11 Search Results for "Miller, Barton P."

Document
DOI: 10.4230/DagRep.11.10.1
Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441)

Authors: Michael Gerndt, Masaaki Kondo, Barton P. Miller, and Tapasya Patki

Published in: Dagstuhl Reports, Volume 11, Issue 10 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 21441 "Adaptive Resource Management for HPC Systems". The seminar investigated the impact of adaptive resource management of malleable applications on the management of the HPC system, the programming of the applications, the tools for performance analysis and tuning, as well as the efficient usage of the HPC systems. The discussions led to a joint summary presenting the state-of-the-art, required techniques on the various levels of HPC systems, as well as the foreseen advantages of adaptive resource management.
Cite as

Michael Gerndt, Masaaki Kondo, Barton P. Miller, and Tapasya Patki. Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441). In Dagstuhl Reports, Volume 11, Issue 10, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{gerndt_et_al:DagRep.11.10.1,
  author =	{Gerndt, Michael and Kondo, Masaaki and Miller, Barton P. and Patki, Tapasya},
  title =	{{Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441)}},
  pages =	{1--19},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{10},
  editor =	{Gerndt, Michael and Kondo, Masaaki and Miller, Barton P. and Patki, Tapasya},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.10.1},
  URN =		{urn:nbn:de:0030-drops-159256},
  doi =		{10.4230/DagRep.11.10.1},
  annote =	{Keywords: High Performance Computing, dynamic resource management, malleable HPC applications, power management, computing continuum}
}
Document
DOI: 10.4230/DagSemProc.10181.1
10181 Abstracts Collection – Program Development for Extreme-Scale Computing

Authors: Jesus Labarta, Barton P. Miller, Bernd Mohr, and Martin Schulz

Published in: Dagstuhl Seminar Proceedings, Volume 10181, Program Development for Extreme-Scale Computing (2010)

Abstract
From May 2nd to May 7th, 2010, the Dagstuhl Seminar 10181 ``Program Development for Extreme-Scale Computing '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. Links to extended abstracts or full papers are provided, if available.
Cite as

Jesus Labarta, Barton P. Miller, Bernd Mohr, and Martin Schulz. 10181 Abstracts Collection – Program Development for Extreme-Scale Computing. In Program Development for Extreme-Scale Computing. Dagstuhl Seminar Proceedings, Volume 10181, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{labarta_et_al:DagSemProc.10181.1,
  author =	{Labarta, Jesus and Miller, Barton P. and Mohr, Bernd and Schulz, Martin},
  title =	{{10181 Abstracts Collection – Program Development for Extreme-Scale Computing}},
  booktitle =	{Program Development for Extreme-Scale Computing},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10181},
  editor =	{Jesus Labarta and Barton P. Miller and Bernd Mohr and Martin Schulz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10181.1},
  URN =		{urn:nbn:de:0030-drops-26840},
  doi =		{10.4230/DagSemProc.10181.1},
  annote =	{Keywords: Parallel programming, performance analysis, debugging, scalability}
}
Document
DOI: 10.4230/DagSemProc.10181.2
10181 Executive Summary – Program Development for Extreme-Scale Computing

Authors: Jesus Labarta, Barton P. Miller, Bernd Mohr, and Martin Schulz

Published in: Dagstuhl Seminar Proceedings, Volume 10181, Program Development for Extreme-Scale Computing (2010)

Abstract
From May 2nd to May 7th, 2010, the Dagstuhl Seminar 10181 ``Program Development for Extreme-Scale Computing '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. This paper provides an executive summary of the seminar.
Cite as

Jesus Labarta, Barton P. Miller, Bernd Mohr, and Martin Schulz. 10181 Executive Summary – Program Development for Extreme-Scale Computing. In Program Development for Extreme-Scale Computing. Dagstuhl Seminar Proceedings, Volume 10181, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{labarta_et_al:DagSemProc.10181.2,
  author =	{Labarta, Jesus and Miller, Barton P. and Mohr, Bernd and Schulz, Martin},
  title =	{{10181 Executive Summary – Program Development for Extreme-Scale Computing}},
  booktitle =	{Program Development for Extreme-Scale Computing},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10181},
  editor =	{Jesus Labarta and Barton P. Miller and Bernd Mohr and Martin Schulz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10181.2},
  URN =		{urn:nbn:de:0030-drops-26741},
  doi =		{10.4230/DagSemProc.10181.2},
  annote =	{Keywords: Parallel programming, performance analysis, debugging, scalability}
}
Document
DOI: 10.4230/DagSemProc.07341.1
07341 Abstracts Collection – Code Instrumentation and Modeling for Parallel Performance Analysis

