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MARC CLUSTER BENCHMARK

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MARC CLUSTER BENCHMARK Non-Linear Analysis of a Suspension Knuckle using MSC Marc 2003 DDM Benchmark Summary For the current benchmark part, it would appear that 4 ... – PowerPoint PPT presentation

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Title: MARC CLUSTER BENCHMARK


1
MARC CLUSTER BENCHMARK
  • Non-Linear Analysis
  • of a
  • Suspension Knuckle
  • using
  • MSC Marc 2003 DDM

2
HP J6700 1 CPU Solve Time 1326 Baseline Time
3
Linux Cluster 2 CPUs Solve Time 520 Speed-Up
2.5X
4
Linux Cluster 4 CPUs Solve Time 307 Speed-Up
4.3X
5
Linux Cluster 8 CPUs Solve Time 151 Speed-Up
7.3X
6
Linux Cluster 16 CPUs Solve Time 103 Speed-Up
12.8X
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Benchmark Summary
  • For the current benchmark part, it would appear
    that 4 CPUs provides optimal solution time vs
    computing resources being utilized. However, it
    should be expected that different types of
    non-linear simulations will yield varying
    performance curves and require different numbers
    of CPUs due to the diverse nature of non-linear
    problems.
  • While not difficult, submission of Marc
    simulations to the cluster is not currently as
    simple as pushing go. There are a number of
    variables that have to be configured to ensure a
    successful run that yields results rather than
    errors. We are working on a more efficient way to
    accomplish this task. A cookbook approach if
    you will
  • Irregardless of the number of processors or the
    computing platform used, the resultant stress
    value was always the same (274 Mpa) and in the
    same location. No deviation in accuracy was
    detected.
  • There seems to currently be a bug in the Linux
    version of the Mentat Pre-processing software.
    The HP version had to be used to create the input
    decks for the cluster runs. MSC has been alerted
    to this and is working on correcting the issue.
  • The Linux Networx hardware has so far performed
    flawlessly in all of the categories that it has
    been tested against. They have also been very
    professional in lending support to MSC to help
    resolve software issues in the Marc application.

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