Article dans revue scientifique avec comité de lecture.The parallelization of a sequentiel molecular dynamics (MD) program using OpenMP directives for a Fortran compiler is described. The strength of this approach lies in the possibility to proceed incrementally, with no to only few alterations of the original, scalar code. If do-loop splitting with OpenMP is certainly less effecient than domain decomposition (DD) approaches, its fast implementation, requiring little knowledge of the source code, also involves significantly less programming effort. Efficiency of the parallel executable is probed on a distributed-shared memory Silicon Graphics Origin 2000 for MD applications of various complexities. Linear wallclock speed-up ratios using fou...
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynam...
This report describes the use of shared memory emulation with DOLIB (Distributed Object Library) to ...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
This paper discusses the comprehensive performance profiling, improvement, and benchmarking of a Mol...
. We describe the results of a preliminary port of a large molecular dynamics (MD) code, gromos [15]...
This paper describes the techniques and methodologies employed during parallelization of the Molecul...
h i g h l i g h t s • We discuss computational bottlenecks in MD and discuss challenges in paralleli...
The most widely used technique to allow for parallel simulations in molecular dynamics is spatial do...
Molecular dynamics (MD) is one of the popular applications in the research field of high performance...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
After at least a decade of parallel tool development, parallelization of scientific applications rem...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Aut...
The parallelisation of a sequential nonequilibrium molecular dynamics (NEMD) code for simulating pol...
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows us...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynam...
This report describes the use of shared memory emulation with DOLIB (Distributed Object Library) to ...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
This paper discusses the comprehensive performance profiling, improvement, and benchmarking of a Mol...
. We describe the results of a preliminary port of a large molecular dynamics (MD) code, gromos [15]...
This paper describes the techniques and methodologies employed during parallelization of the Molecul...
h i g h l i g h t s • We discuss computational bottlenecks in MD and discuss challenges in paralleli...
The most widely used technique to allow for parallel simulations in molecular dynamics is spatial do...
Molecular dynamics (MD) is one of the popular applications in the research field of high performance...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
After at least a decade of parallel tool development, parallelization of scientific applications rem...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Aut...
The parallelisation of a sequential nonequilibrium molecular dynamics (NEMD) code for simulating pol...
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows us...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynam...
This report describes the use of shared memory emulation with DOLIB (Distributed Object Library) to ...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...