Authors: Adolfy Hoisie, Barton P. Miller, and Bernd Mohr

Published in: Dagstuhl Seminar Proceedings, Volume 7341, Code Instrumentation and Modeling for Parallel Performance Analysis (2007)

Abstract
From 20th to 24th August 2007, the Dagstuhl Seminar 07341 ``Code Instrumentation and Modeling for Parallel Performance Analysis'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Adolfy Hoisie, Barton P. Miller, and Bernd Mohr. 07341 Abstracts Collection – Code Instrumentation and Modeling for Parallel Performance Analysis. In Code Instrumentation and Modeling for Parallel Performance Analysis. Dagstuhl Seminar Proceedings, Volume 7341, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{hoisie_et_al:DagSemProc.07341.1,
  author =	{Hoisie, Adolfy and Miller, Barton P. and Mohr, Bernd},
  title =	{{07341 Abstracts Collection – Code Instrumentation and Modeling for Parallel Performance Analysis}},
  booktitle =	{Code Instrumentation and Modeling for Parallel Performance Analysis},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7341},
  editor =	{Adolfy Hoisie and Barton P. Miller and Bernd Mohr},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07341.1},
  URN =		{urn:nbn:de:0030-drops-12681},
  doi =		{10.4230/DagSemProc.07341.1},
  annote =	{Keywords: Parallel programming, performance analysis, performance modeling, code instrumentation}
}
Document
DOI: 10.4230/DagSemProc.07341.2
07341 Executive Summary – Code Instrumentation and Modeling for Parallel Performance Analysis

Authors: Adolfy Hoisie, Barton P. Miller, and Bernd Mohr

Published in: Dagstuhl Seminar Proceedings, Volume 7341, Code Instrumentation and Modeling for Parallel Performance Analysis (2007)

Abstract
Given the exponential increase in the complexity of modern parallel systems, parallel applications often fail to exploit the full power of the underlying hardware. At scale, it is not uncommon for applications to run at parallel efficiencies in the low single digits. Moreover, their optimization is extremely difficult due to the inherent complexity of the systems and the applications themselves. Therefore, a variety of projects have been developing tools and techniques for the measurement, analysis, and visualization of parallel program performance in order to help guide users in the optimization process. This meeting was the third in a series of seminars related to the topic "Performance Analysis of Parallel and Distributed Programs", with previous meetings being the Dagstuhl Seminar 02341 on "Performance Analysis and Distributed Computing" held in August 2002 and Seminar 05501 on "Automatic Performance Analysis" in December 2005. While these seminars concentrated on the "analysis" part of performance analysis, at the most recent seminar the focus was on the building blocks of program instrumentation and modeling that are prerequisites for the analysis phase. As a result, the presentations of the participants concentrated on several fundamental issues related to instrumentation for generating high-quality performance data, methodologies for performance modeling leading to accurate predictions for the performance, and on the ways in which these techniques are combined for the performance analysis of applications and systems.
Cite as

Adolfy Hoisie, Barton P. Miller, and Bernd Mohr. 07341 Executive Summary – Code Instrumentation and Modeling for Parallel Performance Analysis. In Code Instrumentation and Modeling for Parallel Performance Analysis. Dagstuhl Seminar Proceedings, Volume 7341, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{hoisie_et_al:DagSemProc.07341.2,
  author =	{Hoisie, Adolfy and Miller, Barton P. and Mohr, Bernd},
  title =	{{07341 Executive Summary – Code Instrumentation and Modeling for Parallel Performance Analysis}},
  booktitle =	{Code Instrumentation and Modeling for Parallel Performance Analysis},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7341},
  editor =	{Adolfy Hoisie and Barton P. Miller and Bernd Mohr},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07341.2},
  URN =		{urn:nbn:de:0030-drops-12679},
  doi =		{10.4230/DagSemProc.07341.2},
  annote =	{Keywords: Performance analysis, parallel programming}
}
Document
DOI: 10.4230/DagSemProc.05501.1
05501 Abstracts Collection – Automatic Performance Analysis

Authors: Hans Michael Gerndt, Allen Malony, Barton P. Miller, and Wolfgang Nagel

Published in: Dagstuhl Seminar Proceedings, Volume 5501, Automatic Performance Analysis (2006)

