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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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...] 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...] The following news was released April 2, 2009 by NVIDIA Corporation. The company’s release can be found here. SANTA CLARA, CA—NVIDIA Corporation, inventor of the GPU, today announced that Harvard University has been recognized as a CUDA Center of Excellence for its commitment to teaching GPU Computing and its integration of CUDA™-enabled GPUs for a host [click on link for more...] |
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