Personal tools
You are here: Home Publications Application Insight Through Performance Modeling
Document Actions

Gabriel Marin and John Mellor-Crummey (2007)

Application Insight Through Performance Modeling

In: Proceedings of the 26th IEEE International Performance, Computing, and Communications Conference, pp. 65–74, New Orleans, Louisiana, IEEE.

Tuning the performance of applications requires understanding the interactions between code and target architecture. This paper describes a performance modeling approach that not only makes accurate predictions about the behavior of an application on a target architecture for different inputs, but also provides guidance for tuning by high-lighting the factors that limit performance in each section of a program. We introduce two new performance metrics that estimate the maximum gain expected from tuning different parts of an application, or from increasing the number of machine resources. We show how this metric helped identify a bottleneck in the ASCI SweepSD benchmark where the lack of instruction-level parallelism limited performance. Transforming one frequently executed loop to ameliorate this bottleneck improved performance by 16\% on an Itanium2 system.

by admin last modified 2008-02-15 04:46
« November 2017 »
Su Mo Tu We Th Fr Sa
1234
567891011
12131415161718
19202122232425
2627282930
 

Powered by Plone

CScADS Collaborators include:

Rice University ANL UCB UTK WISC