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Low power parallel multiplier design for DSP applications through coefficient optimization

  • Sangjin Hong
  • , Suhwan Kim
  • , Marios C. Papaefthymiou
  • , Wayne E. Stark
  • University of Michigan, Ann Arbor

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

52 Scopus citations

Abstract

Digital Signal Processing (DSP) often involves multiplications with a set of coefficients. This paper presents a novel multiplier design methodology for performing these coefficient multiplications with very low power dissipation. Given bounds on the throughput and the quantization error, our approach scales the original coefficients to enable the partitioning of each multiplication into a collection of smaller multiplications with shorter critical paths. Significant energy savings are achieved by performing these multiplications in parallel with a scaled supply voltage. Dissipation is further reduced by disabling the multiplier rows that do not affect the multiplication's outcome. We have used our methodology to design a low-power parallel multiplier for the Fast Fourier Transform. Simulation results show that our approach can result in significant power savings over conventional multipliers.

Original languageEnglish
Title of host publicationProceedings - 12th Annual IEEE International ASIC/SOC Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-290
Number of pages5
ISBN (Electronic)0780356322, 9780780356320
DOIs
StatePublished - 1999
Event12th Annual IEEE International ASIC/SOC Conference - Washington, United States
Duration: Sep 15 1999Sep 18 1999

Publication series

NameProceedings - 12th Annual IEEE International ASIC/SOC Conference

Conference

Conference12th Annual IEEE International ASIC/SOC Conference
Country/TerritoryUnited States
CityWashington
Period09/15/9909/18/99

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