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Deep and machine learning, as well as advanced HPC facilities are bound to accelerate and maximize scientific discovery

In the session on Astrophysics and HPC at ISC’18 in Frankfurt, Germany, Eliu Huerta from the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign provided insight on what the fields of high-performance computing (HPC), high-throughput computing (HTC) and Artificial Intelligence can contribute to multimessenger astrophysics. The fusion of HPC and HTC have been essential for the gravitational wave discovery. Multimessenger astrophysics is a driver for convergence in leadership class supercomputers. Deep learning at scale is already actively used for multimessenger astrophysics.

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