A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms

Soumya Sanyal; Amit Jain; Sajal K. Das; Rupak Biswas

doi:10.1109/CLUSTR.2003.1253357

A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms

Soumya Sanyal
, Amit Jain
, Sajal K. Das
, Rupak Biswas

University of Texas at Arlington
NASA Ames Research Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-499
Number of pages	4
ISBN (Electronic)	0769520669
DOIs	https://doi.org/10.1109/CLUSTR.2003.1253357
State	Published - 2003
Externally published	Yes
Event	IEEE International Conference on Cluster Computing, CLUSTER 2003 - Hong Kong, China Duration: Dec 1 2003 → Dec 4 2003

Publication series

Name	Proceedings - IEEE International Conference on Cluster Computing, ICCC
Volume	2003-January
ISSN (Print)	1552-5244

Conference

Conference	IEEE International Conference on Cluster Computing, CLUSTER 2003
Country/Territory	China
City	Hong Kong
Period	12/1/03 → 12/4/03

ASJC Scopus Subject Areas

Software
Hardware and Architecture
Signal Processing

Access to Document

10.1109/CLUSTR.2003.1253357

Cite this

Sanyal, S., Jain, A., Das, S. K., & Biswas, R. (2003). A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms. In Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003 (pp. 496-499). Article 1253357 (Proceedings - IEEE International Conference on Cluster Computing, ICCC; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLUSTR.2003.1253357

A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms. / Sanyal, Soumya; Jain, Amit; Das, Sajal K. et al.
Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 496-499 1253357 (Proceedings - IEEE International Conference on Cluster Computing, ICCC; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sanyal, S, Jain, A, Das, SK & Biswas, R 2003, A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms. in Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003., 1253357, Proceedings - IEEE International Conference on Cluster Computing, ICCC, vol. 2003-January, Institute of Electrical and Electronics Engineers Inc., pp. 496-499, IEEE International Conference on Cluster Computing, CLUSTER 2003, Hong Kong, China, 12/1/03. https://doi.org/10.1109/CLUSTR.2003.1253357

Sanyal S, Jain A, Das SK, Biswas R. A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms. In Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 496-499. 1253357. (Proceedings - IEEE International Conference on Cluster Computing, ICCC). doi: 10.1109/CLUSTR.2003.1253357

Sanyal, Soumya ; Jain, Amit ; Das, Sajal K. et al. / A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms. Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 496-499 (Proceedings - IEEE International Conference on Cluster Computing, ICCC).

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title = "A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms",

author = "Soumya Sanyal and Amit Jain and Das, \{Sajal K.\} and Rupak Biswas",

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ER -

A hierarchical and distributed approach for mapping large applications to heterogeneous grids using genetic algorithms

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this