Simulating Large Parallel Machines for Performance Prediction
Thesis 2003
Publication Type: MS Thesis
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Abstract
The masters thesis describes a simulator for large parallel
machines like BlueGene/L that provides the ability to make
performance predictions, based on actual execution of real
applications. It is useful to evaluate the performance of many
applications on such machines even before they are built. In this
thesis, we present an online parallel simulator which is based on a
parallel discrete event simulation scheme and also demonstrate
sequential and parallel post-mortem simulation schemes. The
techniques for optimizing online parallel simulations of machines
with large number of processors on the ones with fewer number of
processors are also explored. Finally, a comparison of online and
post-mortem approaches is also presented.
TextRef
Gunavardhan Kakulapati, "Simulating Large Parallel Machines for Performance
Prediction", University of Illinois at Urbana-Champaign, 2003.
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