] 2004 DOE SciDAC PI Meeting
  
  
    

Posters by First Author

  • Aleinov, Modeling dynamic vegetation for decadal to century climate change studies (pdf)
  • Allison, Collaboratory for Multi-scale Chemical Science (ppt)
  • Altintas, SDM Center's Scientific Workflow Environment (ppt)
  • Bailey, PERC Performance Science and Engineering (ppt)
  • Baraniuk, INCITE: Edge-based Traffic Processing & Service Inference for High-Performance Networks (ppt)
  • Bell, Simulation of Turbulent Premixed Combustion (pdf)
  • Bhattacharjee, Center for Magnetic Reconnection Studies
  • Brown, TSTT poster 1
  • Brown, TSTT poster 2
  • Candy, Electromagnetic gyrokinetics and plasma turbulence: numerical methods and optimizations in GYRO (pdf)
  • Cessi, The eddy-driven thermocline (pdf)
  • Ermler, Reliable Electronic Structure Calculations for Heavy Element Chemistry: Relativistic Pseudopotentionals for Applications to Lanthanide and Actinide Systems (doc)
  • Feng, CHEETAH: Circuit-switched High-speed End-to-End Transport Architecture (pdf)
  • Feng, MAGNET+MUSE: Software Oscilloscope for Clusters and Grids (pdf)", (The above poster is in support for the joint DOE SciDAC project entitled "INCITE" with PI: Baraniuk from Rice U.)
  • Feng, An Overview of High-Performance Networking & Computing at LANL (pdf)
  • Foster, DataGrid Middleware: Enabling Big Science on Big Data (ppt)
  • Fox-Rabinovitz, Variable-Resolution Models for Regional Climate Studies: International Stretched-Grid Model Intercomparison Project (SGMIP) (ppt)
  • Gannon, Middleware Technology to Support Science Portals: A Gateway to the Grid (pdf)
  • Gray, Advanced Software for the Calculation of Thermochemistry, Kinetics, and Dynamics (ppt)
  • Harrison, Advanced methods for electronic structure
  • Johnson, Modeling and Analysis of the Earth's Hydrologic Cycle (ppt)
  • Keyes, Integration of ODEs and DAEs
  • Keyes, Scalable Direct Methods
  • Keyes, Scalable Eigensolvers
  • Keyes, Scalable Solvers
  • Keyes, Simulation-based Optimization
  • Keyes, TOPS Project Overview
  • Keyes, Tuning for Hardware Performance
  • Keyes, Tuning for Algorithmic Performance
  • Kiang, A dynamic global vegetation model for coupling with atmospheric GCM's: Integrating processes of biophysics, biogeochemistry, and ecology for global change
  • Ko, Electromagnetic Systems Simulation I: Code Development and Accelerator Applications
  • Ko, Electromagnetic Systems Simulation II: Collaborations in Computational Science
  • Kramer, Enabling Large-Scale Science on the DOE Science Grid (pdf)
  • von Laszewski, Commodity Grid Kits (ppt)
  • Mezzacappa, Terascale Supernova Initiative (jpg)
  • Mezzacappa, TeraScale Supernova Initiative: Science and Science-Enabling Accomplishments (jpg)
  • Mount, Particle Physics Data Grid -- From Fabric to Physics (pdf)
  • Myers, Scientific Annotation Middleware (pdf)
  • Najm, A Computational Facility for Reacting Flow Science (ppt)
  • Negele, National Computational Infrastructure for Lattice Gauge Theory
  • Piecuch, New Single- and Multi-Reference Coupled-Cluster Methods For High Accuracy Calculations of Ground and Excited States
  • Pindzola, Computational Atomic and Molecular Physics for Transport Modeling of Fusion Plasmas (pdf)
  • Pitzer, Columbus Program System for Molecular Electronic Structure: Relativistic Quantum Chemistry Capabilities (ppt)
  • Post, The Coming Crisis in Computational Science (ppt) associated paper: (pdf)
  • Prusa, Continuous Dynamic Grid Adaptation in a Global Atmospheric Model (ppt | word)
  • Ringler, A Geodesic Climate Model with Quasi-Lagrangian Vertical Coordinates
  • Samtaney, Adaptive Mesh Refinement MHD for Magnetic Fusion Applications (ppt),
  • Schissel, National Fusion Collaboratory Project (pdf)
  • Scott, Scalable Systems Software: First Public Release
  • Thompson, Theoretical Chemical Dynamics Studies for Elementary Combustion Reactions (ppt)
  • Tuecke, Security and Policy for Group Collaboration (ppt)
  • von Laszewski, Commodity Grid Kits (ppt)
  • Wang, A Spectral Element Atmospheric Model for Multi-Resolution Climate Modeling (pdf)
  • Wu, SDM Center's Data Mining & Analysis (ppt)