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 participants

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Mark Silberstein's SciGPU seminar

Mark Silberstein (Technion) gave a SciGPU talk at Harvard entitled “Efficient sum-product computations on GPUs through software-managed cache” on November 23, 2009. His slides are posted here: SumProductHarvard

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Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the ISS

Dr. Peter Lu (Harvard University, Physics) recently gave a presentation to the SciGPU group based on his work outlined in the journal paper below:

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We implement image correlation, a fundamental component of many real-time imaging and tracking systems, on a graphics processing unit (GPU) using NVIDIAs CUDA. We use our code to analyze images of liquid-gas [click on link for more...]

Quantum chemistry

SciGPU-GEMM paper accepted in Journal of Chemical Theory and Computation

Our new article, Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units and a Mixed Precision Matrix Multiplication Library,” by Roberto Olivares-Amaya, Mark A. Watson, Richard G. Edgar, Leslie Vogt, Yihan Shao and Alan Aspuru-Guzik, is now available online at the JCTC website:

http://pubs.acs.org/doi/abs/10.1021/ct900543q

Abstract

Two new tools for the acceleration of computational chemistry codes using [click on link for more...]

Astronomy

GPUs used for Real-Time Correlation at the Murchison Wide-field Array Prototype

The Murchison Widefield Array is using a real-time GPU correlator to enable engineering and early science for a 5% prototype. Read more about how this system works! See online coverage of the MWA showcasing GPU computing efficiency, as described at the NVIDIA GPU Technology Conference, San Jose 2009. Take a look at the related talk, [click on link for more...]

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Mixed-precision GPU Krylov solver for lattice QCD

This is a poster that was recently presented at the NVIDIA GPU Technology Conference (GTC).

Abstract
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Using the CUDA platform we have implemented a mixed precision Krylov solver for the Wilson-Dirac matrix for lattice QCD. The matrix-vector product which accounts for the vast majority of the operations runs in excess of 130 Gflops in single precision on [click on link for more...]