A Parallel Computational Model for Heterogeneous Clusters

A Parallel Computational Model for Heterogeneous Clusters (2006)

by Jose Luis Bosque , Luis Pastor

Venue:	IEEE Transactions on Parallel and Distributed Systems
Citations:	5 - 0 self

Datum	Value	Source
TITLE	A Parallel Computational Model for Heterogeneous Clusters	INFERENCE
AUTHOR NAME	Jose Luis Bosque	SVM HeaderParse 0.2
AUTHOR NAME	Luis Pastor	SVM HeaderParse 0.2
ABSTRACT	Abstract—Heterogeneous clusters claim for new models and algorithms. In this paper, a new parallel computational model is presented. The model, based on the LogGP model, has been extended to be able to deal with heterogeneous parallel systems. For that purpose, the LogGP’s scalar parameters have been replaced by vector and matrix parameters to take into account the different nodes ’ features. The work presented here includes the parametrization of a real cluster, which illustrates the impact of node heterogeneity over the model’s parameters. Finally, the paper presents some experiments that can be used for assessing the method’s validity, together with the main conclusions and future work. Index Terms—Parallel computational models, performance evaluation, heterogeneous systems, cluster computing, LogGP model. 1	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	IEEE Transactions on Parallel and Distributed Systems	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	1400	INFERENCE
VOLUME	17	INFERENCE
TECH	Typescript	INFERENCE
CITATIONS	33 found	ParsCit 1.0