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Earthquake Simulation Breaks Petaflop Barrier on SuperMUC


A team of computer scientists, mathematicians and geophysicists have pushed the performance of the SeisSol earthquake simulation software on the SuperMUC computer at the Leibniz Supercomputing Center to beyond one petaflop, a factor of five improvement in speed.

Podcast: Lustre with Multilevel Security – the New ClusterStor Secure Data Appliance


“The ClusterStor SDA represents an industry first, combining low level data access enforcement and logging mechanisms, purpose-built within a proven HPC and Big Data single-system solution. Since our customers need to know exactly who is doing what on their systems, as well as access to complete and explicit audit trails, the ClusterStor SDA delivers all the necessary tools and support to collaboratively share information, while strictly complying with security data protection standards.”

The RFP is out for FastForward 2 Extreme Scale Technologies


The DOE Office of Science and the National Nuclear Security Administration has issued a Request for Proposals to further develop “extreme scale” supercomputer technology.

Russia Offers Collaboration with India to Counter Chinese Supercomputing


Over at The Economic Times, Peerzada Abrar writes that Russian supercomputing vendor RSC group and the Russian Academy of Sciences have proposed a collaboration with India to develop supercomputing facilities that will rival China’s Tianhe-2, the world’s fastest supercomputer.

Interview: Steve Conway on the Upcoming HPC User Forum–April 7-9


“The main topics for our April 7-9 meeting in Santa Fe are industrial partnerships with large HPC centers and how they’re working, with perspectives from the U.S., France and the UK. We’ll also take another hard look at what’s happening with processors, coprocessors and accelerators and at potential disruptive technologies, as well as zeroing in on the HPC storage market and trends and the CORAL procurement that involves Oak Ridge, Argonne and Livermore.”

Leveraging National Computing Resources for Simulation-based Discovery


Frank Ham from Cascade Technologies presented this talk at the 2014 HPCAC Stanford HPC & Exascale Conference. “On an annual basis, the US government awards 10′s of billions of HPC core-hours to projects seeking to answer questions in science and engineering through large-scale simulations. In this talk, I will share several examples of insights into flow physics phenomena achieved through these programs.”

Co-Design of Exascale Simulation of Combustion in Turbulence (ExaCT)


Jacqueline H. Chen from Sandia presented this talk at the Stanford HPC Conference. “Co-Design of Exascale Simulation of Combustion in Turbulence (ExaCT). “The mission of co-design within the Center for Exascale Simulation of Combustion in Turbulence (ExaCT) is to absorb the sweeping changes necessary for exascale computing into software and ensure that the hardware is developed to meet the requirements to perform direct numerial simulations of turbulent combustion at actual thermo-chemical conditions of combustors.”

An Update on the European Exascale Software Initiative


Philippe Ricoux from Total presented this talk at the Stanford HPC Conference. “The objective of this Support Action, co-funded by the European Commission is to build a european vision and roadmap to address the challenges of the new generation of massively parallel systems composed of millions of heterogeneous cores which will provide multi-Petaflop performances in the next few years and Exaflop performances in 2020.”

CRESTA Project Focuses on “Deep 6″ Applications for Exascale


Over at the Cray Blog, Jason Beech-Brandt writes that the European CRESTA project is focusing on six applications with exascale potential.

This Week in HPC: Cray Bags Big DoD Money and SGI Lines up Big Data Solutions


In this episode of This Week in HPC, Addison Snell and Michael Feldman from Intersect360 Research look at Cray’s recent big win at the Department of Defense and the launch of the Edison supercomputer at NERSC. After that, they discuss SGI’s new Big Data alliance with Cognilytics.