Abstract

We discuss the hardware and software requirements that appear relevant for a set of industrial applications of parallel computing. these are divided into 33 separate categories, and come from a recent survey of industry in New York State. The software discussions includes data parallel languages, message passing, databases, and high-level integration systems. The analysis is based on a general classification of problem architectures originally developed for academic applications of parallel computing. Suitable hardware architectures are suggested for each application. The general discussion is crystalized with three case studies: computational chemistry, computational fluid dynamics, including manufacturing, and Monte Carlo Methods.

Citations