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A novel VLSI divide and conquer array architecture for Vector-Scalar multiplication

  • SUNY Buffalo
  • Panavision Imaging, LLC

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

Abstract

A novel VLSI array architecture for vector-scalar multiplication is introduced. It is based on a parameterized divide and conquer algorithm that uses optimal partitioning and redundancy removal for simultaneous computation of partial sums. Two variations of the proposed Parameterized Vector-Scalar Multiplier Architecture (PVSMA), namely PVSMA-A and PVSMA-AT, are implemented and compared to the parallel implementation with carry-save array multipliers. PVSMA-A is optimized for area (A), and is shown to achieve significant area (A) savings at the cost of increased operational delay (T). PVSMA-AT is optimized for area-time product (AT), and is shown to achieve significant area-time product (AT) savings and a smaller operational delay (T) at the cost of smaller area (A) savings.

Original languageEnglish
Title of host publicationProceedings 2007 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT
Pages41-44
Number of pages4
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT - Austin, TX, United States
Duration: May 30 2007Jun 1 2007

Publication series

NameProceedings 2007 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT

Conference

Conference2007 IEEE International Conference on Integrated Circuit Design and Technology, ICICDT
Country/TerritoryUnited States
CityAustin, TX
Period05/30/0706/1/07

Keywords

  • Array architecture
  • Parameterized divide and conquer algorithm
  • Vector-scalar multiplication
  • Very large scale integration

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