By Topic

Localizing non-affine array references

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mitchell, N. ; California Univ., San Diego, La Jolla, CA, USA ; Carter, L. ; Ferrante, J.

Existing techniques can enhance the locality of arrays indexed by affine functions of induction variables. This paper presents a technique to localize non-affine array references, such as the indirect memory references common in sparse-matrix computation. Our optimization combines elements of tiling, data-centric tiling, data remapping and inspector-executor parallelization. We describe our technique, bucket tiling, which includes the tasks of permutation generation, data remapping, and loop regeneration. We show that profitability cannot generally be determined at compile-time, but requires an extension to run-time. We demonstrate our technique on three codes: integer sort, conjugate gradient, and a kernel used in simulating a beating heart. We observe speedups of 1.91 on integer sort, 1.57 on conjugate gradient, and 2.69 on the heart kernel

Published in:

Parallel Architectures and Compilation Techniques, 1999. Proceedings. 1999 International Conference on

Date of Conference:

1999