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Steady, Laminar Flow Between Parallel Plates01:17

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Shearing Stresses in a Beam: Problem Solving01:14

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Parallel computational steering for HPC applications using HDF5 files in distributed shared memory.

John Biddiscombe1, Jerome Soumagne, Guillaume Oger

  • 1CSCS Swiss National Supercomputing Centre, Galleria 2, Via Cantonale, Manno 6928, Switzerland. biddisco@cscs.ch

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|February 22, 2012
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Summary
This summary is machine-generated.

Supercomputers become interactive instruments by linking graphical user interface (GUI) analysis tools with high-performance computing (HPC) applications. This enables real-time simulation steering and data manipulation for complex scientific workflows.

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Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
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Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
11:19

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model

Published on: February 10, 2011

Area of Science:

  • Computational Science and Engineering
  • High-Performance Computing (HPC)
  • Scientific Visualization and Analysis

Background:

  • Traditional supercomputing workflows often involve batch processing, limiting interactive analysis and rapid parameter exploration.
  • Integrating visualization and analysis tools directly with HPC applications is challenging due to data transfer and synchronization issues.

Purpose of the Study:

  • To transform supercomputers into interactive instruments by enabling real-time visualization and analysis of simulation data.
  • To develop a flexible framework for concurrent parallel simulation and analysis, facilitating dynamic steering of scientific workflows.

Main Methods:

  • Replaced the Input/Output (IO) layer of the Hierarchical Data Format 5 (HDF5) library with a custom parallel data transfer driver.
  • Utilized ParaView as the graphical user interface (GUI) for concurrent parallel analysis, supporting flexible resource allocation for simulation and analysis.
  • Implemented a distributed shared memory file system for seamless bidirectional data flow between simulation and analysis components.
  • Developed an XML templating system to automatically generate GUI controls for simulation steering, eliminating manual customization.

Main Results:

  • Achieved parallel data transfer between simulation and analysis, allowing concurrent execution on the same or separate machines.
  • Enabled dynamic modification of simulation data, including parameter changes, grid remeshing, and field value regeneration, through the GUI.
  • Demonstrated the ability to reuse modified data within the simulation loop, creating a closed-loop interactive workflow.

Conclusions:

  • The developed framework effectively integrates HPC applications with GUI-driven analysis tools, turning supercomputers into interactive instruments.
  • This approach significantly enhances the flexibility and efficiency of scientific workflows by enabling real-time steering and data manipulation.
  • Automatic GUI generation using XML templates streamlines the process of adapting the interactive system to diverse simulation applications.