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Automated code acceleration targeting heterogeneous openCL devices

Published: 10 February 2018 Publication History

Abstract

Accelerators can offer exceptional performance advantages. However, programmers need to spend considerable efforts on acceleration, without knowing how sustainable the employed programming models, languages and tools are. To tackle this challenge, we propose and demonstrate a new runtime system called HTrOP that is able to automatically generate and execute OpenCL code from sequential CPU code. HTrOP transforms suitable data-parallel loops into independent OpenCL-typical work-items and handles concrete calls to these devices through a mix of library components and application-specific OpenCL host code. Computational hotspots are identified and can be offloaded to different resources (CPU, GPGPU and Xeon Phi). We demonstrate the potential of HTrOP on a broad set of applications and are able to improve the performance by 4.3X on average.

References

[1]
Marvin Damschen, Heinrich Riebler, Gavin Vaz, and Christian Plessl. 2015. Transparent offloading of computational hotspots from binary code to Xeon Phi. In Proc. Design, Automation and Test in Europe Conf. (DATE). EDA Consortium, 1078--1083.
[2]
Tobias Grosser and Torsten Hoefler. 2016. Polly-ACC Transparent compilation to heterogeneous hardware. In Proceedings of the 2016 International Conference on Supercomputing. ACM, 1.
[3]
Simon Moll. 2011. Decompilation of LLVM IR. Master's thesis (2011).

Cited By

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  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019
  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019

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Published In

cover image ACM Conferences
PPoPP '18: Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
February 2018
442 pages
ISBN:9781450349826
DOI:10.1145/3178487
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 53, Issue 1
    PPoPP '18
    January 2018
    426 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/3200691
    Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 February 2018

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Author Tags

  1. LLVM
  2. multi-accelerator
  3. openCL
  4. runtime system
  5. transparent acceleration

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  • Poster

Funding Sources

  • FP7 Information and Communication Technologies
  • German Research Foundation

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PPoPP '18

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Overall Acceptance Rate 230 of 1,014 submissions, 23%

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Cited By

View all
  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019
  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019

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