Title :
Subdomain dependence test for massive parallelism
Author :
Lu, Lee-Chung ; Chen, Marina C.
Author_Institution :
Dept. of Comput. Sci., Yale Univ., New Haven CT, USA
Abstract :
The authors present a new dependence test which can detect disjoint regions of an iteration space. The test therefore reports accurate dependences for a class of conditional statements. The proposed algorithm can discover large-scale parallelism in cases where previous decision algorithms fail. The methods and algorithms for solving the subdomain dependence test are described. Also considered is the application of the subdomain dependence test to the problem of ´dependence cycle breaking´ and the use of the subdomain dependence test in analyzing functional programs
Keywords :
functional programming; parallel programming; conditional statements; dependence cycle breaking; disjoint regions; functional programs; iteration space; large-scale parallelism; massive parallelism; subdomain dependence test; Automatic generation control; Automatic testing; Centralized control; Computer science; Functional programming; Parallel processing; Terminology; Vector processors;
Conference_Titel :
Supercomputing '90., Proceedings of
Conference_Location :
New York, NY
Print_ISBN :
0-8186-2056-0
DOI :
10.1109/SUPERC.1990.130124