Enabling multithreading on CGRAs

Aviral Shrivastava, Jared Pager, Reiley Jeyapaul, Mahdi Hamzeh, Sarma Vrudhula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Coarse-Grained Reconfigurable Arrays or CGRAs are programmable fabrics that promise both high performance and high power efficiency. Traditionally, CGRAs were used to accelerate extremely-embedded systems, and were typically manually programmed. However, as CGRAs are conceived to be used as more general-purpose accelerators, there is a need to develop software tools and capabilities. Much work has been done on developing compiler techniques for CGRAs, making programming them easier; however, there is no support for multithreading. As an accelerator to a multithreaded processor, CGRAs now are restricted to accelerating only one kernel of one thread running on the processor at any point in time. Supporting multithreading is difficult, since the start times and end times of threads are dynamic in nature, while CGRAs are statically scheduled. In this paper, we propose a strategy to do multithreading on a CGRA. The chief capability that we develop is a scheme to quickly transform an existing application mapping using the entire CGRA to one using only a fraction of it. Our experimental results on kernels from multimedia applications demonstrate that multithreading support can improve the total throughput of a CGRA by over 30%, 75%, and 150% on 4×4, 6×6, and 8×8 CGRAs, respectively, compared to single-threaded methods.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 International Conference on Parallel Processing, ICPP 2011
Pages255-264
Number of pages10
DOIs
StatePublished - Nov 7 2011
Event40th International Conference on Parallel Processing, ICPP 2011 - Taipei City, Taiwan, Province of China
Duration: Sep 13 2011Sep 16 2011

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918

Other

Other40th International Conference on Parallel Processing, ICPP 2011
CountryTaiwan, Province of China
CityTaipei City
Period9/13/119/16/11

ASJC Scopus subject areas

  • Software
  • Mathematics(all)
  • Hardware and Architecture

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    Shrivastava, A., Pager, J., Jeyapaul, R., Hamzeh, M., & Vrudhula, S. (2011). Enabling multithreading on CGRAs. In Proceedings - 2011 International Conference on Parallel Processing, ICPP 2011 (pp. 255-264). [6047194] (Proceedings of the International Conference on Parallel Processing). https://doi.org/10.1109/ICPP.2011.77