Accelerating vector operations by utilizing reconfigurable coprocessor architectures

Henrik Svensson, Thomas Lenart, Viktor Öwall

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

To enhance performance of digital signal processing tasks while keeping the flexibility of programmable solutions is a clear motivation for coprocessors implemented as reconfigurable hardware blocks. This paper investigates the applicability of such coprocessors targeting digital signal processing multi-media applications, initially in the field of speech and audio. A tightly coupled coprocessor architecture with reconfigurable datapath and a local memory system is presented. The coprocessor interacts with the main processor through asynchronous FIFOs. Three computational models that provide support for functionality of different granularities to be accelerated are investigated. A speedup in the range of 2 to 46 compared to processor execution is achieved for vector operations and larger kernels such as autocorrelation, block filtering and Fast Fourier Transform. © 2007 IEEE.
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages3972-3975
Publication statusPublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 2007 May 272007 May 30

Publication series

Name
ISSN (Print)2158-1525
ISSN (Electronic)0271-4310

Conference

Conference2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Country/TerritoryUnited States
CityNew Orleans, LA
Period2007/05/272007/05/30

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • Coprocessors
  • Reconfigurable coprocessors
  • Programmable solutions

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