首页> 外文期刊>Journal of chemical theory and computation: JCTC >Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald
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Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald

机译:在GPU上使用AMBER进行常规的微秒分子动力学模拟。 2.显式溶剂粒子网格Ewald

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We present an implementation of explicit solvent all atom classical molecular dynamics (MD) within the AMBER program package that runs entirely on CUDA-enabled GPUs. First released publicly in April 2010 as part of version 11 of the AMBER MD package and further improved and optimized over the last two years, this implementation supports the three most widely used statistical mechanical ensembles (NVB, NVT, and NPT), uses particle mesh Ewald (PME) for the long-range electrostatics, and runs entirely on CUDA-enabled NVIDIA graphics processing units (GPUs), providing results that are statistically indistinguishable from the traditional CPU version of the software and with performance that exceeds that achievable by the CPU version of AMBER software running on all conventional CPU-based clusters and supercomputers. We briefly discuss three different precision models developed specifically for this work (SPDP, SPFP, and DPDP) and highlight the technical details of the approach as it extends beyond previously reported work [Gotz et al., J. Chem. Theory Comput. 2012, DOI: 10.1021/ct200909j; Le Grand et al., Comp. Phys. Comm. 2013, DOI: 10.1016/j.cpc.2012.09.022].We highlight the substantial improvements in performance that are seen over traditional CPU-only machines and provide validation of our implementation and precision models. We also provide evidence supporting our decision to deprecate the previously described fully single precision (SPSP) model from the latest release of the AMBER software package.
机译:我们在AMBER程序包中提出了显式溶剂所有原子经典分子动力学(MD)的实现,该程序完全在支持CUDA的GPU上运行。该实现于2010年4月作为AMBER MD软件包版本11的一部分首次公开发布,并且在过去两年中得到了进一步改进和优化,该实现支持三种最广泛使用的统计机械集成(NVB,NVT和NPT),使用粒子网格Ewald(PME)用于远程静电,并且完全在支持CUDA的NVIDIA图形处理单元(GPU)上运行,提供的结果与传统软件版本的CPU在统计上没有区别,并且性能超过CPU可以达到的水平所有常规基于CPU的群集和超级计算机上运行的AMBER软件版本。我们简要讨论了专门为此工作开发的三种不同的精度模型(SPDP,SPFP和DPDP),并着重介绍了该方法的技术细节,因为该方法超出了先前报道的工作[Gotz等人,J。Chem。理论计算。 2012,DOI:10.1021 / ct200909j; Le Grand等,比较物理通讯2013,DOI:10.1016 / j.cpc.2012.09.022]。我们着重介绍了与传统的仅使用CPU的计算机相比,性能的显着提高,并验证了我们的实现和精度模型。我们还提供证据支持我们决定从最新版本的AMBER软件包中淘汰先前描述的完全单精度(SPSP)模型。

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