Title :
Optimizing atomic functions using compile-time information
Author :
Rühl, Tim ; Bal, Henri E.
Author_Institution :
Dept. of Math. & Comput. Sci., Vrije Univ., Amsterdam, Netherlands
Abstract :
Functions that invoke operations on multiple objects atomically are a useful extension of object-based parallel languages, such as Orca. This paper introduces atomic functions and shows how compile-time information can drive run-time optimizations of such functions
Keywords :
object-oriented languages; optimisation; parallel languages; Orca; atomic functions optimisation; compile-time information; multiple objects; object-based parallel languages; run-time optimizations; Computer science; Data structures; Drives; Mathematics; Message passing; Parallel languages; Parallel programming; Programming profession; Runtime;
Conference_Titel :
Programming Models for Massively Parallel Computers, 1995
Conference_Location :
Berlin
Print_ISBN :
0-8186-7177-7
DOI :
10.1109/PMMPC.1995.504343
