121 citations · 173 across the 4 of their papers we have counts for
Showing physics.comp-phShow all
3 papers · 1 filter
physics.comp-ph2009
ACEMD: Accelerating bio-molecular dynamics in the microsecond time-scale
M. J. Harvey, G. Giupponi, G. De Fabritiis
The high arithmetic performance and intrinsic parallelism of recent graphical processing units (GPUs) can offer a technological edge for molecular dynamics simulations. ACEMD is a…
physics.comp-ph2006★ 43 cited
Performance of the Cell processor for biomolecular simulations
G. De Fabritiis
The new Cell processor represents a turning point for computing intensive applications. Here, I show that for molecular dynamics it is possible to reach an impressive sustained per…
physics.comp-ph2006★ 9 cited
Coupled applications on distributed resources
P. V. Coveney, G. De Fabritiis, M. J. Harvey +2
Coupled models are set to become increasingly important in all aspects of science and engineering as tools with which to study complex systems in an integrated manner. Such coupled…