Optimization of memory usage requirement for a class of loops implementing multi-dimensional integrals

7Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Multi-dimensional integrals of products of several arrays arise in certain scientific computations. In the context of these integral calculations, this paper addresses a memory usage minimization problem. Based on a framework that models the relationship between loop fusion and memory usage, we propose an algorithm for finding a loop fusion configuration that minimizes memory usage.A practical example shows the performance improvement obtained by our algorithm on an electronic structure computation.

Cite

CITATION STYLE

APA

Lam, C. C., Cociorva, D., Baumgartner, G., & Sadayappan, P. (2000). Optimization of memory usage requirement for a class of loops implementing multi-dimensional integrals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1863, pp. 350–364). Springer Verlag. https://doi.org/10.1007/3-540-44905-1_22

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free