Adapting a Partitioning-Based Heuristic Load-Balancing Algorithm to Heterogeneous Computing Environments

Timisoara, Romania September 25-September 29

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http://doi.ieeecomputersociety.org/10.1109/SYNASC.2005.16

Seventh International Symposium on Sy ...

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	Dana Petcu, "Adapting a Partitioning-Based Heuristic Load-Balancing Algorithm to Heterogeneous Computing Environments," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 170-173, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005.

	BibTex	x
	@article{ 10.1109/SYNASC.2005.16, author = {Dana Petcu}, title = {Adapting a Partitioning-Based Heuristic Load-Balancing Algorithm to Heterogeneous Computing Environments}, journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on}, volume = {0}, year = {2005}, isbn = {0-7695-2453-2}, pages = {170-173}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2005.16}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on TI - Adapting a Partitioning-Based Heuristic Load-Balancing Algorithm to Heterogeneous Computing Environments SN - 0-7695-2453-2 SP170 EP173 A1 - Dana Petcu, PY - 2005 KW - null VL - 0 JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on ER -

Dana Petcu, Western University of Timişoara

A graph partitioning-based heuristic load-balancing algorithm known as the Largest-task-first-with-minimum-finish-time-and-available-communication-costs from EVAH package [3] is modified in order to be dynamically adapted to heterogeneous computing environments like a grid. An example is given to show the improvement.

Citation:

Dana Petcu, "Adapting a Partitioning-Based Heuristic Load-Balancing Algorithm to Heterogeneous Computing Environments," synasc, pp.170-173, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005

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