M
Mike Houston
Researcher at Advanced Micro Devices
Publications - 48
Citations - 7138
Mike Houston is an academic researcher from Advanced Micro Devices. The author has contributed to research in topics: General-purpose computing on graphics processing units & Rendering (computer graphics). The author has an hindex of 21, co-authored 47 publications receiving 6604 citations. Previous affiliations of Mike Houston include Stanford University.
Papers
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GPU Computing
TL;DR: The background, hardware, and programming model for GPU computing is described, the state of the art in tools and techniques are summarized, and four GPU computing successes in game physics and computational biophysics that deliver order-of-magnitude performance gains over optimized CPU applications are presented.
Journal ArticleDOI
Brook for GPUs: stream computing on graphics hardware
Ian Buck,Tim Foley,Daniel Reiter Horn,Jeremy Sugerman,Kayvon Fatahalian,Mike Houston,Pat Hanrahan +6 more
TL;DR: This paper presents Brook for GPUs, a system for general-purpose computation on programmable graphics hardware that abstracts and virtualizes many aspects of graphics hardware, and presents an analysis of the effectiveness of the GPU as a compute engine compared to the CPU.
Proceedings ArticleDOI
Chromium: a stream-processing framework for interactive rendering on clusters
Greg Humphreys,Mike Houston,Ren Ng,R.J. Frank,Sean Ahern,Peter D. Kirchner,James T. Klosowski +6 more
TL;DR: Examples of real-world applications that use Chromium to achieve good scalability on clusters of workstations are given, and other potential uses of this stream processing technology are described.
Journal ArticleDOI
OpenMM 4: A reusable, extensible, hardware independent library for high performance molecular simulation
Peter Eastman,Mark S. Friedrichs,John D. Chodera,Randall J. Radmer,Christopher M. Bruns,Joy P. Ku,Kyle A. Beauchamp,Thomas J. Lane,Lee-Ping Wang,Diwakar Shukla,Tony Tye,Mike Houston,Timo Stich,Christoph Klein,Michael R. Shirts,Vijay S. Pande +15 more
TL;DR: OpenMM is a software toolkit for performing molecular simulations on a range of high performance computing architectures that was designed to be extensible, so new hardware architectures can be accommodated and new functionality can be easily added.
Journal ArticleDOI
Accelerating Molecular Dynamic Simulation on Graphics Processing Units
Mark S. Friedrichs,Peter Eastman,Vishal Vaidyanathan,Mike Houston,Scott LeGrand,Adam L. Beberg,Daniel L. Ensign,Christopher M. Bruns,Vijay S. Pande +8 more
TL;DR: A complete implementation of all‐atom protein molecular dynamics running entirely on a graphics processing unit (GPU), including all standard force field terms, integration, constraints, and implicit solvent is described.