Abstract
From 12.12.05 to 16.12.05, the Dagstuhl Seminar 05501 ``Automatic Performance Analysis'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Hans Michael Gerndt, Allen Malony, Barton P. Miller, and Wolfgang Nagel. 05501 Abstracts Collection – Automatic Performance Analysis. In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{gerndt_et_al:DagSemProc.05501.1,
  author =	{Gerndt, Hans Michael and Malony, Allen and Miller, Barton P. and Nagel, Wolfgang},
  title =	{{05501 Abstracts Collection – Automatic Performance Analysis}},
  booktitle =	{Automatic Performance Analysis},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5501},
  editor =	{Hans Michael Gerndt and Allen Malony and Barton P. Miller and Wolfgang Nagel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05501.1},
  URN =		{urn:nbn:de:0030-drops-5085},
  doi =		{10.4230/DagSemProc.05501.1},
  annote =	{Keywords: Parallel computing, performance analysis, programming environments}
}
Document
DOI: 10.4230/DagSemProc.05501.2
05501 Summary – Automatic Performance Analysis

Authors: Hans Michael Gerndt, Allen Malony, Barton P. Miller, and Wolfgang Nagel

Published in: Dagstuhl Seminar Proceedings, Volume 5501, Automatic Performance Analysis (2006)

Abstract
The Workshop on Automatic Performance Analysis (WAPA 2005, Dagstuhl Seminar 05501), held December 13-16, 2005, brought together performance researchers, developers, and practitioners with the goal of better understanding the methods, techniques, and tools that are needed for the automation of performance analysis for high performance computing.
Cite as

Hans Michael Gerndt, Allen Malony, Barton P. Miller, and Wolfgang Nagel. 05501 Summary – Automatic Performance Analysis. In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{gerndt_et_al:DagSemProc.05501.2,
  author =	{Gerndt, Hans Michael and Malony, Allen and Miller, Barton P. and Nagel, Wolfgang},
  title =	{{05501 Summary – Automatic Performance Analysis}},
  booktitle =	{Automatic Performance Analysis},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5501},
  editor =	{Hans Michael Gerndt and Allen Malony and Barton P. Miller and Wolfgang Nagel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05501.2},
  URN =		{urn:nbn:de:0030-drops-5069},
  doi =		{10.4230/DagSemProc.05501.2},
  annote =	{Keywords: Automatic Performance Analysis, Parallel Computers, Performance Tuning}
}
Document
DOI: 10.4230/DagSemProc.05501.3
Development and Tuning Framework of Master/Worker Applications

Authors: Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, and Emilio Luque

Published in: Dagstuhl Seminar Proceedings, Volume 5501, Automatic Performance Analysis (2006)

Abstract
Parallel/distributed programming is a complex task that requires a high degree of expertise to fulfill the expectations of high performance computation. The Master/Worker paradigm is one of the most commonly used because it is easy to understand and there is a wide range of applications that match this paradigm. However, there are certain features, such as data distribution and the number of workers that must be tuned properly to obtain adequate performance. In most cases such features cannot be tuned statically since they depend on the particular conditions of each execution. In this paper, we show a dynamic tuning environment that is based on a theoretical model of Master/Worker behavior and allows for the adaptation of such applications to the dynamic conditions of execution. The environment includes a pattern based application development framework that allows the user to concentrate on the design phase and makes it easier to overcome performance bottlenecks.
Cite as

Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, and Emilio Luque. Development and Tuning Framework of Master/Worker Applications. In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{caymesscutari_et_al:DagSemProc.05501.3,
  author =	{Caymes-Scutari, Paola and Morajko, Anna and C\'{e}sar, Eduardo and Costa, Genaro and Mesa, Jos\'{e} G. and Margalef, Tom\`{a}s and Sorribes, Joan and Luque, Emilio},
  title =	{{Development and Tuning Framework of Master/Worker Applications}},
  booktitle =	{Automatic Performance Analysis},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5501},
  editor =	{Hans Michael Gerndt and Allen Malony and Barton P. Miller and Wolfgang Nagel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05501.3},
  URN =		{urn:nbn:de:0030-drops-5057},
  doi =		{10.4230/DagSemProc.05501.3},
  annote =	{Keywords: Dynamic tuning, performance analysis, performance model}
}
Document
DOI: 10.4230/DagSemProc.05501.4
Holistic Hardware Counter Performance Analysis of Parallel Programs

Authors: Brian J. N. Wylie, Bernd Mohr, and Felix Wolf

Published in: Dagstuhl Seminar Proceedings, Volume 5501, Automatic Performance Analysis (2006)

Abstract
The KOJAK toolkit has been augmented with refined hardware performance counter support, including more convenient measurement specification, additional metric derivations and hierarchical structuring, and an extended algebra for integrating multiple experiments. Comprehensive automated analysis of a hybrid OpenMP/MPI parallel program, the ASC Purple sPPM benchmark, is demonstrated with performance experiments on equisized POWER4-II-based IBM Regatta p690+ cluster, Opteron-based Cray XD1 cluster and UltraSPARC-IV-based Sun Fire E25000 systems. Automatically assessed communication and synchronisation performance properties, combined with a rich set of measured and derived counter metrics, provide a holistic analysis context and facilitate multi-platform comparison.
Cite as

