Improving cache locality by a combination of loop and data transformations

Mahmut Kandemir, J. Ramanujam, Alok Choudhary

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

Exploiting locality of reference is key to realizing high levels of performance on modern processors. This paper describes a compiler algorithm for optimizing cache locality in scientific codes on uniprocessor and multiprocessor machines. A distinctive characteristic of our algorithm is that it considers loop and data layout transformations in a unified framework. Our approach is very effective at reducing cache misses and can optimize some nests for which optimization techniques based on loop transformations alone are not successful. An important special case is one in which data layouts of some arrays are fixed and cannot be changed. We show how our algorithm can accommodate this case and demonstrate how it can be used to optimize multiple loop nests. Experiments on several benchmarks show that the techniques presented in this paper result in substantial improvement in cache performance.

Original languageEnglish (US)
Pages (from-to)159-167
Number of pages9
JournalIEEE Transactions on Computers
Volume48
Issue number2
DOIs
StatePublished - 1999

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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