Get ServicesHigh Performance Computing >  Applications Enabled on TCG@NUS Grid

The following applications have been enabled on TCG@NUS:

Name Description

AutoDock

Tool for automated docking of flexible Ligands to Macromolecules

BLAST

Tool for comparing nucleotide or protein sequences to databases & calculating the statistical significance of matches

HMMER

A sequence analysis tool using profile hidden Markov models

MODELLER

A program for comparative protein structure modeling by satisfaction of spatial restraints

Parametric

A computer program to run many times with different input parameters

PovRay

A high-quality tool for creating stunning 3D graphics

Applications Performance on TCG@NUS Grid

The Cycle Harvesting Grid is most suitable for running data parallel and parametric study type of applications. Application areas include the Life Science/Bioinformatics Research, Financial/Statistical Computation and Digital/Image Processing and other Computational Science and Engineering research.

  1. Image Rendering/Processing
    • Application software: POVRay
    • Render a 1024x768 pixel image by Mark Slone
      • Took one day and 20 hours to complete on a Dell 3GHz PC.
      • Took about 100 mins to complete on 100 computers in TCG@NUS.
    • Speedup: About 20 times faster.

  2. Comparative Modelling of Protein Structures
    • Application software: Modeller
    • Run 9999 jobs consisting of protein sequences with about 200 amino acid residues
      • Took 42 days to complete on a 600MHz PC.
      • Took about 3 days to complete on 100 computers in TCG@NUS.
    • Speedup: About 14 times faster.

  3. Protein Level Sequence Matching
    • Application software: tblast
    • 22K sequences have to be searched against 3,461,799 sequences
      • Estimated to take about a month to complete on a 16-CPU server.
      • Took 20.5 hrs compute time on TCG@NUS and 13 hrs reassembly time on a standalone PC.
    • Speedup: About 20 times (320 times with reference to a single CPU).

  4. Large Scale High Accuracy Queue Simulation
    • Application software: own code
    • High accuracy numerical analysis for typical queues modeled as Markov chgins with infinite states.
      • Estimated to take about 100 days to complete on a desktop computer.
      • Took a few days compute time on TCG@NUS with about 500 computers connected actively.
    • Speedup: About 20 times (312 times for some jobs).

Grid Enabled Application Software

Besides POVRay (http://www.povray.org/), Blast (http://blast.ncbi.nlm.nih.gov/Blast.cgi), Hmmer (http://hmmer.wustl.edu/) and AutoDock (http://www.scripps.edu/mb/olson/doc/autodock) other software packages that have been Grid-enabled on the Univa UD Grid MP Platform (but have not been installed on the TCG@NUS) include:

  • Gold: Drug discovery - protein docking, to identify drug candidates.(http://www.ccdc.cam.ac.uk/products/life_sciences/gold/)
  • Modeller: Bioinformatics - comparative protein structure modeling by satisfaction of spatial restraints, used for homology or comparative modeling of protein 3D structures. (http://salilab.org/modeller/)
  • LigandFit: Drug discovery - protein docking. (http://www.grid.org/projects/cancer/ligandfit.htm)
  • FlexX: Drug discovery - for predicting receptor-ligand interactions. (http://www.biosolveit.de/FlexX/)
  • Archimedes: Simulation tool for healthcare - ?virtual patients?and drug effects. (http://www.kpcmi.org/media/archimedesqa.html)
  • FRED: Drug discovery. (http://www.eyesopen.com/products/applications/fred.html)
  • Glide: Drug discovery. (http://www.schrodinger.com/Products/glide.html)
  • Amber: Drug discovery - molecular modeling and simulation. (http://amber.scripps.edu/)
  • Rosetta: Bioinformatics - genomic sequencer. (http://www.rosettabio.com/)
  • Winbugs: Bayesian inference on complex statistical problems. (http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml)
  • Excel: Perform analytics - Monte Carlo simulations.

NUS researchers are welcome to propose the application software they would like to run on the Cycle Harvesting Grid. We will provide the resources to help Grid-enable both the suitable open-source and in-house developed applications. Please feel free to contact us at .

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