Massively parallel methods for engineering and science problems
William J. Camp, Steven J. Plimpton, Bruce Hendrickson, Robert W. Leland · Communications of the ACM · 1994
Massively parallel computers promise unique power for engineering and scientific simulations. Development of parallel software tools and algorithms that take full advantage of this power is a continuing challenge to computational researchers. In this paper we discuss the advantages a message-passing multiple-instruction/multiple-data (MIMD) programming approach has for parallel simulations and two domain-decomposition and load--balancing methods designed to optimize data locality and minimize communication costs on large parallel machines. The methods have proven useful for parallel computations in a broad range of technical fields including structural and fluid dynamics and chemical, biological, and materials science.