Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis
Abstract
Over the last decades a large number of performance tools has been developed to analyze and optimize high performance applications. Their acceptance by end users, however, has been slow: each tool alone is often limited in scope and comes with widely varying interfaces and workflow constraints, requiring different changes in the often complex build and execution infrastructure of the target application. We started the Open | SpeedShop project about 3 years ago to overcome these limitations and provide efficient, easy to apply, and integrated performance analysis for parallel systems. Open | SpeedShop has two different faces: it provides an interoperable tool set covering the most common analysis steps as well as a comprehensive plugin infrastructure for building new tools. In both cases, the tools can be deployed to large scale parallel applications using DPCL/Dyninst for distributed binary instrumentation. Further, all tools developed within or on top of Open | SpeedShop are accessible through multiple fully equivalent interfaces including an easy-to-use GUI as well as an interactive command line interface reducing the usage threshold for those tools.
- Authors:
-
- Lawrence Livermore National Laboratory, Livermore, CA, USA
- Krell Insititute, Ames, IA, USA
- Los Alamos National Laboratory, Los Alamos, NM, USA
- Sandia National Laboratories, Livermore, CA, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1198001
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Published Article
- Journal Name:
- Scientific Programming
- Additional Journal Information:
- Journal Name: Scientific Programming Journal Volume: 16 Journal Issue: 2-3; Journal ID: ISSN 1058-9244
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Egypt
- Language:
- English
Citation Formats
Schulz, Martin, Galarowicz, Jim, Maghrak, Don, Hachfeld, William, Montoya, David, and Cranford, Scott. Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis. Egypt: N. p., 2008.
Web. doi:10.1155/2008/713705.
Schulz, Martin, Galarowicz, Jim, Maghrak, Don, Hachfeld, William, Montoya, David, & Cranford, Scott. Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis. Egypt. https://doi.org/10.1155/2008/713705
Schulz, Martin, Galarowicz, Jim, Maghrak, Don, Hachfeld, William, Montoya, David, and Cranford, Scott. Tue .
"Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis". Egypt. https://doi.org/10.1155/2008/713705.
@article{osti_1198001,
title = {Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis},
author = {Schulz, Martin and Galarowicz, Jim and Maghrak, Don and Hachfeld, William and Montoya, David and Cranford, Scott},
abstractNote = {Over the last decades a large number of performance tools has been developed to analyze and optimize high performance applications. Their acceptance by end users, however, has been slow: each tool alone is often limited in scope and comes with widely varying interfaces and workflow constraints, requiring different changes in the often complex build and execution infrastructure of the target application. We started the Open | SpeedShop project about 3 years ago to overcome these limitations and provide efficient, easy to apply, and integrated performance analysis for parallel systems. Open | SpeedShop has two different faces: it provides an interoperable tool set covering the most common analysis steps as well as a comprehensive plugin infrastructure for building new tools. In both cases, the tools can be deployed to large scale parallel applications using DPCL/Dyninst for distributed binary instrumentation. Further, all tools developed within or on top of Open | SpeedShop are accessible through multiple fully equivalent interfaces including an easy-to-use GUI as well as an interactive command line interface reducing the usage threshold for those tools.},
doi = {10.1155/2008/713705},
journal = {Scientific Programming},
number = 2-3,
volume = 16,
place = {Egypt},
year = {Tue Jan 01 00:00:00 EST 2008},
month = {Tue Jan 01 00:00:00 EST 2008}
}
https://doi.org/10.1155/2008/713705
Web of Science