Block matrix multiplication in a distributed computing environment: experiments with netsolve

Authors:
Luisa D'Amore;Giuliano Laccetti;Marco Lapegna
Affiliations:
Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy;Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy;Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy
Venue:
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Year:
2005

Citing 4
Cited 2

Heterogeneous distribution of computations solving linear algebra problems on networks of heterogeneous computers

Journal of Parallel and Distributed Computing
Matrix Multiplication on Heterogeneous Platforms

IEEE Transactions on Parallel and Distributed Systems
Message Passing: From Parallel Computing to the Grid

Computing in Science and Engineering
Performance of Various Computers Using Standard Linear Equations Software

Performance of Various Computers Using Standard Linear Equations Software

Synchronization and caching data for numerical linear algebra algorithms in distributed and grid computing environments

Proceedings of the 1st ACM workshop on Data grids for eScience
Implementing effective data management policies in distributed and grid computing environments

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

We address synchronization issues of some block matrix multiplication algorithms in a distributed computing environment. We discuss performance behavior of a client/server implementation of these algorithms focusing on the most appropriate version which delivers the minimum synchronization overhead. Numerical experiments are carried out using the NetSolve distributed computing system.