Maximize parallelism minimize overhead for nested loops via loop striping

Chun Xue, Zili Shao, Edwin H.M. Sha

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Majority of scientific and Digital Signal Processing (DSP) applications are recursive or iterative. Transformation techniques are generally applied to increase parallelism for these nested loops. Most of the existing loop transformation techniques either can not achieve maximum parallelism, or can achieve maximum parallelism but with complicated loop bounds and loop indexes calculations. This paper proposes a new technique, loop striping, that can maximize parallelism while maintaining the original row-wise execution sequence with minimum overhead. Loop striping groups iterations into stripes, where all iterations in a stripe are independent and can be executed in parallel. Theorems and efficient algorithms are proposed for loop striping transformations. The experimental results show that loop striping always achieves better iteration period than software pipelining and loop unfolding, improving average iteration period by 50 and 54% respectively.
Original languageEnglish
Pages (from-to)153-167
Number of pages15
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Volume47
Issue number2
DOIs
Publication statusPublished - 1 May 2007

Keywords

  • Loop transformation
  • Optimization
  • Parallelism

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

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