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Journals ACM Computing Surveys (CSUR) Volume 32 Issue 1es

An Object-Oriented Framewo rkfor Data Pa rallelism J.-M. J equel ez Irisa CNRS Distributed memory supercomputers are well kno wn for being di cult to program. We believe that the object-orien ted framew technologies can be used to drastically reduce this apparent ork complexity. As an example, we describe a framework where the data parallel codes can be encapsulated in object-oriented software components that can be reused, combined and customized with con dence by library designers to o er application programmers easy to use programming models. Additional Key Words and Phrases: data distribution, distributed systems, frameworks, object oriented design, parallel linear algebra library, reuse, softw are componen supercomputing ts, 1. INTRODUCTION Implementing e cient and reliable data parallel applications onto Distributed Memory P arallel ComputersDMPCs at the message passing level is a daunting endea vor. Instead of concentrating on the application design, the programmer has to deal with many tedious and error prone activities: parallelization, distribution, process handling, sync hronization and comm unication management Pancake and Bergmark 1990 . One of the main directions investigated so far consists in the design of semi-automatic parallelizing compilers. How ev building compilers that er, generate e cient code for non trivial

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An object-oriented framework for data parallelism

Jézéquel, J.-M.
ACM Computing Surveys (CSUR) , Volume 32 (1es)
Association for Computing Machinery – Mar 1, 2000

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