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This paper describes how to reduce the burden of parallel programming by utilizing relevant parallel programs. Parallel algorithms are divided into four classes and a case base fo...
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...
Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. ...
This paper describes the design, implementation, and performance of a Java framework for supporting a style of parallel programming in which problems are solved by (recursively) s...
The Java programming language and environment is stimulating new research activities in many areas of computing, not the least of which is parallel computing. Parallel techniques ...
- It is attractive to use the OpenMP as a parallel programming model on a Multiprocessor System-On-Chip (MPSoC) because it is easy to write a parallel program in the OpenMP and the...
Many different parallel programming models, including lightweight processes that communicate with shared memory and heavyweight processes that communicate with messages, have been...
Michael L. Scott, Thomas J. LeBlanc, Brian D. Mars...
Some of the most common parallel programming idioms include locks, barriers, and reduction operations. The interaction of these programming idioms with the multiprocessor's c...
Ricardo Bianchini, Enrique V. Carrera, Leonidas I....
Abstract. SKaMPI is a benchmark for MPI implementations. Its purpose is the detailed analysis of the runtime of individual MPI operations and comparison of these for di erent imple...
Ralf Reussner, Peter Sanders, Lutz Prechelt, Matth...
Parallel programming on distributed memory systems is one of the most challenging research areas in parallel computingtoday. Objectbased parallel programming languages are an impor...
Distributed shared objects are a well known approach to achieve independenceof the memory model for parallel programming. The illusion of shared (global) objects is a conabstracti...