DARTS.4.2.3.pdf
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Document
Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms (Artifact)
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Part of:
Issue:
Special Issue of the 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)
Volume: DARTS, Volume 4 (ECOOP 2018)
Conference: Euromicro Conference on Real-Time Systems (ECRTS)
Journal: Dagstuhl Artifacts Series (DARTS) - License:
Creative Commons Attribution 3.0 Germany license
- Publication Date: 2018-06-20
Cite AsGet 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
https://doi.org/10.4230/DARTS.4.2.3
Artifact
DARTS-4-2-3-artifact-b125fd21860f3dc8dd7b9798d16f1b3d.tgz
(Filesize: 64 kB)
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.
Keywords
- GPU
- memory bandwidth
- resource contention
- CPU throttling
- fair scheduler
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