Brian J. N. Wylie, Bernd Mohr, and Felix Wolf. Holistic Hardware Counter Performance Analysis of Parallel Programs. In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, pp. 1-30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{wylie_et_al:DagSemProc.05501.4,
  author =	{Wylie, Brian J. N. and Mohr, Bernd and Wolf, Felix},
  title =	{{Holistic Hardware Counter Performance Analysis of Parallel Programs}},
  booktitle =	{Automatic Performance Analysis},
  pages =	{1--30},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5501},
  editor =	{Hans Michael Gerndt and Allen Malony and Barton P. Miller and Wolfgang Nagel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05501.4},
  URN =		{urn:nbn:de:0030-drops-5071},
  doi =		{10.4230/DagSemProc.05501.4},
  annote =	{Keywords: Parallel program execution tracing, hardware performance counters, automated structured analysis, performance comparison}
}
Document
DOI: 10.4230/DagSemProc.05501.5
Remote Performance Monitor (RPM)

Authors: Chandra Krintz and Selim Gurun

Published in: Dagstuhl Seminar Proceedings, Volume 5501, Automatic Performance Analysis (2006)

Abstract
Mobile, resource-constrained, battery-powered devices have emerged as key access points to the world's digital infrastructure. To enable our understanding of the performance of these devices, we must be able to efficiently collect accurate profile data from these devices after they are deployed in the field. Moreover, understanding the full-system power and energy behavior of these systems for real programs is vital if users are to accurately characterize, model, and develop effective techniques for extending battery life. Unfortunately, extant approaches to measuring and characterizing power and energy consumption focus on high-end processors, do not consider the complete device, employ inaccurate (program-only) simulation, rely on inaccurate, course-grained battery level data from the device, or employ expensive power measurement tools that are difficult to share across research groups and students. To address these issues, we developed remote performance monitor (RPM). The first component of RPM is an efficient technique for collecting accurate sample-based program profiles. The key to the efficacy of this technique is that we identify when to sample using the repeating patterns in program execution, phases. To enable fine-grained, full-system characterization of embedded computers, we couple and unify phase-aware profiling, hardware performance monitoring, and power and energy measurement within RPM. RPM consists of a tightly coupled set of components which (1) control lab equipment for power measurements and analysis, (2) configure target system characteristics at run-time (such as CPU and memory bus speed), (3) collect target system data using on-board hardware performance monitors (HPMs) and (4) provide a remote access interface. Users of RPM can submit and configure experiments that execute programs on the RPM target device (currently a Stargate sensor platform that is very similar to an HP iPAQ) to collect very accurate power, energy, and CPU performance data with high resolution.
Cite as

Chandra Krintz and Selim Gurun. Remote Performance Monitor (RPM). In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{krintz_et_al:DagSemProc.05501.5,
  author =	{Krintz, Chandra and Gurun, Selim},
  title =	{{Remote Performance Monitor (RPM)}},
  booktitle =	{Automatic Performance Analysis},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5501},
  editor =	{Hans Michael Gerndt and Allen Malony and Barton P. Miller and Wolfgang Nagel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05501.5},
  URN =		{urn:nbn:de:0030-drops-5046},
  doi =		{10.4230/DagSemProc.05501.5},
  annote =	{Keywords: Profiling, hardware performance monitors, sampling, phase behavior, power, energy}
}
Document
DOI: 10.4230/DagSemRep.349
Performance Analysis and Distributed Computing (Dagstuhl Seminar 02341)

Authors: Hans Michael Gerndt, Valdimir S. Getov, Adolfy Hoisie, Allen D. Malony, and Barton P. Miller

Published in: Dagstuhl Seminar Reports. Dagstuhl Seminar Reports, Volume 1 (2021)

Abstract
Cite as

Hans Michael Gerndt, Valdimir S. Getov, Adolfy Hoisie, Allen D. Malony, and Barton P. Miller. Performance Analysis and Distributed Computing (Dagstuhl Seminar 02341). Dagstuhl Seminar Report 349, pp. 1-24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2002)

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@TechReport{gerndt_et_al:DagSemRep.349,
  author =	{Gerndt, Hans Michael and Getov, Valdimir S. and Hoisie, Adolfy and Malony, Allen D. and Miller, Barton P.},
  title =	{{Performance Analysis and Distributed Computing (Dagstuhl Seminar 02341)}},
  pages =	{1--24},
  ISSN =	{1619-0203},
  year =	{2002},
  type = 	{Dagstuhl Seminar Report},
  number =	{349},
  institution =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemRep.349},
  URN =		{urn:nbn:de:0030-drops-152301},
  doi =		{10.4230/DagSemRep.349},
}
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