4 Search Results for "Bremer, Peer-Timo"

Document
DOI: 10.4230/DagRep.13.3.106
AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)

Authors: Peer-Timo Bremer, Brian Spears, Tom Gibbs, and Michael Bussmann

Published in: Dagstuhl Reports, Volume 13, Issue 3 (2023)

Abstract
In the last week of March 2023, Schloss Dagstuhl hosted a Dagstuhl Seminar on "AI-Augmented Facilities: Bridging Experiment and Simulation with ML". The seminar brought together experimental and computational scientists, experts on edge and HPC computing, and machine learning and computer science researchers to jointly develop a strategic vision on how to move towards AI-augmented facilities in a unified manner. The goal was to suggest a common research agenda with an emphasis on areas where joint efforts are needed for future progress. Starting with some overarching perspectives the seminar was dominated by lively discussions that resulted in a strategic write-up to be published separately.
Cite as

Peer-Timo Bremer, Brian Spears, Tom Gibbs, and Michael Bussmann. AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). In Dagstuhl Reports, Volume 13, Issue 3, pp. 106-131, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{bremer_et_al:DagRep.13.3.106,
  author =	{Bremer, Peer-Timo and Spears, Brian and Gibbs, Tom and Bussmann, Michael},
  title =	{{AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)}},
  pages =	{106--131},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{3},
  editor =	{Bremer, Peer-Timo and Spears, Brian and Gibbs, Tom and Bussmann, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.13.3.106},
  URN =		{urn:nbn:de:0030-drops-192317},
  doi =		{10.4230/DagRep.13.3.106},
  annote =	{Keywords: Self-driving experiments, Smart facilities, AI models, Multimodal data, Accelerated scientific discovery, AI software stack for experiments}
}
Document
DOI: 10.4230/DagRep.9.11.24
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)

Authors: Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, and Jayaraman Thiagarajan

Published in: Dagstuhl Reports, Volume 9, Issue 11 (2020)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19452 "Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable".
Cite as

Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, and Jayaraman Thiagarajan. Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). In Dagstuhl Reports, Volume 9, Issue 11, pp. 24-33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{bertini_et_al:DagRep.9.11.24,
  author =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  title =	{{Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)}},
  pages =	{24--33},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{11},
  editor =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.11.24},
  URN =		{urn:nbn:de:0030-drops-119820},
  doi =		{10.4230/DagRep.9.11.24},
  annote =	{Keywords: Visualization, Machine Learning, Interpretability}
}
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-dev.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-dev.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}
}
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