A configuration data multicasting method for coarse-grained reconfigurable architectures

Takuya Kojima, Hideharu Amano

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

1 Citation (Scopus)

Abstract

This paper proposes a novel configuration data compression technique for coarse-grained reconfigurable architectures (CGRAs). The proposed technique is based on a multicast configuration technique called RoMultiC, which reduces the configuration time by multicasting the same data to multiple PEs(Processing Elements) with two bit-maps. Scheduling algorithms for an optimizing the order of multicasting have been proposed. In general, configuration data for CGRAs can be divided into some fields like machine code formats. The proposed scheme confines a part of fields for multicasting so that the possibility of multicasting more PEs can be increased. This paper analyzes algorithms to find a configuration pattern which maximizes the number of multicasted PEs. We implemented the proposed scheme to CMA (Cool Mega Array), a straight forward CGRA as a case study. Experimental results show that the proposed method achieves 40.0% smaller configuration for an image processing application at maximum. Furthermore, it achieves 35.6% reduction of the power consumption for the configuration with a negligible area overhead.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on Field-Programmable Logic and Applications, FPL 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-242
Number of pages4
ISBN (Electronic)9781538685174
DOIs
Publication statusPublished - 2018 Nov 9
Event28th International Conference on Field-Programmable Logic and Applications, FPL 2018 - Dublin, Ireland
Duration: 2018 Aug 262018 Aug 30

Publication series

NameProceedings - 2018 International Conference on Field-Programmable Logic and Applications, FPL 2018

Conference

Conference28th International Conference on Field-Programmable Logic and Applications, FPL 2018
CountryIreland
CityDublin
Period18/8/2618/8/30

Keywords

  • CGRA
  • configuration data reduction
  • Espresso
  • ILP
  • reconfigurable architecture

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software

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  • Cite this

    Kojima, T., & Amano, H. (2018). A configuration data multicasting method for coarse-grained reconfigurable architectures. In Proceedings - 2018 International Conference on Field-Programmable Logic and Applications, FPL 2018 (pp. 239-242). [8533501] (Proceedings - 2018 International Conference on Field-Programmable Logic and Applications, FPL 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FPL.2018.00048