Title page for ETD etd-12202011-035427


Type of Document Master's Thesis
Author Radcliffe, Nicholas Ryan
URN etd-12202011-035427
Title Adjusting Process Count on Demand for Petascale Global Optimization
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Watson, Layne T. Committee Chair
Sandu, Adrian Committee Member
Shinpaugh, Kevin A. Committee Member
Keywords
  • Petascale computing
  • Global optimization
  • Message Passing Interface (MPI)
  • Dynamic process count
Date of Defense 2011-12-15
Availability unrestricted
Abstract
There are many challenges that need to be met before efficient and reliable computation at the petascale is possible. Many scientific and engineering codes running at the petascale are likely to be memory intensive, which makes thrashing a serious problem for many petascale applications. One way to overcome this challenge is to use a dynamic number of processes, so that the total amount of memory available for the computation can be increased on demand. This thesis describes modifications made to the massively parallel global optimization code pVTdirect in order to allow for a dynamic number of processes. In particular, the modified version of the code monitors memory use and spawns new processes if the amount of available memory is determined to be insufficient. The primary design challenges are discussed, and performance results are presented and analyzed.
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