By Samuel Leeman-Munk
High performance computing raises the bar for benchmarking. Existing benchmarking applications
such as Linpack measure raw power of a computer in one dimension, but in the myriad
architectures of high performance cluster computing an algorithm may show excellent
performance on one cluster while on another cluster of the same benchmark it performs poorly.
Petakit aims to improve this weakness of standard benchmarking by using multidimensional
benchmarking technique that would measure a cluster's abilities via multiple unique tests
rather than just one. In its final form, PetaKit will support thirteen different tests - one
for each of the the thirteen dwarfs of computing as published in Berkeley's parallel
computing research paper.
This module describes the current state of PetaKit, its infrastructure, and in broad terms how the greater system works. For a lab, the student uses the PetaKit statistics harvester StatKit and benchmarks his or her own program (a sample program is supplied) and views the output with PetaKit plotter PlotKit.
PetaKit Module : PDF document providing background and instructions for using the Petakit parallel benchmarking kit.
StatKit.zip : Zip archive containing all the source code for StatKit and PlotKit. (perl stat.pl --help for documentation)
Petakit C Library : Zip archive containing the library with commands for outfitting C programs to provide StatKit-compatible output.
Parallel Code Example : Zip archive containing an example parallel code, which calculates the area under a curve, that can be benchmarked using the Petakit.