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Kevin Barker to Lead CENATE Proving Ground for HPC Technologies

The CENATE Proving Ground for HPC Technologies at PNNL has named Kevin Barker as their new Director. “The goal of CENATE is to evaluate innovative and transformational technologies that will enable future DOE leadership class computing systems to accelerate scientific discovery,” said PNNL’s Laboratory Director Steven Ashby. “We will partner with major computing companies and leading researchers to co-design and test the leading-edge components and systems that will ultimately be used in future supercomputing platforms.”

Exascale Computing Project Selects Co-Design Center for Graph Analytics

The Exascale Computing Project (ECP) has selected its fifth Co-Design Center to focus on Graph Analytics — combinatorial (graph) kernels that play a crucial enabling role in many data analytic computing application areas as well as several ECP applications. Initially, the work will be a partnership among PNNL, Lawrence Berkeley National Laboratory, Sandia National Laboratories, and Purdue University.

Job of the Week: Research Scientist for HPC at PNNL

The Pacific Northwest National Laboratory (PNNL) is seeking a Research Scientist for High Performance Computing in our Job of the Week. “The HPC group is seeking a Scientist to actively participate in challenging software and hardware research projects that will impact future High Performance Computing systems as well as constituent technologies. In particular, the researcher will be involved in research into data analytics, large-scale computation, programming models, and introspective run-time systems. The successful researcher will join a vibrant research group whose core capabilities are in Modeling and Simulation, System Software and Applications, and Advanced Architectures.”

Edison Supercomputer Helps Find Roots of MJO Modeling Mismatches

The MJO occurs on its own timetable—every 30 to 60 days—but its worldwide impact spurs scientists to unlock its secrets. The ultimate answer? Timely preparation for the precipitation havoc it brings—and insight into how it will behave when pressured by a warming climate.

PNNL Launches CENATE Computing Proving Ground

Pacific Northwest National Laboratory has opened the CENATE Center for Advanced Technology Evaluation, a first-of-its-kind computing proving ground. Designed to shape future extreme-scale computing systems, CENATE evaluations will mostly concern processors; memory; networks; storage; input/output; and the physical aspects of certain systems, such as sizing and thermal effects.

PNNL Installs Data Vortex System

Today Data Vortex Technologies announced that the company has sold and delivered a DV205 system, “PEPSY”, to the Pacific Northwest National Laboratory (PNNL). PEPSY is specifically designed to solve problems requiring extensive processor-to-processor communication in parallel computing systems.

Job of the Week: HPC Research Scientist at PNNL

The Pacific Northwest National Laboratory in Richland, WA is seeking an HPC Research Scientist in our Job of the Week.

Dr. Steven Ashby Named Director of PNNL

Today Battelle announced the appointment of Dr. Steven Ashby as Laboratory Director for Pacific Northwest National Laboratory (PNNL).

PNNL Simulations Point to Accelerating Climate Change

“An analysis of changes to the climate that occur over several decades suggests that these changes are happening faster than historical levels and are starting to speed up. The Earth is now entering a period of changing climate that will likely be faster than what’s occurred naturally over the last thousand years, according to a new paper in Nature Climate Change, committing people to live through and adapt to a warming world.”

Interview: Advancing Computational Chemistry with NWChem

“The notion of High Performance Computing is evolving over time. So what was deemed a leadership class computer five years ago is a little bit obsolete. We are talking about the evolution not only in the hardware but also in the programming models because there are more and more cores available. Orchestrating the calculations in the way that can effectively take advantage of parallelism takes a lot of thinking and a lot of redesign of the algorithms behind the calculations.”