HiLO: High level optimization of FFTs

Nick Rizzolo, David Padua

Research output: Contribution to journalConference articlepeer-review

Abstract

As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automating this optimization process by making aggressive assumptions about the algorithm. Motivated by these trends, this paper presents HiLO, the high-level optimizer for FFT codes. HiLO blends traditional optimization techniques into an optimization strategy tailored to the needs of FFT codes and outputs C code ready to be further optimized by the native compiler. It has already been shown that such high-level transformations are important to coax the native compiler into doing its job well. HiLO provides a more appropriate platform for researching these phenomena, suggests an optimization strategy that improves on previous approaches, and shows that even software pipelining at the C level can improve the final binary's performance.

Original languageEnglish (US)
Pages (from-to)238-252
Number of pages15
JournalLecture Notes in Computer Science
Volume3602
DOIs
StatePublished - Jan 1 2005
Event17th International Workshop on Languages and Compilers for High Performance Computing, LCPC 2004 - West Lafayette, IN, United States
Duration: Sep 22 2004Sep 24 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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