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CEA Teams With Atos to Develop Exaflop Supercomputer


Today Atos announced a contract with the CEA French Alternative Energies and Atomic Energy Commission develop a 25 Petaflop supercomputer. Called Tera1000, the new supercomputer will serve as a prototype for a follow-on exascale system.

Top HPC Centers Meet in Barcelona at JLESC

JLESC 2015: 3rd Joint Laboratory for Extreme-Scale Computing

Top researchers from six of the largest supercomputing centers got together in Barcelona at the beginning of this month for the Joint Laboratory for Extreme‐Scale Computing (JLESC) to discuss the challenges for future supercomputers.

Trends in HPC Leading to Exascale

Bill Nitzburg, Altair

Over at the Altair Blog, Bill Nitzberg has started a series of posts looking at the road to Exascale. He starts by looking back at the trends that have lead us to this point, concluding that Exascale infrastructure will require advances in four areas: scale, speed, resilience, and power management.

Time to Unite Exascale and Big Data


In this video, Dan Reed from the University of Iowa describes the era of Exascale Computing and Big Data. In a recent paper co-authored with Jack Dongarra, Reed makes an impassioned plea for hardware and software integration and cultural convergence.

Video: Satoshi Matsuoka on HPC Trends from PASC15

Dr. Satoshi Matsuoka, University of Tokyo

In this video from PASC15, Torsten Hoefler from ETH Zurich discusses HPC trends with Satoshi Matsuoka from the Tokyo Institute of Technology. Along the way, Matsuoka describes lessons learned during this multi-disciplinary conference about application requirements on the road to exascale.

ISC 2015 Interview: Programming Models on the Road to Exascale

Dr. Michèle Weiland, EPCC

ISC 2015 will host a number of sessions on Exascale computing next month in Frankfurt. In what looks to be one of the highlights of the conference, Bill Gropp, Georg Hager, and Paul Kelly will discuss Programming Models on the Road to Exascale. To learn more, we caught up with the Session Chair, Dr Michèle Weiland, who serves as a Project Manager at the EPCC supercomputing center at the University of Edinburgh.

Will Europe be First to Exascale?


“The strengths and the limitations of Europe’s supercomputing strategy were laid out at the PRACEDdays15 conference in Dublin at the end of May, with the minds of many delegates concentrated by the announcement in the USA over the course of the past few months of the $425 million ‘Coral’ procurement, intended to develop supercomputers that will leapfrog the international competition and open up the way to an Exascale machine.”

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.”

Slidecast: UCX – Unified Communication X Framework


In this slidecast, Pavel Shamis from ORNL and Gilad Shainer from Mellanox announce the UCX Unified Communication X Framework. “UCX is a collaboration between industry, laboratories, and academia to create an open-source production grade communication framework for data centric and HPC applications.”

PNNL Looks at Undervolting to Meet Exascale Goals

Figure depicting the general constraints at scale for building exascale architectures. The undervolting component (shown in 4) is part of ongoing work that PNNL’s HPC group and their collaborators are conducting in the effort to build highly resilient and energy-efficient HPC systems.

PNNL researchers are using supercomputers to take on two of the main challenges of exascale: energy efficiency and resiliency. Their simulations show that dynamic voltage scaling, also known as undervolting, can reduce power consumption and leverage existing mainstream resilience techniques at scale for improving system failure rates.