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Author Geuder, U. ♦ Hardtner, M. ♦ Worner, B. ♦ Zink, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1994
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Control systems ♦ Parallel programming ♦ Parallel processing ♦ Scalability ♦ Concurrent computing ♦ Grid computing ♦ Hardware ♦ Application software ♦ Standardization ♦ Message passing
Abstract Computational sciences require more computer power than current hardware technology is able to deliver at acceptable costs. Exploiting parallelism is the most promising way to obtain substantial performance increases. However, the absence of suitable parallel software delays a wider use of parallel systems. Automatic parallelization can help to overcome this problem. General automatic parallelization is a very difficult or even unsolvable problem. This paper shows that automatic parallelization becomes feasible when restrictions are imposed on the class of applications to be handled. The system presented in this paper is specialized for grid-based numerically intensive computations. An important feature of systems for parallel processing is scalability. Mechanisms to make the execution control of the automatic parallelization system scalable are presented. The validity of the concepts is shown by performance data.
Description Author affiliation: Inst. of Parallel & Distributed High-Performance Syst., Stuttgart Univ., Germany (Geuder, U.; Hardtner, M.; Worner, B.; Zink, R.)
ISBN 0818656808
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1994-05-23
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 762.41 kB
Page Count 8
Starting Page 788
Ending Page 795


Source: IEEE Xplore Digital Library