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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.