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...] 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 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...] High Performance Computing as Linchpin in Next-generation Radio Telescopes Abstract The Murchison Widefield Array (MWA) is a radio telescope currently under construction in Australia. It is an interferometer, consisting of over 500 antenna tiles spread over an area of about a square kilometer. The signals from these tiles are synthesized into images by the Real Time System (RTS). In this talk, Richard Edgar describes why [click on link for more...] |
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