Targeting heterogeneous architectures in ASSIST: experimental results
Aldinucci M., Campa S., Coppola M., Magini S., Pesciullesi P., Potiti L., Ravazzolo R., Torquati M., Zoccolo C.
Structured parallel programming Heterogeneous workstation network Shared memory
We describe how the ASSIST parallel programming environment can be used to run parallel programs on collections of heterogeneous workstations and evaluate the scalability of one task-farm real application and a data-parallel benchmark, comparing the actual performance figures measured when using homogeneous and heterogeneous workstation clusters. We describe also the ASSIST approach to heterogeneous distributed shared memory and provide preliminary performance figures of the current implementation.
Source: EuroPar2004: Parallel and Distributed Computing, pp. 638–643, Pisa, Italy, September 2004
Publisher: Springer-Verlag, Berlin Heidelberg, DEU
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@inproceedings{oai:it.cnr:prodotti:43780,
title = {Targeting heterogeneous architectures in ASSIST: experimental results},
author = {Aldinucci M. and Campa S. and Coppola M. and Magini S. and Pesciullesi P. and Potiti L. and Ravazzolo R. and Torquati M. and Zoccolo C.},
publisher = {Springer-Verlag, Berlin Heidelberg, DEU},
booktitle = {EuroPar2004: Parallel and Distributed Computing, pp. 638–643, Pisa, Italy, September 2004},
year = {2004}
}
0000-0002-7937-4157