Enabling RAJA on Intel GPUs with SYCL-Reference-Cited by-同舟云学术

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Enabling RAJA on Intel GPUs with SYCL

Published:2024-04-08 Issue: Volume: Page:1-10
ISSN:
Container-title:Proceedings of the 12th International Workshop on OpenCL and SYCL
language:
Short-container-title:

Author:

Homerding Brian¹^ORCID,Vargas Arturo²^ORCID,Scogland Tom²^ORCID,Chen Robert²^ORCID,Davis Mike²^ORCID,Hornung Rich²^ORCID

Affiliation:

1. Argonne National Laboratory, United States

2. Lawrence Livermore National Laboratory, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3648115.3648131

Reference18 articles.

1. [n. d.]. CAMP Concepts And Meta-Programming library. https://github.com/LLNL/camp. Accessed: 2024-01-12.

2. [n. d.]. CHAI Documentation. https://chai.readthedocs.io/en/latest/. Accessed: 2024-01-12.

3. [n. d.]. RAJA Portability Suite: Enabling Performance Portable CPU and GPU HPC Applications. https://computing.llnl.gov/projects/raja-managing-application-portability-next-generation-platforms. Accessed: 2024-01-12.

4. [n. d.]. SYCL Proposal: Platform Default Contexts. https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/supported/sycl_ext_oneapi_default_context.asciidoc. Accessed: 2024-02-21.

5. [n. d.]. THAPI (Tracing Heterogeneous APIs). https://github.com/argonne-lcf/THAPI. Accessed: 2024-01-12.

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