Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
An implicit-explicit approach for atmospheric transport-chemistry problems
Applied Numerical Mathematics
Architecture independent parallel binomial tree option price valuations
Parallel Computing
A High Performance Java Middleware with a Real Application
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Performance Comparison of Parallel Programming Environments for Implementing AIAC Algorithms
The Journal of Supercomputing
Parallel Iterative Algorithms: From Sequential to Grid Computing (Chapman & Hall/Crc Numerical Analy & Scient Comp. Series)
More on JACE: new functionalities, new experiments
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Performance Comparison of Parallel Programming Environments for Implementing AIAC Algorithms
The Journal of Supercomputing
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Jace is a Multi-threaded Java environment that permits to implement and execute distributed asynchronous iterative algorithms. This class of algorithm is very suitable in a grid computing context because it suppresses all synchronizations between computation nodes, tolerates the loss of messages and enables the overlapping of communications by computation. The aim of this paper is to present new results obtained with the new improved version of Jace. This version is a complete rewriting of the environment. Several functionalities have been added to achieve better performances. In particular, the communication and the task management layers have been completely redesigned. Our evaluation is based on solving scientific applications using the french Grid'5000 platform and shows that the new version of Jace performs better than the old one.