Scalable performance analysis: the Pablo performance analysis environment

Author

Reed, Daniel A. ; Roth, Phillip C. ; Aydt, Ruth A. ; Shields, Keith A. ; Tavera, Luis F. ; Noe, Roger J. ; Schwartz, Bradley W.

Author_Institution

Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA

fYear

1993

fDate

6-8 Oct 1993

Firstpage

104

Lastpage

113

Abstract

Developers of application codes for massively parallel computer systems face daunting performance tuning and optimization problems that must be solved if massively parallel systems are to fulfill their promise. Recording and analyzing the dynamics of application program, system software, and hardware interactions is the key to understanding and the prerequisite to performance tuning, but this instrumentation and analysis must not unduly perturb program execution. Pablo is a performance analysis environment designed to provide unobtrusive performance data capture, analysis, and presentation across a wide variety of scalable parallel systems. Current efforts include dynamic statistical clustering to reduce the volume of data that must be captured and complete performance data immersion via head-mounted displays

Keywords

application generators; optimisation; parallel processing; performance evaluation; programming environments; Pablo performance analysis environment; application codes; application program; dynamic statistical clustering; hardware interactions; head-mounted displays; massively parallel computer systems; optimization problems; scalable performance analysis; system software; Aerodynamics; Application software; Computer displays; Concurrent computing; Contracts; Data analysis; Hardware; Performance analysis; Signal design; System software;

fLanguage

English

Publisher

ieee

Conference_Titel

Scalable Parallel Libraries Conference, 1993., Proceedings of the

Conference_Location

Mississippi State, MS

Print_ISBN

0-8186-4980-1

Type

conf

DOI

10.1109/SPLC.1993.365577

Filename

365577