Paper Info
Title
An array operation synthesis scheme to optimize Fortran 90 programs
Abstract
An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. These constructs which constitute an important part of data parallel languages provide excellent opportunities for compiler optimizations. In this paper, we present a new approach to combine consecutive data access patterns of array constructs into a composite access function to the source arrays. Our scheme is based on the composition of access functions, which is similar to a composition of mathematic functions. Our new scheme can handle not only data movements of arrays of different numbers of dimensions and segmented array operations but also masked array expressions and multiple sources array operations. As a result, our proposed scheme is the first synthesis scheme which can synthesize Fortran 90 RESHAPE, EOSHIFT, MERGE, and WHERE constructs together. Experimental results show speedups from 1.21 to 2.95 for code fragments from real applications on a Sequent multiprocessor machine by incorporating the proposed optimizations.
Year
DOI
Venue
1995
10.1145/209936.209949
PPOPP '95 Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
Keywords
Field
DocType
compiler optimization,programming language,data access
Hashed array tree,Array data structure,Dynamic array,Programming language,Computer science,Parallel computing,Array access analysis,Fortran,Optimizing compiler,Theoretical computer science,Array data type,Dope vector
Conference
Volume
Issue
ISSN
30
8
0362-1340
ISBN
Citations 
PageRank 
0-89791-700-6
22
1.35
References 
Authors
4
3
Name
Order
Citations
PageRank
Gwan-hwan Hwang119426.67
Jenq Kuen Lee245948.71
Roy Dz-ching Ju332621.37