Paper Info
Title
Workload characterization using the TAU performance system
Abstract
Workload characterization is an important technique that helps us understand the performance of parallel applications and the demands they place on the system. It can be used to describe performance effects due to application parameters, compiler options, and platform configurations. In this paper, workload characterization features in the TAU parallel performance system are demonstrated for elucidating the performance of the MPI library based on the sizes of messages. Such characterization partitions the time spent in the MPI routines used by an application based on the type of MPI operation and the message size involved. It requires a two-level mapping of performance data, a unique feature implemented in TAU. Results from the NPB LU benchmark are presented. We also discuss the use of mapping for memory consumption characterization.
Year
DOI
Venue
2006
10.1007/978-3-540-75755-9_35
PARA
Keywords
Field
DocType
mpi operation,workload characterization feature,tau performance system,parallel application,tau parallel performance system,workload characterization,performance data,memory consumption characterization,mpi library,performance effect,application parameter
Workload,Computer science,Parallel computing,Compiler,Message size
Conference
Volume
ISSN
ISBN
4699
0302-9743
3-540-75754-6
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Sameer Shende11351116.40
Allen D. Malony21787190.85
Alan Morris3385.47