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State-Of-The-Art Machine Learning Algorithms and Near-Term Technology Trends

Rob Farber from TechEnablement gave this talk at the HPC Knowledge Portal 2017 meeting. “This talk will merge two state-of-the-art briefings: Massive scale and state-of-the art algorithm mappings for both machine learning and unstructured data analytics including how they are affected by current and forthcoming hardware and the technology trends at Intel, NVIDIA, IBM, ARM, and OpenPower that will affect algorithm developments.”

Training the Next Generation of Code Developers for HPC

This is the first article in a two-part series by Rob Farber about the challenges facing the HPC community in training people to write code and develop algorithms for current and future, massively-parallel, massive-scale HPC systems.

Accelerating CFD with PyFr on GPUs

Over at TechEnablement, Dr. Peter Vincent writes that PyFR is an open-source 5,000 line Python based framework for solving fluid-flow problems that can exploit many-core computing hardware such as GPUs.