loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Parallel and Distributed Processing Symposium (IPDPS'03)
Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
ASCII Text
x 
 
Gabriele Jost, Haoqiang Jin, Jesus Labarta, Judit Gimenez, Jordi Caubet, "Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures," Parallel and Distributed Processing Symposium, International, pp. 80b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/IPDPS.2003.1213183,
author = {Gabriele Jost and Haoqiang Jin and Jesus Labarta and Judit Gimenez and Jordi Caubet},
title = {Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {80b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213183},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures
SN - 1530-2075
SP
EP
A1 - Gabriele Jost,
A1 - Haoqiang Jin,
A1 - Jesus Labarta,
A1 - Judit Gimenez,
A1 - Jordi Caubet,
PY - 2003
KW - Performance analysis
KW - programming paradigms
KW - multilevel parallelism
KW - message passing
KW - OpenMP
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Gabriele Jost, NASA Ames Research Center
Haoqiang Jin, NASA Ames Research Center
Jesus Labarta, Technical University of Catalonia
Judit Gimenez, Technical University of Catalonia
Jordi Caubet, Technical University of Catalonia
In this paper we describe how to apply powerful performance analysis techniques to understand the behavior of multilevel parallel applications. We use the Paraver/OMPItrace performance analysis system for our study. This system consists of two major components: The OMPItrace dynamic instrumentation mechanism, which allows the tracing of processes and threads and the Paraver graphical user interface for inspection and analyses of the generated traces. We apply the system to conduct a detailed comparative study of a benchmark code implemented in five different programming paradigms applicable for shared memory computer architectures
Index Terms:
Performance analysis, programming paradigms, multilevel parallelism, message passing, OpenMP
Citation:
Gabriele Jost, Haoqiang Jin, Jesus Labarta, Judit Gimenez, Jordi Caubet, "Performance Analysis of Multilevel Parallel Applications on Shared Memory Architectures," ipdps, pp.80b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.