Summary: Detecting Coarse­Grain Parallelism
Using an Interprocedural
Parallelizing Compiler
Mary W. Hall y , Saman P. Amarasinghe,
Brian R. Murphy, Shih­Wei Liao,
Monica S. Lam
Computer Systems Laboratory
Stanford University
Stanford, CA 94305
yComputer Science Dept.
California Institute of Technology
Pasadena, CA 91125
Abstract
This paper presents an extensive empirical evaluation of an
interprocedural parallelizing compiler, developed as part of the
Stanford SUIF compiler system. The system incorporates a com­
prehensive and integrated collection of analyses, including priva­
tization and reduction recognition for both array and scalar vari­
ables, and symbolic analysis of array subscripts. The interproce­
dural analysis framework is designed to provide analysis results

Source: Amarasinghe, Saman - Computer Science and Artificial Intelligence Laboratory & Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)
Pratt, Vaughan - Department of Computer Science, Stanford University

Collections: Computer Technologies and Information Sciences