Rob Farber gave this talk at the Perth HPC Conference. “Just as technology changes in the personal computer market brought about a revolution in the design and implementation of the systems and algorithms used in HPC, so are recent technology changes in machine learning bringing about an AI revolution in the HPC community. Expect new HPC analytic techniques including the use of GANs (Generative Adversarial Networks) in physics-based modeling and simulation, as well as reduced precision math libraries such as NLAFET and HiCMA to revolutionize many fields of research.”
State-Of-The-Art Machine Learning Algorithms and Near-Term Technology Trends
February 13, 2018 by
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
August 11, 2015 by
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
August 29, 2014 by
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.
