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Scott M. Le Grand

Researcher at Amazon.com

Publications -  27
Citations -  7164

Scott M. Le Grand is an academic researcher from Amazon.com. The author has contributed to research in topics: Sorting algorithm & Thread (computing). The author has an hindex of 15, co-authored 27 publications receiving 5691 citations. Previous affiliations of Scott M. Le Grand include University of California, Los Angeles & Pennsylvania State University.

Papers
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Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald.

TL;DR: An implementation of explicit solvent all atom classical molecular dynamics (MD) within the AMBER program package that runs entirely on CUDA-enabled GPUs, providing results that are statistically indistinguishable from the traditional CPU version of the software and with performance that exceeds that achievable by the CPUs running on all conventional CPU-based clusters and supercomputers.
Journal ArticleDOI

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

TL;DR: An implementation of generalized Born implicit solvent all-atom classical molecular dynamics within the AMBER program package that runs entirely on CUDA enabled NVIDIA graphics processing units (GPUs) and shows performance that is on par with, and in some cases exceeds, that of traditional supercomputers.
Book

The Protein Folding Problem and Tertiary Structure Prediction

TL;DR: This work Modeling Side Chains in Peptides and Proteins with the Locally Enhanced Sampling/Simulated Annealing Method and the Role of Interior Side-Chain Packing in Protein Folding and Stability are presented.
Journal ArticleDOI

SPFP: Speed without compromise—A mixed precision model for GPU accelerated molecular dynamics simulations

TL;DR: This precision model replaces double precision arithmetic with fixed point integer arithmetic for the accumulation of force components as compared to a previously introduced model that uses mixed single/double precision arithmetic, which significantly boosts performance on modern GPU hardware without sacrificing numerical accuracy.
Journal ArticleDOI

Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning.

TL;DR: Since no significant difference in kinetics or thermodynamics is observed by the use of fast HMR trajectories, further evidence is provided that long-time-step HMR MD simulations are a viable tool for accelerating molecular dynamics simulations for molecules of biochemical interest.