(Enter summary)
Abstract: Clusters of workstations provide a cost-effective, high performance parallel computing environment. These environments,
however, are often shared by multiple users, or may consist of heterogeneous machines. As a result, parallel
applications executing in these environments must operate despite unequal computational resources. For maximum
performance, applications should automatically adapt execution to maximize use of the available resources. Ideally,
this adaptation should be transparent... (Update)
Context of citations to this paper: More
...load in a parallel application. Results appear at LCR 98 [11] and in the Spring 99 issue of the Journal of Scientific Programming [10]. Our target run time is software DSM in particular, both the Cashmere and TreadMarks runtime systems. CRAUL combines compile time...
...of work. While the problem of generalizing the BLOCK distribution to be able to adapt to changing node activity has been studied [IRSD99] we know of no analogous work for CYCLIC distributions. Computation time on nondedicated nodes can vary from iteration to...
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BibTeX entry: (Update)
S. Ioannidis, U. Rencuzogullari, R. Stets, and S. Dwarkadas. CRAUL: Compiler and run-time integration for adaptation under load. Journal of Scientific Programming, Spring 1999. 8 http://citeseer.ist.psu.edu/article/ioannidis99craul.html More
@misc{ ioannidis99craul,
author = "S. Ioannidis and U. Rencuzogullari and R. Stets and S. Dwarkadas",
title = "CRAUL: Compiler and run-time integration for adaptation under load",
text = "S. Ioannidis, U. Rencuzogullari, R. Stets, and S. Dwarkadas. CRAUL: Compiler
and run-time integration for adaptation under load. Journal of Scientific
Programming, Spring 1999. 8",
year = "1999",
url = "citeseer.ist.psu.edu/article/ioannidis99craul.html" }
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