Cyberinfrastructure Laboratory
Ubiquitous High-End Computing, Data,
Networking, & Visualization

Dr. Russ Miller
UB Distinguished Professor

CI Lab

Home
Biography
Photos/Videos
Media Coverage
Research
Results
Publications
Presentations
SnB
Grids
CI Lab
Overview
Equipment
Documentation
Projects
News
Publications
Personnel
WNY/NYS Grid
Collaborations
Location
CCR
Teaching
Personal Info
Contact Info

Projects

Funding. To date, funding for these projects has been provided by an NSF ITR Award (SnB on the Grid; Grid Application Templates; Transparent Data Collection on the Grid; Grid Monitoring; Grid Portals) and an NSF CRI Award (Western New York Grid). Appropriations for some critical resources have been provided by Gov. Pataki, Congressman Reynolds, and Senator Clinton. Further, a wide variety of support has been provided by the Center for Computational Research.

Fundamental Research

  • Core Grid Technology, including the development of secure and high-performance grid technologies that allow for the integration of high-end computers, data, networking, and visualization, as well as sensors, imaging devices, and databases.
  • Grid Computing Technology, including the identification and solution of research and development projects, the implementation of grid technologies, dynamic resource classification for fast processing on homogeneous parallel platforms, and the distributed computation for individual computation tasks on heterogeneous platforms.
  • Data Grid Technology, including the development of technology for building a common core database platform on the grid, the development of distributed search technology utilizing heterogeneous databases, large-scale distributed text searching, and intelligent storage controller development.
  • Remote Data Collection Technology, including remote data collection, analysis, and sharing utilizing high-performance networks and experimental devices, the remote interaction with high-performance sensors, and the remote collection system for protein crystallographic structure analysis.

The Cyberinfrastructure Laboratory has enabled the successful porting and implementation of numerous applications to the grid environment.

  • Shake-and-Bake(SnB) - Molecular Structure Determination Application
  • Buffalo-and-Pittsburgh (BnP) - SnB and PHASES Complete Protein Phasing
  • Ostrich - Optimization and Parameter Estimation Tool for Groundwater Modeling
  • Aseismic Design & Retrofit (EADR) - Passive Energy Dissipation System for Designing Earthquake Resilient Structures
  • Princeton Ocean Model Great Lakes (POMGL) - Great Lakes Hydrodynamic Circulation Model
  • Titan - Computational Modeling of Hazardous Geophysical Mass Flows
  • Chem - Commercial Quantum Chemistry Software Package
  • NWChem - Computational Chemistry Software Package developed and maintained by DOE
  • Split - Modeling Groundwater Flow with the Analytic Element Method

The Cyberinfrastructure Laboratory fosters grid-based collaborations worldwide

  • ACDC-Grid, which was the Buffalo-based grid that was used as a testbed for developing grid-enabling application templates, grid monitoring, grid portals, the integration of data and computational grids, the porting of Shake-and-Bake to the grid, experimentation with a variety of "standard" grid and NMI packages, and so forth.
  • Western New York Grid
  • New York State Grid
  • Grid3: An Application Grid Laboratory for Science Participants (10/2003)
    • National Laboratories and Supercomputing Centers: Argonne, Brookhaven, Fermi National Accelerator Laboratory (FNAL), National Energy Research Scientific Computing Center, San Diego Supercomputing Center (SDSC), UB Center for Computational Research
    • Universities: Boston, Caltech, Chicago, Florida/Gainesville, Florida International, Hampton, Indiana, Iowa, Johns Hopkins, Michigan, New Mexico, Oklahoma, Penn State, Purdue, Rice, Southern Methodist, Texas/Arlington, Wisconsin/Madison, Wisconsin/Milwaukee, UC San Diego, Vanderbilt
    • International Universities: Academia Sinica (Taiwan), Kyungpook National University (Korea), National Technological University (Taiwan)
  • Open Science Grid
Note: This material is based upon work supported by the National Science Foundation under Grant Nos. 0204918 and 0454114.

Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.