Acceleration of a QM/MM-QMC simulation using GPU
โ Scribed by Yutaka Uejima; Tomoharu Terashima; Ryo Maezono
- Book ID
- 102306128
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 233 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0192-8651
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
We accelerated an ab initio molecular QMC calculation by using GPGPU. Only the bottleโneck part of the calculation is replaced by CUDA subroutine and performed on GPU. The performance on a (single core CPU + GPU) is compared with that on a (single core CPU with double precision), getting 23.6 (11.0) times faster calculations in single (double) precision treatments on GPU. The energy deviation caused by the single precision treatment was found to be within the accuracy required in the calculation, โผ10^โ5^ hartree. The accelerated computational nodes mounting GPU are combined to form a hybrid MPI cluster on which we confirmed the performance linearly scales to the number of nodes. ยฉ 2011 Wiley Periodicals, Inc. J Comput Chem, 2011
๐ SIMILAR VOLUMES
## An energy decomposition method is present in statistical Monte Carlo simulations of aqueous solutions of a series of organic solutes, making use of a hybrid quantum mechanical and polarizable molecular mechanical ลฝ . QMrMM-PIPF approach. In the hybrid QMrMM-PIPF method, the mutual soluteแsolvent
We present the development and assessment on the accuracy of a perturbative approach for Monte Carlo simulations using a hybrid ab initio quantum mechanical/molecular mechanics (QM/MM) potential. The central idea of this approach is that for most solvent moves, the changes in the solute wavefunction
## Abstract During the past few years, graphics processing units (GPUs) have become extremely popular in the high performance computing community. In this study, we present an implementation of an acceleration engine for the solventโsolvent interaction evaluation of molecular dynamics simulations.