Low overhead and context sensitive profiling of GPU-accelerated applications-Reference-Cited by-同舟云学术

Low overhead and context sensitive profiling of GPU-accelerated applications

Published:2022-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th ACM International Conference on Supercomputing
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Author:

Zhou Keren¹,Anderson Jonathon¹,Meng Xiaozhu¹,Mellor-Crummey John¹

Affiliation:

1. Rice University

Funder

Argonne National Laboratory

Lawrence Livermore National Laboratory

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524059.3532388

Reference48 articles.

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2. Nyx: A MASSIVELY PARALLEL AMR CODE FOR COMPUTATIONAL COSMOLOGY

3. AMD Corporation . 2017. ROC-profiler. https://github.com/ROCm-Developer-Tools/rocprofiler. [Accessed May 9, 2022 ]. AMD Corporation. 2017. ROC-profiler. https://github.com/ROCm-Developer-Tools/rocprofiler. [Accessed May 9, 2022].

4. AMD Corporation . 2017. ROC-tracer. https://github.com/ROCm-Developer-Tools/roctracer [Accessed May 9, 2022 ]. AMD Corporation. 2017. ROC-tracer. https://github.com/ROCm-Developer-Tools/roctracer [Accessed May 9, 2022].

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