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Documents authored by Schulz, Martin

Document
DOI: 10.4230/DagRep.11.7.16
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332)

Authors: Philip Carns, Julian Kunkel, Kathryn Mohror, and Martin Schulz

Published in: Dagstuhl Reports, Volume 11, Issue 7 (2021)

Abstract
Two key changes are driving an immediate need for deeper understanding of I/O workloads in high-performance computing (HPC): applications are evolving beyond the traditional bulk-synchronous models to include integrated multistep workflows, in situ analysis, artificial intelligence, and data analytics methods; and storage systems designs are evolving beyond a two-tiered file system and archive model to complex hierarchies containing temporary, fast tiers of storage close to compute resources with markedly different performance properties. Both of these changes represent a significant departure from the decades-long status quo and require investigation from storage researchers and practitioners to understand their impacts on overall I/O performance. Without an in-depth understanding of I/O workload behavior, storage system designers, I/O middleware developers, facility operators, and application developers will not know how best to design or utilize the additional tiers for optimal performance of a given I/O workload. The goal of this Dagstuhl Seminar was to bring together experts in I/O performance analysis and storage system architecture to collectively evaluate how our community is capturing and analyzing I/O workloads on HPC systems, identify any gaps in our methodologies, and determine how to develop a better in-depth understanding of their impact on HPC systems. Our discussions were lively and resulted in identifying critical needs for research in the area of understanding I/O behavior. We document those discussions in this report.
Cite as

Philip Carns, Julian Kunkel, Kathryn Mohror, and Martin Schulz. Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332). In Dagstuhl Reports, Volume 11, Issue 7, pp. 16-75, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{carns_et_al:DagRep.11.7.16,
  author =	{Carns, Philip and Kunkel, Julian and Mohror, Kathryn and Schulz, Martin},
  title =	{{Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332)}},
  pages =	{16--75},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{7},
  editor =	{Carns, Philip and Kunkel, Julian and Mohror, Kathryn and Schulz, Martin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.11.7.16},
  URN =		{urn:nbn:de:0030-drops-155891},
  doi =		{10.4230/DagRep.11.7.16},
  annote =	{Keywords: I/O performance measurement, Understanding user I/O patterns, HPC I/O, I/O characterization}
}
Document
DOI: 10.4230/DagMan.5.1.1
Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022)

Authors: Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, and Holger Brunst

Published in: Dagstuhl Manifestos, Volume 5, Issue 1 (2015)

Abstract
In the first week of January 2014 Schloss Dagstuhl hosted a Perspectives Workshop on “Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing”. The workshop brought together two previously separate communities – from Visualization and Performance Analysis for High Performance Computing – to discuss a long term joint research agenda. The goal was to identify and address the challenges in using visual representations to understand and optimize the performance of extreme-scale applications running on today's most powerful computing systems like climate modeling, combustion, material science or astro-physics simulations.
Cite as

Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, and Holger Brunst. Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). In Dagstuhl Manifestos, Volume 5, Issue 1, pp. 1-24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{bremer_et_al:DagMan.5.1.1,
  author =	{Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin and Gamblin, Todd and Brunst, Holger},
  title =	{{Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022)}},
  pages =	{1--24},
  journal =	{Dagstuhl Manifestos},
  ISSN =	{2193-2433},
  year =	{2015},
  volume =	{5},
  number =	{1},
  editor =	{Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin and Gamblin, Todd and Brunst, Holger},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagMan.5.1.1},
  URN =		{urn:nbn:de:0030-drops-55099},
  doi =		{10.4230/DagMan.5.1.1},
  annote =	{Keywords: Performance Analysis, Performance Tools, Information Visualization, Visual Analytics}
}
Document
DOI: 10.4230/DagRep.4.1.17
Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022)

Authors: Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, and Martin Schulz

Published in: Dagstuhl Reports, Volume 4, Issue 1 (2014)

Abstract
In the first week of January 2014 Dagstuhl hosted a Perspectives Workshop on "Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing". The event brought together two previously separate communities - from Visualization and HPC Performance Analysis - to discuss a long term joined research agenda. The goal was to identify and address the challenges in using visual representations to understand and optimize the performance of extreme-scale applications running on today's most powerful computing systems like climate modeling, combustion, material science or astro-physics simulations.
Cite as

Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, and Martin Schulz. Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022). In Dagstuhl Reports, Volume 4, Issue 1, pp. 17-35, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{bremer_et_al:DagRep.4.1.17,
  author =	{Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin},
  title =	{{Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022)}},
  pages =	{17--35},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{1},
  editor =	{Bremer, Peer-Timo and Mohr, Bernd and Pascucci, Valerio and Schulz, Martin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.1.17},
  URN =		{urn:nbn:de:0030-drops-45166},
  doi =		{10.4230/DagRep.4.1.17},
  annote =	{Keywords: Large scale data presentation and analysis, Exascale class machine optimization, Performance data analysis and root cause detection, High dimensional}
}
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.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.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}
}
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