Parallel Numerical Integration on a P2P/Grid Computing Environment
Jun Fang Ni, Tao He, Joe Demaria, Shaowen Wang, Boyd M. Knosp · Grid Computing · 2005
This paper presents a preliminary study of using MCMS-powered P2P technology to conduct parallel integrations which has been widely used in applied mathematics, sciences and engineering. In this study, we designed a system which allow migrate numerical integrations in a P2P/Grid based environment. The system’s client responses for a job scheduling, domain decomposition, and a data communications, while the system’ servers response for computations. The detailed proposed parallelism, system configuration, implementation and programming are presented. This study serves as the initiative of using distributed computing technology for solving large-scale scientific computing problems.