Targeting Heterogeneous Architectures in ASSIST: Experimental Results

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Abstract. 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.

Marco Aldinucci, Sonia Campa, Massimo Coppola, Sil

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ASSIST Parallel Programming | EUROPAR 2004 | Heterogeneous Workstation | Heterogeneous Workstation Clusters |

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Added	01 Jul 2010
Updated	01 Jul 2010
Type	Conference
Year	2004
Where	EUROPAR
Authors	Marco Aldinucci, Sonia Campa, Massimo Coppola, Silvia Magini, Paolo Pesciullesi, Laura Potiti, Roberto Ravazzolo, Massimo Torquati, Corrado Zoccolo

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Targeting Heterogeneous Architectures in ASSIST: Experimental Results

ASSIST Parallel Programming | EUROPAR 2004 | Heterogeneous Workstation | Heterogeneous Workstation Clusters |

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