. These
-components are only available through the ROCm repositories, and will either be
-deprecated or become open source components in the future. These components are
-made available in the following packages:
-
-*  hsa-ext-rocr-dev
-
-### Getting ROCm source code
-
-Modifications can be made to the ROCm 1.8 components by modifying the open
-source code base and rebuilding the components. Source code can be cloned from
-each of the GitHub repositories using git, or users can use the repo command
-and the ROCm 1.8 manifest file to download the entire ROCm 1.8 source code.
-
-#### Installing repo
-
-Google's repo tool allows you to manage multiple git repositories
-simultaneously. You can install it by executing the following commands:
-
-```shell
-curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
-chmod a+x ~/bin/repo
-```
-Note: make sure ~/bin exists and it is part of your PATH
-
-#### Cloning the code
-
-```shell
-mkdir ROCm && cd ROCm
-repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-1.8.3
-repo sync
-```
-These series of commands will pull all of the open source code associated with
-the ROCm 1.8 release. Please ensure that ssh-keys are configured for the
-target machine on GitHub for your GitHub ID.
-
-* OpenCL Runtime and Compiler will be submitted to the Khronos Group, prior to
-  the final release, for conformance testing.
+
+# AMD ROCm™ Release Notes v4.0
+
+This page describes the features, fixed issues, and information about downloading and installing the ROCm software.
+It also covers known issues in this release.
+
+- [Supported Operating Systems and Documentation Updates](#Supported-Operating-Systems-and-Documentation-Updates)
+  * [Supported Operating Systems](#Supported-Operating-Systems)
+  * [ROCm Installation Updates](#ROCm-Installation-Updates)
+  * [AMD ROCm Documentation Updates](#AMD-ROCm-Documentation-Updates)
+   
+- [What\'s New in This Release](#Whats-New-in-This-Release)
+  * [INTRODUCING AMD INSTINCT MI100](#INTRODUCING-AMD-INSTINCT-MI100)
+  * [RAS Enhancements](#RAS-Enhancements)
+  * [Using CMake with AMD ROCm](#Using-CMake-with-AMD-ROCm)
+  * [AMD ROCm and Mesa Multimedia](#AMD-ROCm-and-Mesa-Multimedia)
+  * [ROCm System Management Information](#ROCm-System-Management-Information)
+  * [AMD GPU Debugger Enhancements](#AMD-GPU-Debugger-Enhancements)
+
+    
+- [Known Issues](#Known-Issues)
+
+- [Deprecations](#Deprecations)
+
+  * [Compiler Generated Code Object Version 2 Deprecation ](#Compiler-Generated-Code-Object-Version-2-Deprecation)
+  * [ROCr Runtime Deprecations](#ROCr-Runtime-Deprecations)
+  * [AOMP Deprecation](#AOMP-Deprecation)
+  
+
+- [Deploying ROCm](#Deploying-ROCm)
+ 
+- [Hardware and Software Support](#Hardware-and-Software-Support)
+
+- [Machine Learning and High Performance Computing Software Stack for AMD GPU](#Machine-Learning-and-High-Performance-Computing-Software-Stack-for-AMD-GPU)
+  * [ROCm Binary Package Structure](#ROCm-Binary-Package-Structure)
+  * [ROCm Platform Packages](#ROCm-Platform-Packages)
+  
+
+
+# Supported Operating Systems 
+
+## List of Supported Operating Systems
+
+The AMD ROCm platform is designed to support the following operating systems:
+
+* Ubuntu 20.04.1 (5.4 and 5.6-oem) and 18.04.5 (Kernel 5.4)	
+
+* CentOS 7.8 (3.10.0-1127) & RHEL 7.9 (3.10.0-1160.6.1.el7) (Using devtoolset-7 runtime support)
+
+* CentOS 8.2 (4.18.0-193.el8) and RHEL 8.2 (4.18.0-193.1.1.el8) (devtoolset is not required)
+
+* SLES 15 SP2
+
+ 
+# ROCm Installation Updates
+
+## Fresh Installation of AMD ROCm v4.0 Recommended
+
+A fresh and clean installation of AMD ROCm v4.0 is recommended. An upgrade from previous releases to AMD ROCm v4.0 is not supported.
