Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-12-10
Computer Science
Distributed, Parallel, and Cluster Computing
46 pages 10 figures
Scientific paper
The current trend of multicore architectures on shared memory systems underscores the need of parallelism. While there are some programming model to express parallelism, thread programming model has become a standard to support these system such as OpenMP, and POSIX threads. MPI (Message Passing Interface) which remains the dominant model used in high-performance computing today faces this challenge. Previous version of MPI which is MPI-1 has no shared memory concept, and Current MPI version 2 which is MPI-2 has a limited support for shared memory systems. In this research, MPI-2 version of MPI will be compared with OpenMP to see how well does MPI perform on multicore / SMP (Symmetric Multiprocessor) machines. Comparison between OpenMP for thread programming model and MPI for message passing programming model will be conducted on multicore shared memory machine architectures to see who has a better performance in terms of speed and throughput. Application used to assess the scalability of the evaluated parallel programming solutions is matrix multiplication with customizable matrix dimension. Many research done on a large scale parallel computing which using high scale benchmark such as NSA Parallel Benchmark (NPB) for their testing standarization [1]. This research will be conducted on a small scale parallel computing that emphasize more on the performance evaluation between MPI and OpenMPI parallel programming model using self created benchmark.
Hasta D. T.
Mutiara A. B.
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