Performance Portability Evaluation of Blocked Stencil Computations on GPUs-Reference-Cited by-同舟云学术

Performance Portability Evaluation of Blocked Stencil Computations on GPUs

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Antepara Oscar¹^ORCID,Williams Samuel¹^ORCID,Johansen Hans¹^ORCID,Zhao Tuowen²^ORCID,Hirsch Samantha²^ORCID,Goyal Priya²^ORCID,Hall Mary²^ORCID

Affiliation:

1. Lawrence Berkeley National Laboratory, United States of America

2. University of Utah, United States of America

Funder

Exascale Computing Project, a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration

National Energy Research Scientific Computing Center, which is supported by the Office of Science of the U.S. Department of Energy

Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624177

Reference66 articles.

1. ALCF. 2023. Aurora. https://www.alcf.anl.gov/aurora. ALCF. 2023. Aurora. https://www.alcf.anl.gov/aurora.

2. AMD. 2022. AMD CDNA 2 ARCHITECTURE. https://www.amd.com/system/files/documents/amd-cdna2-white-paper.pdf. AMD. 2022. AMD CDNA 2 ARCHITECTURE. https://www.amd.com/system/files/documents/amd-cdna2-white-paper.pdf.

3. AMD. 2023. AMD rocProf Documentation. https://docs.amd.com/projects/rocprofiler/en/docs-5.1.0/rocprof.html. AMD. 2023. AMD rocProf Documentation. https://docs.amd.com/projects/rocprofiler/en/docs-5.1.0/rocprof.html.

4. Compiler-Directed Transformation for Higher-Order Stencils

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