Towards Massively Parallel Numerical Computations Based on Dynamic SMP Clusters with Communication on the Fly

The paper presents an analysis of the suitability of the architecture of dynamic SMP clusters with communication on the fly for massively parallel fine grain numerical computations. It is assumed that the proposed architecture is implemented using the highly modular "system on chip" and &q...

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Vydané v:The 4th International Symposium on Parallel and Distributed Computing (ISPDC'05) s. 155 - 162
Hlavní autori: Tudruj, M., Masko, L.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 2005
Predmet:
Computer architecture
Computer science
Concurrent computing
Embedded computing
Information analysis
Information technology
Network-on-a-chip
Parallel processing
System-on-a-chip
Very large scale integration
ISBN:0769524346, 9780769524344
ISSN:2379-5352
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Popis
Shrnutí:The paper presents an analysis of the suitability of the architecture of dynamic SMP clusters with communication on the fly for massively parallel fine grain numerical computations. It is assumed that the proposed architecture is implemented using the highly modular "system on chip" and "network on chip" technology. This technology is considered to provide soon a very large number of co-operating processors embedded in a single parallel system, thus enabling massively parallel computations. The proposed architecture of dynamic clusters with communication on the fly meets requirements of large scale fine grain computations and can be successfully applied in this technology. Experimental simulation results are presented concerning efficiency of fine grain parallel implementation of a typical numerical problem which is matrix multiplication based on recursive data decomposition. Selection of optimal parallel computation grain is discussed. Estimations of the efficiency of the proposed methods for fine grain computations for large problem size are presented
ISBN:0769524346
9780769524344
ISSN:2379-5352
DOI:10.1109/ISPDC.2005.51