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Maximize Parallelism Minimize Overhead for Nested Loops via Loop Striping

Authors :
Zili Shao
Chun Xue
Edwin H.-M. Sha
Source :
The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology. 47:153-167
Publication Year :
2007
Publisher :
Springer Science and Business Media LLC, 2007.

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.

Details

ISSN :
1573109X and 09225773
Volume :
47
Database :
OpenAIRE
Journal :
The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Accession number :
edsair.doi...........6782539b32ed77245b5e2b3eefe7bc91
Full Text :
https://doi.org/10.1007/s11265-006-0034-5