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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. 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 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. 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...] 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 Dr. Peter Lu (Harvard University, Physics) recently gave a presentation to the SciGPU group based on his work outlined in the journal paper below: ———– 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...] 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...] This is a poster that was recently presented at the NVIDIA GPU Technology Conference (GTC). Abstract 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...] A paper by: Randall B. Wayth, Lincoln J. Greenhill (Harvard-Smithsonian Center for Astrophysics) and 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...] |
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