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Abstract: For better utilization of computing resources, it is important to consider parallel programming environments in which the number of available processors varies at runtime. In this paper, we discuss runtime support for data parallel programming in such an adaptive environment. Executing programs in an adaptive environment requires redistributing data when the number of processors changes, and also requires determining new loop bounds and communication patterns for the new set of processors. We... (Update)
Context of citations to this paper: More
...of workstations. However only a few of these have explicitly addressed adaptive parallelism, including: data parallel C [10] CHAOS [6], Piranha [5] Application Data Movement [11] and DOME [4] Data parallel C is a data parallel programming language. Its great advantage is...
...to do most of the time. Fully automatic data management distinguishes our approach from systems such as Adaptive Multiblock PARTI [9], where the application programmer must add communication schedules by hand. Also, this system requires a skeleton process to be left on a...
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BibTeX entry: (Update)
G Edjlali, G Agrawal, A Sussman, J Humphries and J Saltz. Compiler and runtime support for programming in adaptive parallel environments. Technical Report CS-TR-3510, University of Maryland, 1995. http://citeseer.ist.psu.edu/edjlali95compiler.html More
@techreport{ edjlali95compiler,
author = "Guy Edjlali and Gagan Agrawal and Alan Sussman and Jim Humphries and Joel Saltz",
title = "Compiler and Runtime Support for Programming in Adaptive Parallel Environments",
number = "CS-TR-3510",
year = "1995",
url = "citeseer.ist.psu.edu/edjlali95compiler.html" }
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