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Exascale Computational Engineering at Stanford


Professor Gianluca laccarino from Stanford presented this talk at the Stanford HPC Conference. “The Thermal & Fluid Sciences Affiliates Program (TFSA) is the industrial liaison program of the Thermosciences Group and Flow Physics and Computation Group of the Mechanical Engineering Department at Stanford University. The program was started over 45 years ago to establish and maintain close ties between the Stanford faculty and engineers in industry.”

Interview: Argonne Announces Training Program on Extreme-Scale Computing

Paul Messina, Director of Science at Argonne

“Systems like Argonne’s Mira, an IBM Blue Gene/Q system with nearly a million cores, can enable breakthroughs in science, but to use them productively requires expertise in computer architectures, parallel programming, mathematical software, data management and analysis, performance analysis tools, software engineering, and so on. Our training program exposes the participants to all those topics and provides hands-on exercises for experimenting with most of them.”

Insight into the Physics of Turbulence in Real and Canonical Flows


Ramesh Balakrishnan from Argonne presented this talk at the Stanford HPC Conference. “The main scientific challenge in fluid dynamics remains that of gaining better insight into the physics of turbulence and its role in the transfer of momentum, heat, and mass in engineering applications which include the aerodynamics of high lift devices, chemically reacting flows in combustion systems, such as combustors of jet engines, and the aeroacoustics of low and high speed flows.”

CORAL Collaboration to Deliver Three 200 Petaflop Systems in 2017


Lawrence Livermore National Lab has joined forces with Oak Ridge and Argonne to deliver next generation supercomputers able to perform up to 200 peak petaflops.

Leadership Computing for Combustion Apps on INCITE and PRACE Systems


“The INCITE and PRACE programs give access to increasing resources allowing these technologies to be applied to industrial scale systems. From past and ongoing research examples performed at CERFACS, this presentation highlights the scientific breakthroughs allowed by HPC on exascale machines for reacting flows for gas turbines and explosions in buildings.”

Radio Free HPC on The Exascale Report Acquisition


In this podcast, the Radio Free HPC team discusses the recent acquisition of The Exascale Report by insideHPC. “Exascale-level computing remains a daunting challenge that is still years away, and Rich is excited to take it on as an editorial focus. The good news is that he’ll be moving the publication away from its subscription model to make it free for all to read.”

South Africa Looks to Exascale

Thomas Sterling, Chief Scientist, Center for Extreme Scale Technologies (CREST), Indiana University-U.S.

Someday in the future, will we look back at South Africa as the birthplace of Exascale? With the bloom of HPC activity going on there in preparation the SKA telescope, don’t be surprised if it happens.

insideHPC Media Acquires The Exascale Report™


We are pleased to announce that insideHPC Media has completed the acquisition of the assets of The Exascale Report™, a subscription-based newsletter covering the topic of exascale-level computation and the race to achieve the next big milestone in scientific and technical computing.

The Push to Exascale

Julian Fielden

Over at TechRadar, Julian Fielden from OCF writes that the users faced with almost insurmountable energy and cooling challenges will likely avoid owning and housing their own Exascale computing facilities and look to the “cloud” and on-demand services provided by much larger international suppliers.

This Week in HPC: Jack Dongarra Talks Algorithms for Exascale


In this episode of This Week in HPC, Addison Snell and Michael Feldman from Intersect360 Research discuss a recent presentation on Exascale by Jack Dongarra from the University of Tennessee. After that, Addison and Michael preview Karlheinz Meier’s ISC’14 keynote on the topic of “Brain-derived computing beyond Von Neumann – achievements and challenges.”