Optimum buffer size for dynamic voltage processors

All Manzak, Chaitali Chakrabarti

Research output: Contribution to journal › Article

1 Citation (Scopus)

Abstract

This paper addresses the problem of calculating optimum buffer size for a dynamic voltage scaling processor. We determine the minimum required buffer size giving minimum energy solution for periodic (single, multiple) or aperiodic tasks. The calculations are based on information about data size (maximum, minimum), execution time (best case, worst case), and deadlines.

Original languageEnglish (US)
Pages (from-to)711-721
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3254
StatePublished - 2004

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Buffer
Buffers
Voltage
Electric potential
Dynamic Voltage Scaling
Deadline
Execution Time
Energy
Voltage scaling

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Optimum buffer size for dynamic voltage processors. / Manzak, All; Chakrabarti, Chaitali.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3254, 2004, p. 711-721.

Research output: Contribution to journal › Article

Manzak, A & Chakrabarti, C 2004, 'Optimum buffer size for dynamic voltage processors', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3254, pp. 711-721.
Manzak A, Chakrabarti C. Optimum buffer size for dynamic voltage processors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004;3254:711-721.
Manzak, All ; Chakrabarti, Chaitali. / Optimum buffer size for dynamic voltage processors. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 ; Vol. 3254. pp. 711-721.
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