Scalable performance analysis: The Pablo performance analysis environment

D. A. Reed; P. C. Roth; R. A. Aydt; K. A. Shields; L. F. Tavera; R. J. Noe; B. W. Schwartz

doi:10.1109/SPLC.1993.365577

Scalable performance analysis: The Pablo performance analysis environment

D. A. Reed, P. C. Roth, R. A. Aydt, K. A. Shields, L. F. Tavera, R. J. Noe, B. W. Schwartz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

164 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of Scalable Parallel Libraries Conference, SPLC 1993
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	104-113
Number of pages	10
ISBN (Electronic)	0818649801, 9780818649806
DOIs	https://doi.org/10.1109/SPLC.1993.365577
State	Published - 1993
Externally published	Yes
Event	1993 Scalable Parallel Libraries Conference, SPLC 1993 - Mississippi State, United States Duration: Oct 6 1993 → Oct 8 1993

Publication series

Name	Proceedings of Scalable Parallel Libraries Conference, SPLC 1993

Conference

Conference	1993 Scalable Parallel Libraries Conference, SPLC 1993
Country/Territory	United States
City	Mississippi State
Period	10/6/93 → 10/8/93

Funding

‘Supported in part by the Advanced Research Projects Agency under ARPA Contract No. DAVT63-91-C-0029, by the National Science Foundation under grants NSF IFU 92-12976 and NSF CDA87-22836, by the National Aeronautics and Space Administration under NASA Contract Number NAG-1-613, and by a collaborative research agreement with the Intel Supercomputer Systems Division.

Funders	Funder number
National Science Foundation	CDA87-22836, IFU 92-12976
National Aeronautics and Space Administration	NAG-1-613
Advanced Research Projects Agency	DAVT63-91-C-0029

Access to Document

10.1109/SPLC.1993.365577

Cite this

Reed, D. A., Roth, P. C., Aydt, R. A., Shields, K. A., Tavera, L. F., Noe, R. J., & Schwartz, B. W. (1993). Scalable performance analysis: The Pablo performance analysis environment. In Proceedings of Scalable Parallel Libraries Conference, SPLC 1993 (pp. 104-113). Article 365577 (Proceedings of Scalable Parallel Libraries Conference, SPLC 1993). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPLC.1993.365577

@inproceedings{270afa077e354459b50f7aa9b941ffcb,

title = "Scalable performance analysis: The Pablo performance analysis environment",

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.",

author = "Reed, {D. A.} and Roth, {P. C.} and Aydt, {R. A.} and Shields, {K. A.} and Tavera, {L. F.} and Noe, {R. J.} and Schwartz, {B. W.}",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 1993 Scalable Parallel Libraries Conference, SPLC 1993 ; Conference date: 06-10-1993 Through 08-10-1993",

year = "1993",

doi = "10.1109/SPLC.1993.365577",

language = "English",

series = "Proceedings of Scalable Parallel Libraries Conference, SPLC 1993",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "104--113",

booktitle = "Proceedings of Scalable Parallel Libraries Conference, SPLC 1993",

}

Reed, DA, Roth, PC, Aydt, RA, Shields, KA, Tavera, LF, Noe, RJ & Schwartz, BW 1993, Scalable performance analysis: The Pablo performance analysis environment. in Proceedings of Scalable Parallel Libraries Conference, SPLC 1993., 365577, Proceedings of Scalable Parallel Libraries Conference, SPLC 1993, Institute of Electrical and Electronics Engineers Inc., pp. 104-113, 1993 Scalable Parallel Libraries Conference, SPLC 1993, Mississippi State, United States, 10/6/93. https://doi.org/10.1109/SPLC.1993.365577

Scalable performance analysis: The Pablo performance analysis environment. / Reed, D. A.; Roth, P. C.; Aydt, R. A. et al.
Proceedings of Scalable Parallel Libraries Conference, SPLC 1993. Institute of Electrical and Electronics Engineers Inc., 1993. p. 104-113 365577 (Proceedings of Scalable Parallel Libraries Conference, SPLC 1993).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Reed DA, Roth PC, Aydt RA, Shields KA, Tavera LF, Noe RJ et al. Scalable performance analysis: The Pablo performance analysis environment. In Proceedings of Scalable Parallel Libraries Conference, SPLC 1993. Institute of Electrical and Electronics Engineers Inc. 1993. p. 104-113. 365577. (Proceedings of Scalable Parallel Libraries Conference, SPLC 1993). doi: 10.1109/SPLC.1993.365577

Scalable performance analysis: The Pablo performance analysis environment

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