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...

Full description

Saved in:
Bibliographic Details
Published in:The 4th International Symposium on Parallel and Distributed Computing (ISPDC'05) pp. 155 - 162
Main Authors: Tudruj, M., Masko, L.
Format: Conference Proceeding
Language:English
Published: IEEE 2005
Subjects:
ISBN:0769524346, 9780769524344
ISSN:2379-5352
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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