+
+For more information, refer to the AMD ROCm Installation Guide at:
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+**Note**: AMD ROCm release v3.3 or prior releases are not fully compatible with AMD ROCm v3.5 and higher versions. You must perform a fresh ROCm installation if you want to upgrade from AMD ROCm v3.3 or older to 3.5 or higher versions and vice-versa.
+
+**Note**: *render group* is required only for Ubuntu v20.04. For all other ROCm supported operating systems, continue to use *video group*.
+
+* For ROCm v3.5 and releases thereafter,the *clinfo* path is changed to -  */opt/rocm/opencl/bin/clinfo*.
+
+* For ROCm v3.3 and older releases, the *clinfo* path remains unchanged -  */opt/rocm/opencl/bin/x86_64/clinfo*.
+
+**Note**: After an operating system upgrade, AMD ROCm may upgrade automatically and result in an error. This is because AMD ROCm does not support upgrades currently. You must uninstall and reinstall AMD ROCm after an operating system upgrade.
+
+
+## ROCm MultiVersion Installation Update
+
+With the AMD ROCm v4.0 release, the following ROCm multi-version installation changes apply:
+
+The meta packages rocm-dkms<version> are now deprecated for multi-version ROCm installs. For example, rocm-dkms3.7.0, rocm-dkms3.8.0.
+ 
+* Multi-version installation of ROCm should be performed by installing rocm-dev<version> using   each of the desired ROCm versions. For example, rocm-dev3.7.0, rocm-dev3.8.0, rocm-dev3.9.0.   
+* Version files must be created for each multi-version rocm <= 4.0.0
+
+    * command: echo <version> | sudo tee /opt/rocm-<version>/.info/version
+
+    * example: echo 4.0.0 | sudo tee /opt/rocm-4.0.0/.info/version
+
+* The rock-dkms loadable kernel modules should be installed using a single rock-dkms package. 
+
+* ROCm v3.9 and above will not set any *ldconfig* entries for ROCm libraries for multi-version installation.  Users must set *LD_LIBRARY_PATH* to load the ROCm library version of choice.
+
+
+**NOTE**: The single version installation of the ROCm stack remains the same. The rocm-dkms package can be used for single version installs and is not deprecated at this time.
+
+
+
+# AMD ROCm Documentation Updates
+
+## AMD ROCm Installation Guide 
+
+The AMD ROCm Installation Guide in this release includes:
+
+* Supported Environments
+
+* Installation Instructions for v4.0
+
+* HIP Installation Instructions 
+
+* AMD ROCm and Mesa Multimedia Installation 
+
+* Using CMake with AMD ROCm 
+
+For more information, refer to the ROCm documentation website at:
+
+https://rocmdocs.amd.com/en/latest/
+
+
+## AMD ROCm - HIP Documentation Updates
+
+* HIP Programming Guide v4.0 
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/HIP_Programming_Guide_v4.0.pdf
+
+* HIP API Guide v4.0
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/HIP-API_Guide_v4.0.pdf
+
+* HIP FAQ  
+
+For more information, refer to
+
+https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-FAQ.html#hip-faq
+
+
+## ROCm SMI API Documentation Updates 
+
+* xGMI API
+
+For more information, refer to the ROCm SMI API Guide at,
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_API_Guide_v4.0.pdf
+
+
+## General AMD ROCm Documentation Links
+
+Access the following links for more information:
+
+* For AMD ROCm documentation, see 
+
+  https://rocmdocs.amd.com/en/latest/
+
+* For installation instructions on supped platforms, see
+
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+* For AMD ROCm binary structure, see
+
+  https://rocmdocs.amd.com/en/latest/Installation_Guide/Software-Stack-for-AMD-GPU.html
+  
+
+* For AMD ROCm Release History, see
+
+ https://rocmdocs.amd.com/en/latest/Current_Release_Notes/ROCm-Version-History.html
+
+
+
+# What\'s New in This Release
+
+## INTRODUCING AMD INSTINCT MI100
+
+The AMD Instinct™ MI100 accelerator is the world’s fastest HPC GPU, and a culmination of the AMD CDNA architecture, with all-new Matrix Core Technology, and AMD ROCm™ open ecosystem to deliver new levels of performance, portability, and productivity. AMD CDNA is an all-new GPU architecture from AMD to drive accelerated computing into the era of exascale computing. The new architecture augments scalar and vector processing with new Matrix Core Engines and adds Infinity Fabric™ technology to scale up to larger systems. The open ROCm ecosystem puts customers in control and is a robust, mature platform that is easy to develop for and capable of running the most critical applications. The overall result is that the MI100 is the first GPU to break the 10TFLOP/s FP64 barrier designed as the steppingstone to the next generation of Exascale systems that will deliver pioneering discoveries in machine learning and scientific computing.
