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Abstract
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Description
Implementation
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Report of Experiences
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Report of Experiences

  • All things considered, progress was good, and goals were met.

  • Needed to choose a Gaussian white noise generation method.

    • Central limit theorem approach vs. rejection sampling

    • Central limit theorem

      • Need to sum 50 random numbers for each sample

    • Rejection sampling

      • Need to cast 10 pairs of random numbers for each sample

      • For each pair, need to evaluate the Gaussian 1D function

      • Slower than Central limit theorem approach

  • Many small problems with CSIL machines, which hang or reboot without warning.

  • Main code runs on CSIL, but renderings & plots can only be done in the GrUVi lab. So, ssh'ing was required and it was not possible to fully automate tasks.

 

Tai Meng (孟泰), Last Updated: April 13, 2006