NDLI: Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads

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Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads

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Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads

Content Provider	ACM Digital Library
Author	Kim, Nam Sung Schulte, Michael J. Sathish, Vijay
Abstract	State-of-the-art graphic processing units (GPUs) provide very high memory bandwidth, but the performance of many general-purpose GPU (GPGPU) workloads is still bounded by memory bandwidth. Although compression techniques have been adopted by commercial GPUs, they are only used for compressing texture and color data, not data for GPGPU workloads. Furthermore, the microarchitectural details of GPU compression are proprietary and its performance benefits have not been previously published. In this paper, we first investigate required microarchitectural changes to support lossless compression techniques for data transferred between the GPU and its off-chip memory to provide higher effective bandwidth. Second, by exploiting some characteristics of floating-point numbers in many GPGPU workloads, we propose to apply lossless compression to floating-point numbers after truncating their least-significant bits (i.e., lossy compression). This can reduce the bandwidth usage even further with very little impact on overall computational accuracy. Finally, we demonstrate that a GPU with our lossless and lossy compression techniques can improve the performance of memory-bound GPGPU workloads by 26% and 41% on average.
Starting Page	325
Ending Page	334
Page Count	10
File Format	PDF
ISBN	9781450311823
DOI	10.1145/2370816.2370864
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-09-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Graphics processing units Lossless and lossy data compression
Content Type	Text
Resource Type	Article

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