+
+
+### Key Features of AMD Instinct™ MI100 
+
+Important features of the AMD Instinct™ MI100 accelerator include:
+
+* Extended matrix core engine with Matrix Fused Multiply-Add (MFMA) for mixed-precision arithmetic and operates on KxN matrices (FP32, FP16, BF16, Int8) 
+
+* Added native support for the bfloat16 data type
+
+* 3 Infinity fabric connections per GPU enable a fully connected group of 4 GPUs in a ‘hive’ 
+
+![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/keyfeatures.PNG)
+
+
+### Matrix Core Engines and GFX908 Considerations
+
+The AMD CDNA architecture builds on GCN’s foundation of scalars and vectors and adds matrices while simultaneously adding support for new numerical formats for machine learning and preserving backward compatibility for any software written for the GCN architecture. These Matrix Core Engines add a new family of wavefront-level instructions, the Matrix Fused MultiplyAdd or MFMA. The MFMA family performs mixed-precision arithmetic and operates on KxN matrices using four different types of input data: 8-bit integers (INT8), 16-bit half-precision FP (FP16), 16-bit brain FP (bf16), and 32-bit single-precision (FP32). All MFMA instructions produce either a 32-bit integer (INT32) or FP32 output, which reduces the likelihood of overflowing during the final accumulation stages of matrix multiplication.
+
+On nodes with gfx908, MFMA instructions are available to substantially speed up matrix operations. This hardware feature is used only in matrix multiplications functions in rocBLAS and supports only three base types f16_r, bf16_r, and f32_r. 
+
+* For half precision (f16_r and bf16_r) GEMM, use the function rocblas_gemm_ex, and set the compute_type parameter to f32_r.
+
+* For single precision (f32_r) GEMM, use the function rocblas_sgemm.
+
+* For single precision complex (f32_c) GEMM, use the function rocblas_cgemm.
+
+
+### References
+* For more information about bfloat16, see 
+
+https://rocblas.readthedocs.io/en/master/usermanual.html
+
+* For more details about AMD Instinct™ MI100 accelerator key features, see 
+
+https://www.amd.com/system/files/documents/instinct-mi100-brochure.pdf
+
+* For more information about the AMD Instinct MI100 accelerator, refer to the following sources:
+
+  - AMD CDNA whitepaper at https://www.amd.com/system/files/documents/amd-cdna-whitepaper.pdf
+  
+  - MI100 datasheet at https://www.amd.com/system/files/documents/instinct-mi100-brochure.pdf
+
+* AMD Instinct MI100/CDNA1 Shader Instruction Set Architecture (Dec. 2020) – This document describes the current environment, organization, and program state of AMD CDNA “Instinct MI100” devices. It details the instruction set and the microcode formats native to this family of processors that are accessible to programmers and compilers.
