VEBoC: variation and error-aware design for billions of devices on a chip

  • Authors:
  • Shoaib Akram;Scott Cromar;Gregory Lucas;Alexandros Papakonstantinou;Deming Chen

  • Affiliations:
  • University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign

  • Venue:
  • Proceedings of the 2008 Asia and South Pacific Design Automation Conference
  • Year:
  • 2008

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Abstract

Billions of devices on a chip is around the corner and the trend of deep submicron (DSM) technology scaling will continue for at least another decade. Meanwhile, designers also face severe on-chip parameter variations, soft/hard errors, and high leakage power. How to use these billions of devices to deliver power-efficient, high-performance, and yet error-resilient computation is a challenging task. In this paper, we attempt to demonstrate some of our perspectives to address these critical issues. We elaborate on variation-aware synthesis, holistic error modeling, reliable multicore, and synthesis for application-specific multicore. We also present some of our insights for future reliable computing.