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A Framework for Performance Modeling and Prediction

Published 1 January 2002
Allan Snavely, Laura Carrington, Nicole Wolter, Jesús Labarta, Rosa M. Badía, Avi Purkayastha
Citations135

TL;DR

A framework for performance modeling and prediction that is faster than cycle-accurate simulation, more informative than simple benchmarking, and is shown useful for performance investigations in several dimensions is presented.

Abstract

Cycle-accurate simulation is far too slow for modeling the expected performance of full parallel applications on large HPC systems. And just running an application on a system and observing wallclock time tells you nothing about why the application performs as it does (and is anyway impossible on yet-to-be-built systems). Here we present a framework for performance modeling and prediction that is faster than cycle-accurate simulation, more informative than simple benchmarking, and is shown useful for performance investigations in several dimensions.

Keywords

Computer Science