AMD has released a new version of the Radeon Open Compute Linux stack for AMD graphics cards

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.

ROCm Components

The following components for the ROCm platform are released and available for the v2.10 release:
• Drivers
• Tools
• Libraries
• Source Code

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

Supported Operating Systems

The ROCm v3.0.x platform is designed to support the following operating systems:

• SLES 15 SP1
• Ubuntu 16.04.6(Kernel 4.15) and 18.04.3(Kernel 5.0)
• CentOS 7.6 (Using devtoolset-7 runtime support)
• RHEL 7.6 (Using devtoolset-7 runtime support)

For details about deploying the ROCm v3.0.x on these operating systems, see the Deploying ROCm section later in the document.

Whats New in This Release

Support for CentOS RHEL v7.7
Support is extended for CentOS/RHEL v7.7 in the ROCm v3.0 release. For more information about the CentOS/RHEL v7.7 release, see:
CentOS/RHEL

Initial distribution of AOMP 0.7-5 in ROCm v3.0
The code base for this release of AOMP is the Clang/LLVM 9.0 sources as of October 8th, 2019. The LLVM-project branch used to build this release is AOMP-191008. It is now locked. With this release, an artifact tarball of the entire source tree is created. This tree includes a Makefile in the root directory used to build AOMP from the release tarball. You can use Spack to build AOMP from this source tarball or build manually without Spack.

For more information about AOMP 0.7-5, see: AOMP

Fast Fourier Transform Updates
The Fast Fourier Transform (FFT) is an efficient algorithm for computing the Discrete Fourier Transform. Fast Fourier transforms are used in signal processing, image processing, and many other areas. The following real FFT performance change is made in the ROCm v3.0 release:

• Implement efficient real/complex 2D transforms for even lengths.

Other improvements:
• More 2D test coverage sizes.
• Fix buffer allocation error for large 1D transforms.
• C++ compatibility improvements.

MemCopy Enhancement for rocProf
In the v3.0 release, the rocProf tool is enhanced with an additional capability to dump asynchronous GPU memcopy information into a .csv file. You can use the '-hsa-trace' option to create the results_mcopy.csv file. Future enhancements will include column labels.

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