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Video: Opening Frontiers – Extreme Capability Computing at LLNL

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Fred Streitz presented this talk at the DOE Computational Science Graduate Fellowship Review. Streitz leads efforts to develop HPC applications that push the limits of leadership-class computational capability to address forefront scientific problems. His current focus, as Director of the HPC Innovation Center, is broadening the use of high performance computing by U.S. industry to promote global competitiveness.

Paul Messina Named Argonne Distinguished Fellow

Paul Messina, director of science for the Argonne Leadership Computing Facility

HPC pioneer Paul Messina has been named an Argonne National Laboratory Distinguished Fellow, the laboratory’s highest scientific and engineering rank.

House Passes Exascale Bill to Support Next Generation Computing

Rep. Randy Hultgren

The House of Representatives has passed the American Super Computing Leadership Act of 2014 (H.R. 2495).

UK Research to get New National Datacenter

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A new datacenter funded by HEFCE will provide HPC to a consortium of UK universities and research institutes under a five-year agreement.

NERSC Announces Exascale Science Application Program Projects

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NERSC has accepted a selection of key DOE science projects into its NERSC Exascale Scientific Applications Program, a collaborative effort in which NERSC will partner with code teams to prepare for the NERSC-8 Cori manycore architecture. NESAP represents an important opportunity for researchers to prepare application codes for the new architecture and to help advance […]

MVAPICH: Still Saving the World – Now Even Faster

Adam Moody, LLNL

“MPI is in the national interest. The U.S. government tasks Lawrence Livermore National Laboratory with solving the nation’s and the world’s most difficult problems. This ranges from global security, disaster response and planning, drug discovery, energy production, and climate change to name a few. To meet this challenge, LLNL scientists utilize large-scale computer simulations on Linux clusters with Infiniband networks. As such, MVAPICH serves a critical role in this effort. In this talk, I will highlight some of this recent work that MVAPICH has enabled.”

Inside the Sequoia Supercomputer at LLNL

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IBM Sequoia is a petascale Blue Gene/Q supercomputer constructed by IBM for the National Nuclear Security Administration as part of the Advanced Simulation and Computing Program (ASC). It was delivered to the LLNL in 2011 and was fully deployed in June 2012. Sequoia is #3 on the TOP500 ranking of June 2014.

This Week in HPC: Cray Creates GPU Heavy Server Node and New Exascale Recommendations for the DOE

this week in hpc

In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss the new Cray CS-Storm supercomputer based on Nvidia GPUs. After that, the discussion turns to exascale investment recommendations coming out of a new report from a Department of Energy Task Force.

Video: Preparing Your Application for Advanced Manycore Architectures

Katie Antypas,
Services Department Head, National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory

“Confronting power limitations and the high cost of data movement, new supercomputing architectures within the DOE are requiring users make changes to application codes to achieve high performance. More specifically, users will need to exploit greater on-node parallelism and longer vector units, and restructure code to take advantage of memory locality. In this presentation you will learn about coming architectural trends and what you can do now to start preparing your application.”

DOE Task Force Releases Recommendations for Exascale Investment

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A new report on the problems and opportunities that will drive the need for next generation HPC has been released by the Task Force on High Performance Computing of Secretary of Energy Advisory Board. Commissioned by Secretary of Energy, Dr. Ernest J. Moniz, the report includes recommendations as to where the DOE and the NNSA should invest to deliver the next class of leading edge machines by the middle of the next decade.