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With Exascale Looming, this is an Exciting Time for Computational Science

In this video from the 2017 CGSF Review Meeting, Barbara Helland from the Department of Energy presents: With Exascale Looming, this is an Exciting Time for Computational Science. “Helland was also a presenter this week at the ASCR Advisory Committee Meeting, where she disclosed that the Aurora 21 Supercomputer coming to Argonne in 2021 will indeed be an exascale machine.”

Video: JuMP – A Modeling Language for Mathematical Optimization

Miles Lubin from presented this talk at the CSGF Annual Program Review. “JuMP is an open-source software package in Julia for modeling optimization problems. In less than three years since its release, JuMP has received more than 50 citations and has been used in at least 10 universities for teaching. We tell the story of how JuMP was developed, explain the role of the DOE CSGF and high-performance computing, and discuss ongoing extensions to JuMP developed in collaboration with DOE labs.”

Video: DARPA’s SyNAPSE and the Cortical Processor

“I will describe a decade-long, multi-disciplinary, multi-institutional effort spanning neuroscience, supercomputing and nanotechnology to build and demonstrate a brain-inspired computer and describe the architecture, programming model and applications. I also will describe future efforts in collaboration with DOE to build, literally, a “brain-in-a-box”. The work was built on simulations conducted on Lawrence Livermore National Laboratory’s Dawn and Sequoia HPC systems in collaboration with Lawrence Berkeley National Laboratory.”

Supercomputing 102: The Toolbox of a Successful Computational Scientist

“Successful computational scientists are experts in both a scientific field, such as chemistry, physics, or astrophysics, knowledgeable about both mathematical representations and algorithmic implementations, and also specialize in developing and optimizing scientific application codes to run on computers, both large and small. A truly successful computational science investigation requires the “three A’s”: a compelling Application, the appropriate Algorithm, and the underlying Architecture.”