TY - JOUR
T1 - Computational chemistry on Fujitsu vector-parallel processors
T2 - Development and performance of applications software
AU - Rendell, Alistair P.
AU - Bliznyuk, Andrey
AU - Huber, Thomas
AU - Nobes, Ross H.
AU - Akhmatskaya, Elena V.
AU - Früchtl, Herbert A.
AU - Kung, Paul W.C.
AU - Milman, Victor
AU - Lung, Han
PY - 2000/7
Y1 - 2000/7
N2 - In this and a preceding paper, we provide an introduction to the Fujitsu VPP range of vector-parallel supercomputers and to some of the computational chemistry software available for the VPP. Here, we consider the implementation and performance of seven popular chemistry application packages. The codes discussed range from classical molecular dynamics to semiempirical and ab initio quantum chemistry. All have evolved from sequential codes, and have typically been parallelized using a replicated data approach. As such they are well suited to the large-memory/fast-processor architecture of the VPP. For one code, CASTEP, a distributed-memory data-driven parallelization scheme is presented.
AB - In this and a preceding paper, we provide an introduction to the Fujitsu VPP range of vector-parallel supercomputers and to some of the computational chemistry software available for the VPP. Here, we consider the implementation and performance of seven popular chemistry application packages. The codes discussed range from classical molecular dynamics to semiempirical and ab initio quantum chemistry. All have evolved from sequential codes, and have typically been parallelized using a replicated data approach. As such they are well suited to the large-memory/fast-processor architecture of the VPP. For one code, CASTEP, a distributed-memory data-driven parallelization scheme is presented.
UR - http://www.scopus.com/inward/record.url?scp=0033707720&partnerID=8YFLogxK
U2 - 10.1016/S0167-8191(00)00017-X
DO - 10.1016/S0167-8191(00)00017-X
M3 - Article
SN - 0167-8191
VL - 26
SP - 887
EP - 911
JO - Parallel Computing
JF - Parallel Computing
IS - 7
ER -