Using an enterprise grid for execution of MPI parallel applications: a case study

Authors:
Adam K. L. Wong;Andrzej M. Goscinski
Affiliations:
School of Engineering and Information Technology, Deakin University, Geelong, Vic, Australia;School of Engineering and Information Technology, Deakin University, Geelong, Vic, Australia
Venue:
EuroPVM/MPI'06 Proceedings of the 13th European PVM/MPI User's Group conference on Recent advances in parallel virtual machine and message passing interface
Year:
2006

Citing 7
Cited 2

Orca: A Language for Parallel Programming of Distributed Systems

IEEE Transactions on Software Engineering
Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference

Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Optimizing Parallel Applications for Wide-Area Clusters

IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids

GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Characterization of Bandwidth-Aware Meta-Schedulers for Co-Allocating Jobs Across Multiple Clusters

The Journal of Supercomputing
Performance Evaluation of the Concurrent Execution of NAS Parallel Benchmarks with BYTE Sequential Benchmarks on a Cluster

ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Execution environments and benchmarks for the study of applications’ scheduling on clusters

ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing

Parallel computing on clusters and enterprise grids: practice and experience

International Journal of High Performance Computing and Networking
Extending the scope of the controlled logical clock

Cluster Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

An enterprise has not only a single cluster but a set of geographically distributed clusters – they could be used to form an enterprise grid. In this paper we show based on our case study that enterprise grids could be efficiently used as parallel computers to carry out high-performance computing.