+
+https://developer.amd.com/wp-content/resources/CDNA1_Shader_ISA_14December2020.pdf
+
+
+## RAS ENHANCEMENTS
+
+RAS (Reliability, Availability, and Accessibility) features provide help with data center GPU management. It is a method provided to users to track and manage data points via options implemented in the ROCm-SMI Command Line Interface (CLI) tool. 
+
+For more information about rocm-smi, see 
+
+https://github.com/RadeonOpenCompute/ROC-smi 
+
+The command options are wrappers of the system calls into the device driver interface as described here:
+
+https://dri.freedesktop.org/docs/drm/gpu/amdgpu.html#amdgpu-ras-support
+
+
+
+## USING CMake with AMD ROCm
+
+Most components in AMD ROCm support CMake 3.5 or higher out-of-the-box and do not require any special Find modules. A Find module is often used downstream to find the files by guessing locations of files with platform-specific hints. Typically, the Find module is required when the upstream is not built with CMake or the package configuration files are not available.
+
+AMD ROCm provides the respective config-file packages, and this enables find_package to be used directly. AMD ROCm does not require any Find module as the config-file packages are shipped with the upstream projects.
+
+For more information, see 
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Using-CMake-with-AMD-ROCm.html
+
+
+## AMD ROCm and Mesa Multimedia
+
+AMD ROCm extends support to Mesa Multimedia. Mesa is an open-source software implementation of OpenGL, Vulkan, and other graphics API specifications. Mesa translates these specifications to vendor-specific graphics hardware drivers.
+
+For detailed installation instructions, refer to
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Mesa-Multimedia-Installation.html
+
+
+## ROCm System Management Information 
+
+The following enhancements are made to ROCm System Management Interface (SMI).
+
+### Support for Printing PCle Information on AMD Instinct™100
+
+AMD ROCm extends support for printing PCle information on AMD Instinct MI100. 
+
+To check the pp_dpm_pcie file, use *"rocm-smi --showclocks"*.
+
+*/opt/rocm-4.0.0-6132/bin/rocm_smi.py  --showclocks*
+
+![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/SMI.PNG)
+
+
+### New API for xGMI 
+
+Rocm_smi_lib now provides an API that exposes xGMI (inter-chip Global Memory Interconnect) throughput from one node to another. 
+
+Refer to the rocm_smi_lib API documentation for more details. 
+
+https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_API_Guide_v4.0.pdf
+
+
+
+
+## AMD GPU Debugger Enhancements
+
+In this release, AMD GPU Debugger has the following enhancements:
+
+* ROCm v4.0 ROCgdb is based on gdb 10.1
+
+* Extended support for AMD Instinct™ MI100 
+
+
+
+
+# Known Issues 
+
+The following are the known issues in this release.
+
+## Upgrade to AMD ROCm v4.0 Not Supported
+
+An upgrade from previous releases to AMD ROCm v4.0 is not supported. A fresh and clean installation of AMD ROCm v4.0 is recommended. 
+
+
+
+# Deprecations
+
+This section describes deprecations and removals in AMD ROCm.
+
+## Compiler Generated Code Object Version 2 Deprecation 
+
+**WARNING**
+
+Compiler-generated code object version 2 is no longer supported and will be removed shortly. AMD ROCm users must plan for the code object version 2 deprecation immediately. 
+
+Support for loading code object version 2 is also being deprecated with no announced removal release.
+
+## ROCr Runtime Deprecations
+
+The following ROCr Runtime enumerations, functions, and structs are deprecated in the AMD ROCm v4.0 release.
