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Portability of Fortran's `do concurrent' on GPUs
DescriptionThere is a continuing interest in using standard language constructs for accelerated computing in order to avoid (sometimes vendor-specific) external APIs. For Fortran codes, the {\tt do concurrent} (DC) loop has been successfully demonstrated on the NVIDIA platform. However, support for DC on other platforms has taken longer to implement. Recently, Intel has added DC GPU offload support to its compiler, as has HPE for AMD GPUs. In this paper, we explore the current portability of using DC across GPU vendors using the in-production solar surface flux evolution code HipFT. We discuss implementation and compilation details, including when/where using directive APIs for data movement is needed/desired compared to using a unified memory system. The performance achieved on both data center and consumer platforms is shown.
Event Type
Workshop
TimeMonday, 18 November 20242:39pm - 2:46pm EST
LocationB301
Tags
Accelerators
Heterogeneous Computing
Parallel Programming Methods, Models, Languages and Environments
Registration Categories
W