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HPC & GPU Supercomputing Meetup

This month's meeting will feature a presentation on Desktop Supercomputing in the Soft-Matter Physics Laboratory by Peter Lu of Harvard University.

6:30pm Open Discussion & Code Hacking

Lively discussion of current projects, new products and the latest news in HPC & GPU.

Bring a problem to get advice from experts and practitioners.

7:30pm Desktop Supercomputing in the Soft-Matter Physics Laboratory

Speaker: Peter Lu

While many GPGPU applications reside on large clusters, in many laboratories the time to move data to an external cluster would exceed the time to analyze it upon arrival. By bringing high-throughput computational power to the data in the laboratory, GPUs offer new capabilities in doing science. This session offers a number of ways in which GPUs are making a significant impact on our research in experimental physics, biology and chemistry, from designing and building apparatus (Quadro and Tesla), to collecting data on portable devices (Tegra), to high-throughput analysis of large data sets (Tesla). It also presents results from studies investigating the motion of diffusing and aggregating colloidal particles and swimming bacteria, observing liquid-gas phase separation onboard the International Space Station, applying high dynamic-range techniques to optical tomography, and using low-cost devices to detect chemical and microbial contamination in the third world.

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  • A former member
    A former member

    It was good to see some example applications for GPU computing.

    September 26, 2012

  • Gary L.

    Always interesting. A trio of diverse real-world applications using NVidia tech. One app achieved 50x speedup just using CUDA NPP & CuFFT libraries on a Tesla C2050 w/o kernal programming. Also, an update on the Tesla K20. Impromptu discussion of MATLAB's Parallel Computing Toolbox which can use recent NVidia CUDA GPUs with just a few code changes.

    September 25, 2012

  • Leiming Y.

    It is thrilling to have Dr. Peter Lu present his works using GPU. Be fascinated by GPU's capability to contribute in Physics, Biology, Chemistry, etc.

    September 25, 2012

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