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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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Quantum chemistry

Taxol RI-MP2 acceleration with MGEMM

Taxol speedup

In our recently submitted paper (R. Olivares-Amaya et al, JCTC), the Alan Aspuru-Guzik group has presented a new implementation of the quantum chemistry method RI-MP2 (resolution-of-the-identity second-order Møller-Plesset perturbation theory) accelerated using GPUs and the MGEMM library published on this website. For the 168-atom valinomycin molecule in a cc-pVDZ basis set, we observed [click on link for more...]

Astronomy

A GPU based real-time software correlation system for the Murchison Widefield Array prototype

A paper by:

Randall B. Wayth, Lincoln J. Greenhill (Harvard-Smithsonian Center for Astrophysics) and
Frank H. Briggs (Research School of Astronomy and Astrophysics, Australian National University)

Modern graphics processing units (GPUs) are inexpensive commodity hardware that offer Tflop/s theoretical computing capacity. GPUs are well suited to many compute-intensive tasks including digital signal processing. We describe the implementation and [click on link for more...]

Astronomy

Richard G. Edgar: Diesel Powered GPU Computing

Slides from a talk describing the Murchison Widefield Array given at the NVIDIA GPU Technology Conference in San Jose, CA on 3rd October 2009.

Download slides [1.6 MB]: NVIDIA-GTC-MWA

Downloads

Mark Watson's talk at HaRIKEN '09, Japan

This is presentation I gave in Tokyo outlining the use of mixed-precision approaches to accelerating linear algebra in correlated quantum chemistry calculations using GPUs.

HaRIKEN is a collaboration between Harvard University and the RIKEN National Laboratory near Tokyo, Japan.

Download slides [1.49 MB]: 20090907_RIKEN