Toward approximate computing for coarse-grained reconfigurable architectures

Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a methodology for designing an approximate coarse- g rained reconfigurable architecture (X-CGRA), and its use for accelerating both error-resilient and error-sensitive applications. The output quality of the X-CGRA is manageable at the run-time for better performance and power/energy consumption tradeoffs. Results show up to 1.9× speedup and 2.3× lower energy consumption at the cost of 9.7% accuracy loss for the studied applications.

Original languageEnglish (US)
Article number8487001
Pages (from-to)63-72
Number of pages10
JournalIEEE Micro
Volume38
Issue number6
DOIs
StatePublished - Nov 1 2018

Keywords

  • Coarse-Grained Reconfigurable Architecture
  • Configurable Accuracy Computing
  • Energy-Efficiency

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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