Abstract

Stochastic computation, as presented in this paper, exploits the statistical nature of application-level performance metrics, and matches it to the statistical attributes of the underlying device and circuit fabrics. Nanoscale circuit fabrics are viewed as noisy communication channels/networks. Communications-inspired design techniques based on estimation and detection theory are proposed. Stochastic computation advocates an explicit characterization and exploitation of error statistics at the architectural and system levels. This paper traces the roots of stochastic computing from the Von Neumann era into its current form. Design and CAD challenges are described.

Original languageEnglish (US)
Title of host publicationProceedings of the 47th Design Automation Conference, DAC '10
Pages859-864
Number of pages6
DOIs
StatePublished - Sep 7 2010
Event47th Design Automation Conference, DAC '10 - Anaheim, CA, United States
Duration: Jun 13 2010Jun 18 2010

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X

Other

Other47th Design Automation Conference, DAC '10
CountryUnited States
CityAnaheim, CA
Period6/13/106/18/10

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Keywords

  • Algorithmic Noise- Tolerance
  • Energy-Efficiency
  • Error-Resiliency
  • Reliability
  • Soft Processing
  • Stochastic Computation

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Cite this

Shanbhag, N. R., Abdallah, R. A., Kumar, R., & Jones, D. L. (2010). Stochastic computation. In Proceedings of the 47th Design Automation Conference, DAC '10 (pp. 859-864). (Proceedings - Design Automation Conference). https://doi.org/10.1145/1837274.1837491