A Computational Science IDE for HPC Systems: Design and Applications
I tiakina i:
| I whakaputaina i: | International Journal of Parallel Programming vol. 37, no. 1 (Feb 2009), p. 91-105 |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , , , , |
| I whakaputaina: |
Springer Nature B.V.
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full Text Full Text - PDF |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopotonga: | Software engineering studies have shown that programmer productivity is improved through the use of computational science integrated development environments (or CSIDE, pronounced "sea side") such as MATLAB. Scientists often desire to use high-performance computing (HPC) systems to run their existing CSIDE scripts with large data sets. ParaM is a CSIDE distribution that provides parallel execution of MATLAB scripts on HPC systems at large shared computer centers. ParaM runs on a range of processor architectures (e.g., x86, x64, Itanium, PowerPC) and its MPI binding, known as bcMPI, supports a number of interconnect architectures (e.g., Myrinet and InfiniBand). On a cluster at Ohio Supercomputer Center, bcMPI with blocking communication has achieved 60% of the bandwidth of an equivalent C/MPI benchmark. In this paper, we describe goals and status for the ParaM project and the development of applications in signal and image processing that use ParaM. [PUBLICATION ABSTRACT] |
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| ISSN: | 0885-7458 1573-7640 0091-7036 |
| DOI: | 10.1007/s10766-008-0084-3 |
| Puna: | ABI/INFORM Global |