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  1. Proceedings. Working Conference on Massively Parallel Programming Models.
  2. Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)
  3. Massively parallel computing in Java
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Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)
Proceedings. Third Working Conference on Massively Parallel Programming Models (Cat. No.97TB100228)
Solving irregular problems with High Performance Fortran
BaLinda: a simple parallel programming model
(De) composition rules for parallel scan and reduction
Portability of performance with the BSPLib communications library
MPI-2: standards beyond the message-passing model
A parallel program execution model supporting modular software construction
Performance driven programmimg models
Parallel programming and complexity analysis using Actors
Potential parallelism in iteration methods
The high performance solution of irregular problems
Aspects of the compilation of nested parallel imperative languages
Massively parallel computing in Java
Market-based massively parallel Internet computing
Variable grain architectures for MPP computation and structured parallel programming
Compiling and supporting skeletons on MPP
Datarol: a parallel machine architecture for fine-grain multithreading
The SB-PRAM: concept, design and construction
Integrating computation and information resources-an MPP perspective
Scalable multicomputer object spaces: a foundation for high performance systems
Commercial applications on the AP3000 parallel computer
HPF+ investigations with crash-simulation kernels
A parallel programming model for irregular dynamic neural networks
Index of authors

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Massively parallel computing in Java

Content Provider IEEE Xplore Digital Library
Author Getov, V. Flynn-Hummel, S. Mintchev, S. Ngo, T.
Copyright Year 1997
Description Author affiliation: Westminster Univ., UK (Getov, V.)
Abstract Although Java was not specifically designed for the computationally intensive numeric applications that are the typical fodder of highly parallel machines, its widespread popularity and portability make it an interesting candidate vehicle for massively parallel programming. With the advent of high-performance optimizing Java compilers, the open question is: How can Java programs best exploit massive parallelism? The authors have been contemplating this question via libraries of Java-routines for specifying and coordinating parallel codes. It would be most desirable to have these routines written in 100%-Pure Java; however, a more expedient solution is to provide Java wrappers (stubs) to existing parallel coordination libraries, such as MPI. MPI is an attractive alternative, as like Java, it is portable. We discuss both approaches here. In undertaking this study, we have also identified some minor modifications of the current language specification that would make 100%-Pure Java parallel programming more natural.
Starting Page 112
Ending Page 117
File Size 473677
Page Count 6
File Format PDF
ISBN 0818684275
DOI 10.1109/MPPM.1997.715967
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 1997-11-14
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Concurrent computing Java Program processors Parallel programming Optimizing compilers Computer applications Parallel processing Parallel machines Libraries Vehicles
Content Type Text
Resource Type Article
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