+
+### Deprecated ROCr Runtime Functions
+
+* hsa_isa_get_info
+
+* hsa_isa_compatible
+
+* hsa_executable_create
+
+* hsa_executable_get_symbol
+
+* hsa_executable_iterate_symbols
+
+* hsa_code_object_serialize
+
+* hsa_code_object_deserialize
+
+* hsa_code_object_destroy
+
+* hsa_code_object_get_info
+
+* hsa_executable_load_code_object
+
+* hsa_code_object_get_symbol
+
+* hsa_code_object_get_symbol_from_name
+
+* hsa_code_symbol_get_info
+
+* hsa_code_object_iterate_symbols
+
+
+### Deprecated ROCr Runtime Enumerations
+
+* HSA_ISA_INFO_CALL_CONVENTION_COUNT
+
+* HSA_ISA_INFO_CALL_CONVENTION_INFO_WAVEFRONT_SIZE
+
+* HSA_ISA_INFO_CALL_CONVENTION_INFO_WAVEFRONTS_PER_COMPUTE_UNIT
+
+* HSA_EXECUTABLE_SYMBOL_INFO_MODULE_NAME_LENGTH
+
+* HSA_EXECUTABLE_SYMBOL_INFO_MODULE_NAME
+
+* HSA_EXECUTABLE_SYMBOL_INFO_AGENT
+
+* HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_ALLOCATION
+
+* HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_SEGMENT
+
+* HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_ALIGNMENT
+
+* HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_SIZE
+
+* HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_IS_CONST
+
+* HSA_EXECUTABLE_SYMBOL_INFO_KERNEL_CALL_CONVENTION
+
+* HSA_EXECUTABLE_SYMBOL_INFO_INDIRECT_FUNCTION_CALL_CONVENTION
+
+   - hsa_code_object_type_t
+   
+   - hsa_code_object_info_t
+   
+   - hsa_code_symbol_info_t
+
+
+### Deprecated ROCr Runtime Structs
+
+* hsa_code_object_t
+
+* hsa_callback_data_t
+
+* hsa_code_symbol_t
+
+
+
+## AOMP Deprecation
+
+As of AMD ROCm v4.0, AOMP (aomp-amdgpu) is deprecated. OpenMP support has moved to the openmp-extras auxiliary package, which leverages the ROCm compiler on LLVM 12.
+
+For more information, refer to 
+
+https://rocmdocs.amd.com/en/latest/Programming_Guides/openmp_support.html
+
+
+# Deploying ROCm
+
+AMD hosts both Debian and RPM repositories for the ROCm v4.0.0 packages. 
+
+For more information on ROCM installation on all platforms, see
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
+
+
+## Machine Learning and High Performance Computing Software Stack for AMD GPU
+
+For an updated version of the software stack for AMD GPU, see
+
+https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#software-stack-for-amd-gpu
+
+
+
+# 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.
+
+#### Supported GPUs
+Because the ROCm Platform has a focus on particular computational domains, we offer official support for a selection of AMD GPUs that are designed to offer good performance and price in these domains.
+
+**Note:** The integrated GPUs of Ryzen are not officially supported targets for ROCm.
+
+ROCm officially supports AMD GPUs that use following chips:
+
+* GFX9 GPUs
+
+  - "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
+  
+  - "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII, 
+
+* CDNA GPUs
+
+  - MI100 chips such as on the AMD Instinct™ MI100
+
+
+ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
+Some of this software may work with more GPUs than the "officially supported" list above, though AMD does not make any official claims of support for these devices on the ROCm software platform.
+The following list of GPUs are enabled in the ROCm software, though full support is not guaranteed:
+
+  * GFX8 GPUs
+    * "Polaris 11" chips, such as on the AMD Radeon RX 570 and Radeon Pro WX 4100
+    * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
+  * GFX7 GPUs
+    * "Hawaii" chips, such as the AMD Radeon R9 390X and FirePro W9100
+
+As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) with support for PCIe atomics. This requires both CPU and motherboard support. GFX9 GPUs require PCIe 3.0 with support for PCIe atomics by default, but they can operate in most cases without this capability.
+
+The integrated GPUs in AMD APUs are not officially supported targets for ROCm.
+As described [below](#limited-support), "Carrizo", "Bristol Ridge", and "Raven Ridge" APUs are enabled in our upstream drivers and the ROCm OpenCL runtime.
+However, they are not enabled in the HIP runtime, and may not work due to motherboard or OEM hardware limitations.
+As such, they are not yet officially supported targets for ROCm.
