Voltage assignment with guaranteed probability satisfying timing constraint for real-time multiproceesor DSP

Meikang Qiu, Zhiping Jia, Chun Xue, Zili Shao, Edwin H.M. Sha

Research output: Journal article publicationJournal articleAcademic researchpeer-review

63 Citations (Scopus)

Abstract

Dynamic Voltage Scaling (DVS) is one of the techniques used to obtain energy-saving in real-time DSP systems. In many DSP systems, some tasks contain conditional instructions that have different execution times for different inputs. Due to the uncertainties in execution time of these tasks, this paper models each varied execution time as a probabilistic random variable and solves the Voltage Assignment with Probability (VAP) Problem. VAP problem involves finding a voltage level to be used for each node of an date flow graph (DFG) in uniprocessor and multiprocessor DSP systems. This paper proposes two optimal algorithms, one for uniprocessor and one for multiprocessor DSP systems, to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm for multiprocessor achieves an average improvement of 56.1% on total energy-saving with 0.80 probability satisfying timing constraint.
Original languageEnglish
Pages (from-to)55-73
Number of pages19
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Volume46
Issue number1
DOIs
Publication statusPublished - 1 Jan 2007

Keywords

  • Assignment
  • DSP
  • DVS
  • Probability
  • Real-time

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

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