Interprocedural data flow based optimizations for compilation of irregular problems

Gagan Agrawal, Joel Saltz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Data parallel languages like High Performance Fortran (HPF) are emerging as the architecture independent mode of programming distributed memory parallel machines. In this paper, we present the interprocedural optimizations required for compiling applications having irregular data access patterns, when coded in such data parallel languages. We have developed an Interprocedural Partial Redundancy Elimination (IPRE) algorithm for optimized placement of runtime preprocessing routine and collective communication routines inserted for managing communication in such codes. We also present two new interprocedural optimizations: placement of scatter routines and use of coalescing and incremental routines.

Original languageEnglish (US)
Title of host publicationLanguages and Compilers for Parallel Computing - 8th International Workshop, LCPC 1995, Proceedings
EditorsChua-Huang Huang, Ponnuswamy Sadayappan, Utpal Banerjee, David Gelernter, Alex Nicolau, David Padua
PublisherSpringer Verlag
Pages465-479
Number of pages15
ISBN (Print)9783540607656
DOIs
StatePublished - 1996
Event8th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1995 - Columbus, United States
Duration: Aug 10 1995Aug 12 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1033
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1995
Country/TerritoryUnited States
CityColumbus
Period8/10/958/12/95

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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