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X-WR-CALNAME:Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures
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DTSTART:20070311T020000
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DTSTART;TZID=America/Chicago:20101116T140000
DESCRIPTION:ABSTRACT: We present a high fidelity numerical simulation of blood flow by directly resolving the interactions of 200 million deformable red blood cells flowing in plasma. This simulation amounts to 90 billion unknowns in space\, with numerical experiments typically requiring O(1000) time steps. In terms of the number of cells\, we improve the state-of-the art by several orders of magnitude: the previous largest simulation\, at the same physical fidelity as ours\, resolved the flow of 14 thousand cells.  This breakthrough is based on novel algorithms that we designed to enable distributed memory\, shared memory\, and vectorized/streaming parallelism. We present results on CPU and hybrid CPU-GPU platforms\, including the new NVIDIA Fermi architecture and 200\,000 cores of ORNL's Jaguar system. For the latter\, we achieve over 0.7 Petaflop/s sustained performance.  Our work demonstrates the successful simulation of complex phenomena using heterogeneous architectures and programming models at the petascale.
UID:gb111@sc10.supercomputing.org
SUMMARY:Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures
DTEND;TZID=America/Chicago:20101116T143000
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