HLogGP: a new parallel computational model for heterogeneous clusters

Authors:
J. L. Bosque;L. P. Perez
Affiliations:
ESCET, Univ. Rey Juan Carlos, Madrid, Spain;ESCET, Univ. Rey Juan Carlos, Madrid, Spain
Venue:
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Year:
2004

Citing 0
Cited 6

A Parallel Computational Model for Heterogeneous Clusters

IEEE Transactions on Parallel and Distributed Systems
RAT: RC Amenability Test for Rapid Performance Prediction

ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Static versus dynamic heterogeneous parallel schemes to solve the symmetric tridiagonal eigenvalue problem

ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
An analytical model for multilevel performance prediction of Multi-FPGA systems

ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Performance modeling for multilevel communication in SHMEM+

Proceedings of the Fourth Conference on Partitioned Global Address Space Programming Model
SGL: towards a bridging model for heterogeneous hierarchical platforms

International Journal of High Performance Computing and Networking

Quantified Score

Hi-index	0.00

Visualization

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 For that purpose, the LogGP's scalar parameters have been replaced by vector and matrix parameters to take into account the different node's features. The work presented here includes the parameterization of a real cluster which illustrates the impact of node heterogeneity over the model's parameters. Finally, the paper presents some experiments performed in a real heterogeneous cluster that can be used for assessing the method's validity, together with the main conclusions and future work.