+
+For a more detailed list of hardware support, please see [the following documentation](https://en.wikipedia.org/wiki/List_of_AMD_graphics_processing_units).
+
+#### Supported CPUs
+As described above, GFX8 GPUs require PCIe 3.0 with PCIe atomics in order to run ROCm.
+In particular, the CPU and every active PCIe point between the CPU and GPU require support for PCIe 3.0 and PCIe atomics.
+The CPU root must indicate PCIe AtomicOp Completion capabilities and any intermediate switch must indicate PCIe AtomicOp Routing capabilities.
+
+Current CPUs which support PCIe Gen3 + PCIe Atomics are:
+
+  * AMD Ryzen CPUs
+  * The CPUs in AMD Ryzen APUs
+  * AMD Ryzen Threadripper CPUs
+  * AMD EPYC CPUs
+  * Intel Xeon E7 v3 or newer CPUs
+  * Intel Xeon E5 v3 or newer CPUs
+  * Intel Xeon E3 v3 or newer CPUs
+  * Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer)
+  * Some Ivy Bridge-E systems
+
+Beginning with ROCm 1.8, GFX9 GPUs (such as Vega 10) no longer require PCIe atomics.
+We have similarly opened up more options for number of PCIe lanes.
+GFX9 GPUs can now be run on CPUs without PCIe atomics and on older PCIe generations, such as PCIe 2.0.
+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 3.1.0 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.
+
+If you attempt to run ROCm on a system without proper PCIe atomic support, you may see an error in the kernel log (`dmesg`):
+```
+kfd: skipped device 1002:7300, PCI rejects atomics
+```
+
+Experimental support for our Hawaii (GFX7) GPUs (Radeon R9 290, R9 390, FirePro W9100, S9150, S9170)
+does not require or take advantage of PCIe Atomics. However, we still recommend that you use a CPU
+from the list provided above for compatibility purposes.
+
+#### Not supported or limited support under ROCm
+
+##### Limited support
+
+* ROCm 2.9.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
+* Thunderbolt 1, 2, and 3 enabled breakout boxes should now be able to work with ROCm. Thunderbolt 1 and 2 are PCIe 2.0 based, and thus are only supported with GPUs that do not require PCIe 3.1.0 atomics (e.g. Vega 10). However, we have done no testing on this configuration and would need community support due to limited access to this type of equipment.
+* AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HIP or our libraries built on top of these compilers and runtimes.
+  * As of ROCm 2.1, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
+  * In addition, various "Carrizo" and "Bristol Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
+  * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
+* AMD "Raven Ridge" APUs are enabled to run OpenCL, but do not yet support HIP or our libraries built on top of these compilers and runtimes.
+  * As of ROCm 2.1, "Raven Ridge" requires the use of upstream kernel drivers.
+  * In addition, various "Raven Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
+  * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
+
+##### Not supported
+
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.9.x
+* We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe 3.0 with PCIe atomics.
+  * As such, we do not support AMD Carrizo and Kaveri APUs as hosts for such GPUs.
+  * Thunderbolt 1 and 2 enabled GPUs are not supported by GFX8 GPUs on ROCm. Thunderbolt 1 & 2 are based on PCIe 2.0.
+
+#### 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.
+As such, users have the option of either using the ROCK kernel driver that are part of AMD's ROCm repositories or using the upstream driver and only installing ROCm user-level utilities from AMD's ROCm repositories.
+
+These releases of the upstream Linux kernel support the following GPUs in ROCm:
+ * 4.17: Fiji, Polaris 10, Polaris 11
+ * 4.18: Fiji, Polaris 10, Polaris 11, Vega10
+ * 4.20: Fiji, Polaris 10, Polaris 11, Vega10, Vega 7nm
+
+The upstream driver may be useful for running ROCm software on systems that are not compatible with the kernel driver available in AMD's repositories.
