Performance analysis of multilevel parallel applications on shared memory architectures

Author

Jost, Gabriele ; Jin, Haoqiang ; Labarta, Jesus ; Gimenez, Judit ; Caubet, Jordi

Author_Institution

NAS Div., NASA Ames Res. Center, Moffett Field, CA, USA

fYear

2003

Abstract

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.

Keywords

application program interfaces; graphical user interfaces; message passing; performance evaluation; shared memory systems; Paraver graphical user interface; Paraver/OMPItrace performance analysis system; benchmark code; multilevel parallel applications; performance analysis; programming paradigms; shared memory architectures; shared memory computer architectures; Application software; Computer architecture; Hardware; Instruments; Memory architecture; Message passing; NASA; Parallel processing; Parallel programming; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing Symposium, 2003. Proceedings. International

ISSN

1530-2075

Print_ISBN

0-7695-1926-1

Type

conf

DOI

10.1109/IPDPS.2003.1213183

Filename

1213183