Chapter 42 - Parallel Iterative Methods — Pipelined Iterative Methods on Combustion Problem

Abstract

Distributed computing, a method of running programs across several computers on a network, is becoming a popular way to meet the demands for higher performance in both high-performance scientific computing and more "general-purpose" applications. There are many reasons to show the increasing acceptance and adoption of distributed computing, such as performance, the availability of computers to connect, fault tolerance and sharing of resources, etc. By connecting several machines together, more computation power, memory, and I/O bandwidth can be accessed. Distributed computing can be implemented in a variety of ways. For example, groups of workstation interconnected by an appropriate high-speed network (abbreviated to cluster) may even provide supercomputer-level computational power. The combustion simulation is essential to the hydrodynamics and computer graphics. However, it requires much computation for the combustion simulation. In this paper, the computation of the combustion simulation is sped up by pipelined method under the distributed systems.