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March 1, 2008
NERSC hosted a recent Cray Technical Workshop, which included presentations from NERSC staff and scientists who have used Cray supercomputers for their research.
The workshop, which took place in San Francisco last month, featured Bill Kramer, Zhengji Zhao and Katie Antypas from NERSC. Kramer, NERSC’s General Manager, talked about the deployment of Franklin, the new Cray XT4 bought last year. Zhao, a consultant, discussed the performance of VAST on Franklin. VAST (Vienna Ab initio
Simulation Package) is a plane wave code for quantum mechanical dynamics. Antypas, another consultant, spoke about I/O benchmarks.
The workshop also presented the perspectives of Cray users. Julian Borrill from Berkeley Lab’s Computational Research Division spoke about his work on cosmic microwave background. Terry Ligocki, also from CRD, presented his work on adaptive mesh refinement scaling. Ji Qiang, from Berkeley Lab’s Accelerator and Fusion Research Division, talked about his work on large-scale accelerator modeling.
Two other NERSC users presented their research at the workshop. Zhihong Lin, a professor at UC Irvine, discussed his fusion research. Nick Wright from the San Diego Supercomputer Center talked about performance modeling’s role in ensuring the success of petascale computing.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, NERSC serves almost 10,000 scientists at national laboratories and universities researching a wide range of problems in climate, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.
