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Nanomaterial applications for computational Grid

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Study of New Physical Phenomena in nano-scale. Improve R & D efficiency in the Grid ... Improve the accuracy by combining ab initio simulation methods (VASP) ... – PowerPoint PPT presentation

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Title: Nanomaterial applications for computational Grid


1
Nano-material applications for computational Grid
Hongsuk Yi Supercomputing Center KISTI
2
Objective of 2003
  • Installation of Nano-material application (VASP)
    program on Unix/Linux Clusters
  • Installation of Globus, MPICH-G2, Open PBS on 16
    CPU cluster
  • Installation of VASP, Intel F90 Compiler, PGF90
    compiler
  • Development of Globus linked application programs
  • Test of parallel versions of VASP
  • Implement New Materials Design Systems based on
    High Throughput Computing Grid computations
  • Collaboration with PSE research team sharing R
    D informations
  • Development of HTC Grid Web Portal Site

3
Scope of Nano-material Grid Project
  • Construction of computational Nano-material
    systems for computational Grid
  • Demonstrate HTC (High Throughput Computing)
    capability on various computing systems including
    KISTI Grid Testbed
  • Scalability study for the HPC (High Performance
    Computing) performance with the KISTI Grid
    Testbed
  • Study of New Physical Phenomena in nano-scale.
  • Improve R D efficiency in the Grid system
  • Developing programs for the job distribution in
    grid
  • Construction of new problem solving environment

4
Road map of Nano-material computational Grid
  • Nano-Simulation from HPC to HTC Grid

System Size
5
Grid Activities
6
High Performance Comuting Challenges
  • Potential Energy Surface of Semiconductors
  • Improve the accuracy by combining ab initio
    simulation methods (VASP)
  • HPC Challenge problems setting and Performance
    evaluation using the GridRPC and/or Pacx-MPI
    parallelization methods

7
High Performance Computing
  • VASP requires a very fast network speed
  • Change from HPC to HTC

8
Potential Energy Surface of K/InAs(110) surface
9
Partitioning Applicationfor Grid Computing
High-Throughput Computing on KISTI Grid Testbed
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