On the Path to Exascale

On the Path to Exascale

Ken Alvin (Sandia National Laboratories, USA), Brian Barrett (Sandia National Laboratories, USA), Ron Brightwell (Sandia National Laboratories, USA), Sudip Dosanjh (Sandia National Laboratories, USA), Al Geist (Oak Ridge National Laboratory, USA), Scott Hemmert (Sandia National Laboratories, USA), Michael Heroux (Sandia National Laboratories, USA), Doug Kothe (Oak Ridge National Laboratory, USA), Richard Murphy (Sandia National Laboratories, USA), Jeff Nichols (Oak Ridge National Laboratory, USA), Ron Oldfield (Sandia National Laboratories, USA), Arun Rodrigues (Sandia National Laboratories, USA) and Jeffrey S. Vetter (Oak Ridge National Laboratory, USA)
Copyright: © 2010 |Pages: 22
DOI: 10.4018/jdst.2010040101
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There is considerable interest in achieving a 1000 fold increase in supercomputing power in the next decade, but the challenges are formidable. In this paper, the authors discuss some of the driving science and security applications that require Exascale computing (a million, trillion operations per second). Key architectural challenges include power, memory, interconnection networks and resilience. The paper summarizes ongoing research aimed at overcoming these hurdles. Topics of interest are architecture aware and scalable algorithms, system simulation, 3D integration, new approaches to system-directed resilience and new benchmarks. Although significant progress is being made, a broader international program is needed.
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Key areas of scientific research, including materials science, Earth science, energy assurance, fundamental science, biology and medicine, engineering design, and security can benefit from continued growth in high performance computing (to Exascale and beyond). Table 1 summarizes scientific opportunities that can be enabled by Exascale computing, key application areas, and the goals and associated benefits.

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