Performance/cost trade-off evaluation for the DCT implementation on the dynamically reconfigurable processor

Vu Manh Tuan, Yohei Hasegawa, Naohiro Katsura, Hideharu Amano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The Dynamically Reconfigurable Processor (DRP) developed by NEC Electronics is a coarse grain reconfigurable processor with the capability of changing its hardware functionality within a clock cycle. While implementing an application on the DRP, designers face the task of selecting how to efficiently use resources in order to achieve particular goals such as to improve the performance, to reduce the power dissipation, or to minimize the resource use. To analyze the impact of trade-off selections on these aspects, the Discrete Cosine Transform (DCT) algorithm has been implemented exploiting various design policies. The evaluation result shows that the performance, cost and consuming power are influenced by the implementation method. For example, the execution time can reduce 17% in case of using the distributed memory against the register files; or up to 40% whether the embedded multipliers are used.

Original languageEnglish
Title of host publicationReconfigurable Computing
Subtitle of host publicationArchitectures and Applications - Second International Workshop, ARC 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages115-121
Number of pages7
ISBN (Print)9783540367086
DOIs
Publication statusPublished - 2006 Jan 1
Event2nd International Workshop on Applied Reconfigurable Computing, ARC 2006 - Delft, United States
Duration: 2006 Mar 12006 Mar 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3985 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Applied Reconfigurable Computing, ARC 2006
CountryUnited States
CityDelft
Period06/3/106/3/3

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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