License: Creative Commons Attribution 3.0 Germany license (CC BY 3.0 DE)
When quoting this document, please refer to the following
DOI: 10.4230/DARTS.4.2.3
URN: urn:nbn:de:0030-drops-89719
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8971/
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Ali, Waqar ; Yun, Heechul

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

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DARTS-4-2-3.pdf (0.3 MB)

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.

BibTeX - Entry

@Article{ali_et_al:DARTS:2018:8971,
  author =	{Waqar Ali and Heechul Yun},
  title =	{{Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms (Artifact)}},
  pages =	{3:1--3:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2018},
  volume =	{4},
  number =	{2},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8971},
  URN =		{urn:nbn:de:0030-drops-89719},
  doi =		{10.4230/DARTS.4.2.3},
  annote =	{Keywords: GPU, memory bandwidth, resource contention, CPU throttling, fair scheduler}
}

Keywords: GPU, memory bandwidth, resource contention, CPU throttling, fair scheduler
Collection: DARTS, Volume 4, Issue 2
Related Scholarly Article: http://dx.doi.org/10.4230/LIPIcs.ECRTS.2018.19
Issue Date: 2018
Date of publication: 20.06.2018

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