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Video: Mellanox Launches Spectrum 25/100 Gigabit Open Ethernet Switch


In this video, Mellanox launches their new 100G end-to-end Ethernet solutions in New York City.

Video: Introduction to XSEDE 2.0 and Beyond

John Towns, NCSA

This presentation will briefly review XSEDE, its past mission and accomplishments, and give insight into the direction and vision for the second round of XSEDE.

Ed Seidel Presents: Supercomputing in an Era of Big Data and Big Collaboration


“Supercomputing has reached a level of maturity and capability where many areas of science and engineering are not only advancing rapidly due to computing power, they cannot progress without it. I will illustrate examples from NCSA’s Blue Waters supercomputer, and from major data-intensive projects including the Large Synoptic Survey Telescope, and give thoughts on what will be needed going forward.”

Video: The Great Leap (Computing the Uncomputable Climate System)

Bjorn Stevens from the Max-Planck-Institute

“Increasing computational power and advances in algorithms have made it possible to resolve an ever increasing fraction of the scales of atmospheric motion. While it remains inconceivable to resolve all the relevant scales of motion we are currently in the midst of a great leap across a range of scales that have posed some of the greatest challenges to climate science over the past sixty years. This leap is bringing wholly new insights into the structure of the climate system on both ends of the spectrum of atmospheric motions.”

Industrial Computational Breakthroughs on Blue Waters


“Blue Waters can tackle a very wide range of challenging tasks, not only from science, but also from engineering demonstrating the feasibility of efficiently solving extreme size real world multi-physics problems on the peta-scale and potentially exa-scale level, and thus adding tremendous value to future engineering simulation and research.”

Video: Mont-Blanc Prototype One Step Closer to Exascale


“Early in February, Barcelona Supercomputing Center (BSC) successfully deployed the Mont-Blanc prototype. After three years of intensive research effort, the team installed a two-rack prototype which is now available to the Mont-Blanc consortium partners. This has been a formidable challenge as this is the first time that a large HPC system based on mobile embedded technology has been deployed and made fully operational to a scientific community composed of scientists of six of the most important research centers in Europe.”

GPU Accelerated Quantum Chemistry: A New Method


“The ability to accurately and efficiently study the absorption spectra of large chemical systems necessitates the development of new algorithms and the use of different architectures. We have developed a highly parallelizable algorithm in order to study excited state properties with ab initio electronic structure theory. This approach has recently been implemented to take advantage of graphical processing units to further improve efficiency.”

Video: Algorithmic Adaptations to Extreme Scale

David Keyes, KAUST

“Algorithmic adaptations are required to use anticipated exascale hardware near its potential, since the code base has been engineered to squeeze out flops. Instead, algorithms must now squeeze out synchronizations, memory, and transfers, while extra flops on locally cacheable data represent small costs in time and energy.”

Video: From Megaflop to Petaflop and Beyond

Arden L. Bement

“Over the three decades supercomputer throughput rates have increased dramatically from 100s of MFLOPs in 1985 to tens of PFLOPS today, making U.S. universities pre-eminent in the world in computational S&E, which is a tribute to both NSF and Centers’ dedication and leadership. Looking ahead to the impacts of synaptic computing, high-performance computing coupled with data analysis, and cloud computing coupled with the Internet of Things (IOT), the challenges and opportunities in computational S&E in all sectors of U.S. Society is projected to advance dramatically.”

Video: Towards Exascale Simulation of Turbulent Combustion

Jacqueline Chen, Sandia

“Exascale computing will enable combustion simulations in parameter regimes relevant to next-generation combustors burning alternative fuels. The first principles direct numerical simulations (DNS) are needed to provide the underlying science base required to develop vastly more accurate predictive combustion models used ultimately to design fuel efficient, clean burning vehicles, planes, and power plants for electricity generation.”