Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation
 

Summary: Interprocedural Data Flow Based Optimizations for Distributed
Memory Compilation
Gagan Agrawal
Department of Computer and Information Sciences
Smith Hall
University of Delaware
Newark, DE 19716
(302)8312783
agrawal@cis.udel.edu
Joel Saltz
UMIACS and Department of Computer Science
University of Maryland
College Park, MD 20742
(301)4052756
saltz@cs.umd.edu
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

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences