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Understanding Portability of Automotive Workload: A Case Study with the Points-to-Image Kernel in SYCL on Heterogeneous Compu...

by Zheming Jin, Jeffrey S Vetter
Publication Type
Conference Paper
Book Title
GPGPU '23: Proceedings of the 15th Workshop on General Purpose Processing Using GPU
Publication Date
Page Numbers
14 to 20
Publisher Location
New York, United States of America
Conference Name
Workshop on General Purpose Processing Using GPU (GPGPU)
Conference Location
Montreal, Canada
Conference Sponsor
IEEE/ACM
Conference Date
-

SYCL is a promising programming model for heterogenous computing across vendors’ devices. In this paper, we study whether SYCL can be applied to an automotive workload and its portability on heterogeneous computing platforms. We explain the automotive benchmark, describe our implementations and optimizations of the benchmark, and evaluate the performance of the benchmarks using SYCL and other programming models on heterogeneous computing devices. The study also allows us to have a better understanding of portability of the benchmark across these platforms.