Extend SYCL Support to Multivendor GPUs and Accelerators
This talk introduces how cross-architecture Data Parallel C++ (DPC++, a oneAPI implementation of SYCL*) is extended to an AMD* GPU platform. The basic architecture and constituent modules of the AMD GPU computing platforms (ROCM and DPC++) are briefly analyzed. Based on that analysis, learn how the platforms integrate an AMD device-compilation tool chain and DPC++ (SYCL) compilation tool chain. To complete the support of DPC++ for an AMD GPU, identify the mapping from the SYCL runtime to AMD device runtime. Sample programs are provided at the end of the talk.
Speaker
Leping Wang has a bachelor's degree of engineering in automation from Nankai University and a master's degree in computer science and intelligent control from University of Nebraska-Lincoln and Nankai University. He has over 10 years of experience in full stack software development and system architecture design. Leping is an engineer in the High-Performance Computer Research Center of The Institute of Computing Technology at the Chinese Academy of Sciences. His work focuses on cloud computing and unified parallel programming frameworks.
Product and Performance Information
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