Geometrical Interpretation for Data partitioning on a Grid Architecture

H
HPDC
2006
2006 15th IEEE International Conference on High Performance Distributed Computing
Abstract - Geometrical Interpretation for Data partitioning on a Grid Architecture

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	Similar Articles Articles by D. Bernardi Articles by C. Cerin Articles by H. Fkaier Articles by M. Jemni Articles by M. Koskas

2006 15th IEEE International Conference on High Performance Distributed Computing

Paris

June 19-June 23

ISBN: 1-4244-0307-3

	ASCII Text	x
	D. Bernardi, C. Cerin, H. Fkaier, M. Jemni, M. Koskas, "Geometrical Interpretation for Data partitioning on a Grid Architecture," High-Performance Distributed Computing, International Symposium on, pp. 355-356, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006.

	BibTex	x
	@article{ 10.1109/HPDC.2006.1652181, author = {D. Bernardi and C. Cerin and H. Fkaier and M. Jemni and M. Koskas}, title = {Geometrical Interpretation for Data partitioning on a Grid Architecture}, journal ={High-Performance Distributed Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {1-4244-0307-3}, pages = {355-356}, doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.1652181}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - High-Performance Distributed Computing, International Symposium on TI - Geometrical Interpretation for Data partitioning on a Grid Architecture SN - 1-4244-0307-3 SP355 EP356 A1 - D. Bernardi, A1 - C. Cerin, A1 - H. Fkaier, A1 - M. Jemni, A1 - M. Koskas, PY - 2006 KW - sort algorithm KW - data partitioning KW - grid architecture KW - load balancing VL - 0 JA - High-Performance Distributed Computing, International Symposium on ER -

D. Bernardi, Inst. de Math. de Jussieu, Univ. P.&M. Curie-Paris6, Paris

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.1652181

We study, in this work, the load balancing of sort algorithm executed on a two cluster grid. Our solution is based on data partitioning. We use mainly geometrical interpretations to find out the optimal partition that reduces both communication and computing times in an heterogeneous context

Index Terms:

sort algorithm, data partitioning, grid architecture, load balancing

Citation:

D. Bernardi, C. Cerin, H. Fkaier, M. Jemni, M. Koskas, "Geometrical Interpretation for Data partitioning on a Grid Architecture," hpdc, pp.355-356, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006

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