Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures

  • Authors:
    Juan L. Aragon (University of Murcia), Tae Jun Ham (Princeton), Margaret Martonosi (Princeton)
    Publication ID:
    P090966
    Publication Type:
    Paper
    Received Date:
    22-May-2017
    Last Edit Date:
    23-May-2017
    Research:
    2384.001 (Harvard University)
    2384.007 (University of Michigan)

Abstract

In today’s computers, heterogeneous processing is used to meet performance targets at manageable power. In adopting increased compute specialization, however, the relative amount of time spent on communication increases. System and software optimizations for communication often come at the costs of increased complexity and reduced portability. The Decoupled Supply-Compute (DeSC) approach offers a way to attack communication latency bottlenecks automatically, while maintaining good portability and low complexity. Our work expands prior Decoupled Access Execute techniques with hardware/software specialization. For a range of workloads, DeSC offers roughly 2x speedup and additional specialized compression optimizations reduce traffic between decoupled units by 40%.

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