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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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.

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Applications for summer research experiences due Feb. 28

Note: The application process is now closed. Thanks for your interest!

SciGPU is pleased to announce summer research opportunities in scientific GPU computing for undergraduates. We seek undergraduates majoring in science and engineering who are interested in developing new algorithms and systems that use GPUs for applications in astronomy, quantum chemistry and neuroscience.

Interested students may apply [click on link for more...]

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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...]

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...]

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SciGPU-GEMM v0.8 Download

scigpugemm0.8 – a tarball of the v0.8 release of  the SciGPU-GEMM library.

Matrix-matrix multiplications are common in quantum chemistry calculations, and can benefit enormously from GPU acceleration. Although NVIDIA provides an implementation of the BLAS *GEMM routines with its CUDA distribution, two key problems exist when trying to use these from existing code

Most GPUs in current use have limited [click on link for more...]

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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

Astronomy

“Harnessing fun for serious science,” from the Harvard Gazette

A popular account of the SciGPU project has been posted online by the Harvard News Office.

Writer Alvin Powell describes the “trio of projects at Harvard whose massive computing needs have prompted investigators to join forces to pioneer new computing techniques that will benefit not just radio astronomy, but quantum chemistry and neuroscience as well.”

In interviews [click on link for more...]

Astronomy

Undergraduates enjoy the first "summer of SciGPU"

The SciGPU collaborators welcomed four students who came to Harvard for NSF-funded Research Experiences for Undergraduates during summer 2009: Dominik Gothe (University of South Carolina; astronomy), Matthias Lee (Wentworth Institute; time series analysis), Beatrice Perez (University of Puerto Rico; quantum chemistry), and Bo Wang (University of Pittsburgh; neuroscience). The SciGPU REU students were among [click on link for more...]