Welcome to SciGPU.org!

This is a website for an emerging community whose shared goal is harnessing the power of general-purpose programming of graphics processing units to accelerate data-intensive science. The Harvard-based SciGPU community shares knowledge through the site and informal seminars, as well as formal collaborations and publications.

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SciGPU-MGEMM paper accepted in `Computing in Science and Engineering'

Our recent paper, entitled, `Accelerating correlated quantum chemistry calculations using graphical processing units’, by Mark A. Watson, Roberto Olivares-Amaya, Richard G. Edgar, Tomas Arias, and Alan Aspuru-Guzik, has been accepted for the special issue of Computing in Science and Engineering, `SI:Jul/Aug 2010 – High Performance Computing with Accelerators’.

Our manuscript pre-print is available here.

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GPU-accelerated Biomedical Image Analysis

On 1st February 1, 2010, Won-Ki Jeong, Research Scientist at Harvard IIC/SEAS, gave a SciGPU lunchtime seminar entitled:

“GPU-accelerated Biomedical Image Analysis”

Download his presentation here [20MB].

Abstract
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Determining the detailed connections in brain circuits is a fundamental unsolved problem in neuroscience. Understanding this circuitry will enable brain scientists to confirm or refute existing models, develop new ones, and come closer [click on link for more...]

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Unraveling the mysteries of quarks: Ron Babich’s SciGPU seminar

Ron Babich from Boston University gave a talk entitled “Unraveling the Mysteries of Quarks with GPUs” for the IIC SciGPU seminar on February 22nd, 2010. Slides are available here.