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Shared memory heterogeneous computation on PCIe-supported platforms

  • Author(s): Shukla, SK
  • Yang, Y
  • Bhuyan, LN
  • Brisk, P
  • et al.

Published Web Location

http://www1.cs.ucr.edu/faculty/philip/papers/conferences/fpl13/fpl13-svamp.pdf
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Abstract

Domain-disparity between CPU and Hardware Accelerators(HA) leads to CPU under-utilization and inter-domain data copy overheads. By exposing HA memory to OS and host MMU, these overheads can be eliminated. In this paper, we present a shared virtual memory real system design for PCIe-based HAs to enable parallel heterogeneous execution in CPU and HAs without driver overheads. We extend Linux with a custom memory manager and scheduler to manage HA memory and application-cores respectively. Our FPGA-based multi-application logic design supports simultaneous execution of multiple heterogeneous applications. We show the advantages of heterogeneous execution and analyze how our design reduces OS overhead. © 2013 IEEE.

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