Application of Linda to molecular modeling

Abstract

Presents a sampling of work applying parallel computation to computational chemistry using the Linda machine-independent parallel programming language. The authors focus on two projects in particular. The first project parallelized the well-known distance geometry program, DGEOM, while the second project looked at a molecular dynamic code. In both cases, the Linda programs were relatively easy to develop and delivered good performance on a variety of MIMD architectures.<>