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 v2.10.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 v2.10.x on these operating systems, see the Deploying ROCm section later in the document.

Whats New in This Release

rocBLAS Support for Complex GEMM
The rocBLAS library is a gpu-accelerated implementation of the standard Basic Linear Algebra Subroutines (BLAS). rocBLAS is designed to enable you to develop algorithms, including high performance computing, image analysis, and machine learning.

In the AMD ROCm release v2.10, support is extended to the General Matrix Multiply (GEMM) routine for multiple small matrices processed simultaneously for rocBLAS in AMD Radeon Instinct MI50. Both single and double precision, CGEMM and ZGEMM, are now supported in rocBLAS.

Support for SLES 15 SP1
In the AMD ROCm v2.10 release, support is added for SUSE Linux Enterprise Server (SLES) 15 SP1. SLES is a modular operating system for both multimodal and traditional IT.

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*

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.