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        <datestamp>2024-03-06T11:05:02Z</datestamp>
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          <dc:title>Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms (Artifact)</dc:title>
          <dc:creator>Ali, Waqar</dc:creator>
          <dc:creator>Yun, Heechul</dc:creator>
          <dc:subject>GPU</dc:subject>
          <dc:subject>memory bandwidth</dc:subject>
          <dc:subject>resource contention</dc:subject>
          <dc:subject>CPU throttling</dc:subject>
          <dc:subject>fair scheduler</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Waqar Ali and Heechul Yun</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of DARTS, Volume 4, Issue 2, Special Issue of the 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)</dc:relation>
          <dc:type>Article</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DARTS.4.2.3</dc:identifier>
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