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  • https://doi.org/10.1145/3145617.3158214Copy DOI Icon

Evaluating GPGPU Memory Performance Through the C-AMAT Model

  • Nov 12, 2017
  • Ning Zhang +3 more
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Abstract

General Purpose Graphics Processing Units (GPGPU) have become a popular platform to accelerate high performance applications. Although they provide exceptional computing power, GPGPU impose significant pressure on the off-chip memory system. Evaluating, understanding, and improving GPGPU data access delay has become an important research topic in high-performance computing. In this study, we utilize the newly proposed GPGPU/C-AMAT (Concurrent Average Memory Access Time) model to quantitatively evaluate GPGPU memory performance. Specifically, we extend the current C-AMAT model to include a GPGPU-specific modeling component and then provide its evaluation results.

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