Argonne National Laboratory

 

Coordinator: Dr. Raymond Bair, Director
Laboratory Computing Resource Center
E-mail: bair@mcs.anl.gov
Phone: (630) 252-5751
Fax: (630) 252-2828
Address:

Leadership Computing Facility
Building 360
9700 South Cass Ave
Argonne, Illinois 60439
   
Abstracts of Current and Past Fellows During Practicum Experience

 

Argonne National Laboratory is a multidisciplinary laboratory conducting basic research in the physical, biological, and engineering sciences and applied research relating to environmental and energy technologies.  Approximately two thousand research scientists and engineers are involved in these programs.

A key element of Argonne’s scientific activities, the Mathematics and Computer Science Division maintains an advanced computing research facility, which features a 2,048 processor IBM BlueGene/L system (BGL) and a 512-processor Linux cluster for systems and software research (Chiba City), and a 350-compute node Linux system (Jazz) for production computing.  Argonne also leads the TeraGrid Extensible Terascale Facility, with 16 high performance systems at 8 sites across the country, including a high end visualization facility at Argonne.

In addition, Argonne maintains a Futures Laboratory, which includes an ActiveMural (an 11 million pixel large-format tiled display), several smaller tiled displays, and numerous Access Grid nodes for group-to-group collaboration.  Moreover, Argonne operates a Distributed Systems Laboratory, which focuses on leading-edge research in Grid computing.

Qualified graduate students may use these Laboratory resources during the course of their research.  Various projects are available for fellowship students in many areas of basic science, including the following:

Biology

functional genomics, genome sequence analysis, metabolic reconstruction, structural biology

Chemistry and Chemical Technologies

computational quantum chemistry, chemical kinetics

Climate Modeling

climate model development, design of coupled modeling software, atmospheric carbon dioxide distribution

Combustion

combustion chemistry, device-scale modeling, turbulent combustion

Materials Science and Nanoscience

vortex dynamics, molecular dynamics, superconductivity, nanoscale photonics, electronics and magnetism

Mathematics and Computer Science

computational grids, parallel tools, scalable I/O, subsurface modeling, complex systems, performance modeling

Physics and Astrophysics

Monte Carlo methods in nuclear physics, numerical simulations of thermonuclear flashes

To learn more about research opportunities at Argonne, we invite you to see the summaries of recent computational science projects conducted by LANS researchers and summaries of many other projects by computational scientists across the Laboratory (See LCRC Annual Report).

 

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