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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...

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Related Experiment Videos

Execution of the SimSET Monte Carlo PET/SPECT simulator in the condor distributed computing environment.

Karl G Baum1, María Helguera

  • 1Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, 54 Lomb Memorial Dr., Rochester, NY 14623, USA. kgb5056@rit.edu

Journal of Digital Imaging
|August 11, 2007
PubMed
Summary

This study demonstrates how to run SimSET (Simulation of Emission Tometry) simulations on the Condor distributed computing environment. This approach reduces simulation run times by utilizing idle desktop workstations without modifying the original software.

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Area of Science:

  • Medical Physics
  • Computational Science

Background:

  • SimSET is a widely used software package for simulating emission tomography data.
  • Running complex simulations requires significant computational resources, often limiting accessibility for research facilities.
  • Distributed computing environments like Condor offer a potential solution for leveraging underutilized computational power.

Purpose of the Study:

  • To present a method for executing SimSET simulations on the Condor distributed computing environment.
  • To enable research facilities to reduce SimSET simulation run times by utilizing idle desktop workstations.
  • To provide a guide for implementing this approach in other distributed computing environments.

Main Methods:

  • Developed simple C/C++ applications and shell scripts to interface SimSET with Condor.
  • Executed multiple instances of SimSET without modifying the original software.
  • Utilized SimSET's combinebin utility for data aggregation.

Main Results:

  • Successfully executed SimSET on the Condor environment, demonstrating feasibility.
  • Achieved significant reductions in simulation run times by leveraging distributed desktop workstations.
  • Provided sample results showcasing the effectiveness of the implemented approach.

Conclusions:

  • The integration of SimSET with Condor provides a cost-effective solution for accelerating emission tomography simulations.
  • Research facilities can enhance their simulation capabilities by utilizing existing, idle computational resources.
  • The presented methodology is adaptable to other distributed computing environments, promoting wider adoption.