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SciDAC Meeting to Showcase LBNL’s Leadership in Projects

May 1, 2005

Since DOE launched its Scientific Discovery through Advanced Computing (SciDAC) program in 2001, scientists at Berkeley Lab have led a number of the projects and provided strong support for many others.

When the annual SciDAC meeting is held June 26–30 in San Francisco, LBNL’s con- tributions to the success of the program will be highlighted via invited talks, panel dis- cussions and poster presentations. Here is a rundown of Berkeley Lab contributions to the meeting program.

Invited talks:

• “Spatial Modeling in Systems Biology,” Phil Colella, CRD • “New Approaches to Fast Electron Correlation Methods,” Martin Head- Gordon, Chemical Sciences Division/UC Berkeley

• “Numerical Simulation of Laboratory- Scale Premixed Turbulent Flames,” Marc Day, CRD

• “The Future of Numerical Linear Algebra Libraries, Automatic Tuning of Sparse Matrix Codes, the Next LAPACK and ScaLAPACK,” Jim Demmel, CRD/UC Berkeley • “Solving Large-Scale Eigenvalue Problems in SciDAC Applications,” Chao Yang, CRD

Poster presentations:

“SciDAC Advances and Applications in Computational Beam Dynamics,” Robert Ryne, Accelerator and Fusion Research Division

 • “Cartesian Grid Embedded Boundary Methods for Problems with Complex Geometries,” Daniel Graves, CRD

• “The Roles of Sparse Direct Methods in Large-Scale Simulations,” Xiaoye “Sherry” Li, CRD

• “Adaptive Mesh Refinement for Particle-in-Cell Methods,” David Serafini, CRD

• “An Efficient Indexing Technology for Accelerating Data Intensive Science,” Kesheng “John” Wu, CRD

Panel presentations:

• Rob Ryne of LBNL’s Accelerator and Fusion Research Division will present the High Energy/Nuclear Physics perspective in a panel discussing “SciDAC II: The Shape of Things to Come.”

• Lenny Oliker of CRD will discuss “The NERSC Benchmark Suite” in a panel session looking at “SciDAC II: Perspectives on Hardware and Software Infrastructure.”


About Computing Sciences at Berkeley Lab

High performance computing plays a critical role in scientific discovery. Researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.