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Justin Gullingsrud

Researcher at D. E. Shaw Research

Publications -  5
Citations -  278

Justin Gullingsrud is an academic researcher from D. E. Shaw Research. The author has contributed to research in topics: Parallel algorithm & Hybrid Monte Carlo. The author has an hindex of 4, co-authored 5 publications receiving 184 citations.

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Proceedings ArticleDOI

A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories

TL;DR: A new parallel analysis framework called HiMach, which allows users to write trajectory analysis programs sequentially, and carries out the parallel execution of the programs automatically, and an extension to the original MapReduce model to support multiple rounds of analysis.

Desmond Performance on a Cluster of Multicore Processors

TL;DR: This report documents the performance that Desmond achieved on new hardware in April 2008, and reveals its top simulation rate is 471 ns/day on 1024 cores of an InfiniBand cluster.
Journal ArticleDOI

Automated Event Detection and Activity Monitoring in Long Molecular Dynamics Simulations

TL;DR: This paper presents automated methods for the detection of potentially important structure-changing events in long MD trajectories and provides a detailed report of broken and formed contacts that aids in the identification of specific time-dependent side-chain interactions.
Journal ArticleDOI

Computationally efficient molecular dynamics integrators with improved sampling accuracy

TL;DR: This work introduces a class of explicit variational integrators designed to achieve high accuracy for quadratic potentials, with little additional computation relative to traditional integrators, and shows that they improve accuracy for classical biomolecular simulations.