+For users that have the option of using either AMD's or the upstreamed driver, there are various tradeoffs to take into consideration:
+
+|   | Using AMD's `rock-dkms` package | Using the upstream kernel driver |
+| ---- | ------------------------------------------------------------| ----- |
+| Pros | More GPU features, and they are enabled earlier | Includes the latest Linux kernel features |
+|      | Tested by AMD on supported distributions | May work on other distributions and with custom kernels |
+|      | 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 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 |
+
+
+
+
--- a/ROCm_SMI_API_Guide_v4.0.pdf
+++ b/ROCm_SMI_API_Guide_v4.0.pdf
--- a/default.xml
+++ b/default.xml
@@ -1,27 +1,73 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <manifest>
-
    <remote name="roc-github"
-            fetch="http://git@github.com/RadeonOpenCompute/" />
-    <remote name="pctools-github"
-            fetch="http://git@github.com/GPUOpen-ProfessionalCompute-Tools/" />
-
-    <default revision="roc-1.8.x"
-             remote="roc-github"
-             sync-j="4" />
-
-    <project path="ROCK-Kernel-Driver" name="ROCK-Kernel-Driver" />
-    <project path="ROCT-Thunk-Interface" name="ROCT-Thunk-Interface" />
-    <project path="ROC-smi" name="ROC-smi" />
-    <project path="ROCR-Runtime" name="ROCR-Runtime" />
-    <project path="hcc" name="hcc" />
-    <project path="compiler-rt" name="compiler-rt" />
-    <project path="HIP" remote="pctools-github" name="HIP" />
-    <project path="HIP-Examples" remote="pctools-github" name="HIP-Examples" />
-    <project path="atmi" name="atmi" revision="master" />
-    <project path="llvm" name="llvm" />
-    <project path="lld" name="lld" />
-    <project path="hcc-clang-upgrade" name="hcc-clang-upgrade" />
-    <project path="ROCm-Device-Libs" name="ROCm-Device-Libs" />
-
+fetch="http://github.com/RadeonOpenCompute/" />
+    <remote name="rocm-devtools"
+fetch="https://github.com/ROCm-Developer-Tools/" />
+    <remote name="rocm-swplat"
+fetch="https://github.com/ROCmSoftwarePlatform/" />
+    <remote name="gpuopen-libs"
+fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
+    <remote name="gpuopen-tools"
+fetch="https://github.com/GPUOpen-Tools/" />
+    <remote name="KhronosGroup"
+fetch="https://github.com/KhronosGroup/" />
+    <default revision="refs/tags/rocm-4.0.0"
+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" />
+    <project name="rocm-cmake" />
+    <project name="rocminfo" />
+    <project name="rocprofiler" remote="rocm-devtools" />
+    <project name="roctracer" remote="rocm-devtools" />
+    <project name="ROCm-OpenCL-Runtime" />
+    <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="6c03f8b58fafd9dd693eaac826749a5cfad515f8" />
+    <project name="clang-ocl" />
+<!--HIP Projects-->
+    <project name="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-project" />
+    <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="half" remote="rocm-swplat" revision="37742ce15b76b44e4b271c1e66d13d2fa7bd003e" />
+    <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="rdc" remote="roc-github" />
+    <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="AMDMIGraphX" remote="rocm-swplat" />
+    <project name="ROCmValidationSuite" remote="rocm-devtools" />
+<!-- Projects for OpenMP-Extras -->
+    <project name="aomp" path="openmp-extras/aomp" remote="rocm-devtools" />
+    <project name="aomp-extras" path="openmp-extras/aomp-extras" remote="rocm-devtools" />
+    <project name="flang" path="openmp-extras/flang" remote="rocm-devtools" />
 </manifest>
--- a/images/CLI1.PNG
+++ b/images/CLI1.PNG
--- a/images/CLI2.PNG
+++ b/images/CLI2.PNG
--- a/images/SMI.PNG
+++ b/images/SMI.PNG
--- a/images/keyfeatures.PNG
+++ b/images/keyfeatures.PNG
--- a/images/latestGPU.PNG
+++ b/images/latestGPU.PNG
--- a/images/rocsolverAPI.PNG
+++ b/images/rocsolverAPI.PNG