Energy efficient deeply fused dot-product multiplication architecture

Shmuel Wimer, Israel Koren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Dot-product is frequently used in many signal processing applications, and for this reason digital signal processors (DSPs) commonly include hardware units to speed up its calculation. In this paper, we propose a new circuit architecture for dot-product hardware units. This design fuses all the steps of the dot-product computation into a unit called a fused dot-product multiplier (FDPM), resulting in enhancements in performance, power and area vs. designs such as multiply-accumulate (MAC) units. We designed and implemented the FDPM in 28-nanometer and 65-nanometer technologies. Comparison of the fused unit to an implementation by an EDA design compiler showed that our architecture consumed 38% less power and 30% less area for the same clock cycle. Comparison to a previously proposed FDPM architecture showed a per-bit 1.9X - 4.7X energy reduction. Analysis of the dependence of the per-bit power consumption on vector length and word-width indicated a good match between theory and practice.

Original languageEnglish
Title of host publication2016 IEEE 27th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-122
Number of pages8
ISBN (Electronic)9781509015030
DOIs
StatePublished - 28 Nov 2016
Event27th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2016 - London, United Kingdom
Duration: 6 Jul 20168 Jul 2016

Publication series

NameProceedings of the International Conference on Application-Specific Systems, Architectures and Processors
Volume2016-November
ISSN (Print)1063-6862

Conference

Conference27th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2016
Country/TerritoryUnited Kingdom
CityLondon
Period6/07/168/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Computer arithmetic
  • dot-product
  • multipliers

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