In this and a preceding paper, we provide an introduction to the Fujitsu VP
P range of vector-parallel supercomputers and to some of the computational
chemistry software available for the VPP. Here, we consider the implementat
ion and performance of seven popular chemistry application packages. The co
des discussed range from classical molecular dynamics to semiempirical and
ab initio quantum chemistry. All have evolved from sequential codes, and ha
ve typically been parallelised using a replicated data approach. As such th
ey are well suited to the large-memory/fast-processor architecture of the V
PP. For one code, CASTEP, a distributed-memory data-driven parallelisation
scheme is presented. (C) 2000 Published by Elsevier Science B.V. All rights
reserved.