Page Placement Strategies for GPUs within Heterogeneous Memory Systems

  title={Page Placement Strategies for GPUs within Heterogeneous Memory Systems},
  author={Neha Agarwal and David W. Nellans and Mark Stephenson and Mike O'Connor and Stephen W. Keckler},
Systems from smartphones to supercomputers are increasingly heterogeneous, being composed of both CPUs and GPUs. To maximize cost and energy efficiency, these systems will increasingly use globally-addressable heterogeneous memory systems, making choices about memory page placement critical to performance. In this work we show that current page placement policies are not sufficient to maximize GPU performance in these heterogeneous memory systems. We propose two new page placement policies that… CONTINUE READING
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