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Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms (Artifact)

Authors Waqar Ali, Heechul Yun

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DARTS.4.2.3.pdf
  • Filesize: 267 kB
  • 2 pages

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Keywords
  • GPU
  • memory bandwidth
  • resource contention
  • CPU throttling
  • fair scheduler

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Abstract

This artifact is based on BWLOCK++, a software framework to protect the performance of GPU kernels from co-scheduled memory intensive CPU applications in platforms containing integrated GPUs. The artifact is designed to support the claims of the companion paper and contains instructions on how to build and execute BWLOCK++ on a target hardware platform.

Cite As Get BibTex

Waqar Ali and Heechul Yun. Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms (Artifact). In Special Issue of the 30th Euromicro Conference on Real-Time Systems (ECRTS 2018). Dagstuhl Artifacts Series (DARTS), Volume 4, Issue 2, pp. 3:1-3:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/DARTS.4.2.3

Author Details

Waqar Ali
Heechul Yun

Artifact

  MD5 Sum: b125fd21860f3dc8dd7b9798d16f1b3d (Get MD5 Sum)

Related Article

  • Waqar Ali and Heechul Yun, "Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms", in 30th Euromicro Conference on Real-Time Systems (ECRTS 2018), LIPIcs, Vol. 106, pp. 19:1-19:22, 2018. https://doi.org/10.4230/LIPIcs.ECRTS.2018.19
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