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Video: Data Parallel Deep Learning

Huihuo Zheng from Argonne

In this video, Huihuo Zheng from Argonne National Laboratory presents: Data Parallel Deep Learning.

The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future.

Huihuo Zheng is Assistant Computer Scientist at the Argonne Leadership Computing Facility at Argonne National Laboratory. Dr. Zheng is an experienced computational scientist with a demonstrated history of working in machine learning, physics and materials science research. Skilled in high performance supercomputing, distributed machine learning, and first principles Numerical Simulation. Strong research professional with a Ph.D. focused in Computational Physics from University of Illinois at Urbana-Champaign.

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