MRI: Acquisition of a High Performance CPU-GPU Computer Cluster for Scientific Computing at U Sciences

Information

  • NSF Award
  • 1229564
Owner
  • Award Id
    1229564
  • Award Effective Date
    9/1/2012 - 11 years ago
  • Award Expiration Date
    8/31/2015 - 8 years ago
  • Award Amount
    $ 175,000.00
  • Award Instrument
    Standard Grant

MRI: Acquisition of a High Performance CPU-GPU Computer Cluster for Scientific Computing at U Sciences

With this award from the Major Research Instrumentation Program, Professor Preston Moore from University of the Sciences in Philadelphia and colleagues Michael Bruist, Randy Zauhar, Vojislava Pophristic and Zhijun Li will acquire a high performance CPU-GPU computer cluster. The proposal is aimed at enhancing research training and education at all levels, especially in areas such as (a) coarse grain molecular dynamics models to investigate complex interfacial systems such as solid/liquid interface and protein/lipid systems; (b) methodology and parameters for the prediction of arylamide foldamer structure to aid the design of foldamers; (c) molecular database and web accessible interface for computer aided drug design (CADD); (d) homology modeling of membrane proteins with low sequence identity; and (e) noncanonical base pairs in RNA loops and the role of conformational changes in protein-DNA complexes.<br/><br/>Computer systems and clusters of computers are used by chemists and biochemists to investigate reactions and the properties of chemicals and materials using theoretical models and programs. The computer calculations are used, often along with experimental data, to model and better understand many types of complex chemical and biological phenomena. They are also used to predict results and guide experiments. This resource will be used in research and in course work by undergraduate and graduate students as well as faculty training them in computational chemistry methodology with a modern computer system. Collaborations with local industries such as Y-Carbon will enhance the manufacturing of nanomaterials by design, which is essential to improving the U.S. manufacturing base of advanced materials. In addition, outreach programs for Philadelphia high schools and the community, which is predominately composed of underrepresented groups, will also use the cluster.

  • Program Officer
    Carlos A. Murillo
  • Min Amd Letter Date
    8/22/2012 - 11 years ago
  • Max Amd Letter Date
    8/22/2012 - 11 years ago
  • ARRA Amount

Institutions

  • Name
    University of the Sciences in Philadelphia
  • City
    Philadelphia
  • State
    PA
  • Country
    United States
  • Address
    600 South 43rd Street
  • Postal Code
    191044418
  • Phone Number
    2155967491

Investigators

  • First Name
    Randy
  • Last Name
    Zauhar
  • Email Address
    r.zauhar@usip.edu
  • Start Date
    8/22/2012 12:00:00 AM
  • First Name
    Zhijun
  • Last Name
    Li
  • Email Address
    z.li@usp.edu
  • Start Date
    8/22/2012 12:00:00 AM
  • First Name
    Michael
  • Last Name
    Bruist
  • Email Address
    m.bruist@usciences.edu
  • Start Date
    8/22/2012 12:00:00 AM
  • First Name
    Vojislava
  • Last Name
    Pophristic
  • Email Address
    v.pophri@usciences.edu
  • Start Date
    8/22/2012 12:00:00 AM
  • First Name
    Preston
  • Last Name
    Moore
  • Email Address
    p.moore@usciences.edu
  • Start Date
    8/22/2012 12:00:00 AM

Program Element

  • Text
    OFFICE OF MULTIDISCIPLINARY AC
  • Code
    1253

Program Reference

  • Text
    INSTRUMENTAT & INSTRUMENT DEVP
  • Code
    1108
  • Text
    MAJOR RESEARCH INSTRUMENTATION
  • Code
    1189
  • Text
    OFFICE OF MULTIDISCIPLINARY AC
  • Code
    1253
  • Text
    BIOLOGICAL CHEMISTRY
  • Code
    1982
  • Text
    NANO NON-SOLIC SCI & ENG AWD
  • Code
    7237
  • Text
    HIGH PERFORMANCE COMPUTING SYSTEMS
  • Code
    9215
  • Text
    ADVANCED SOFTWARE TECH & ALGOR
  • Code
    9216
  • Text
    COMPUTATIONAL SCIENCE & ENGING
  • Code
    9263
  • Text
    HIGH PERFORMANCE COMPUTING & COMM