Architectural diversity has turned accelerator performance portability into a compiler/runtime problem: portable source code is useful only if the surrounding ecosystem can also coordinate devices, backends, and data movement. This paper evaluates three SYCL ecosystems—Intel oneAPI DPC++, AdaptiveCpp, and UniSYCL—acros...
Nabayan Chaudhury, Norihisa Fujita, Beau Johnston et al.· Proceedings of the Internati...· 0 citations
CUDA is the dominant GPU programming model in HPC and industrial accelerator software, and a large body of production code is written directly in it. Deploying that code on non-NVIDIA accelerators has traditionally required source translation, backend-specific rewrites, or a full rewrite in a new programming model. Thi...
Beau Johnston, Chris Kitching, Matthew Ireland et al.· Workshop Proceedings of the...· 0 citations
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