4 Search Results for "Meyer, Ulrich Carsten"

Document
DOI: 10.4230/DagRep.9.1.104
Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)

Authors: Gerth Stølting Brodal, Ulrich Carsten Meyer, Bernhard E. Nebel, and Robert Sedgewick

Published in: Dagstuhl Reports, Volume 9, Issue 1 (2019)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16101 "Data Structures for the Cloud and External Memory Data". In today's computing environment vast amounts of data are processed, exchanged and analyzed. The manner in which information is stored profoundly influences the efficiency of these operations over the data. In spite of the maturity of the field many data structuring problems are still open, while new ones arise due to technological advances. The seminar covered both recent advances in the "classical" data structuring topics as well as new models of computation adapted to modern architectures, scientific studies that reveal the need for such models, applications where large data sets play a central role, modern computing platforms for very large data, and new data structures for large data in modern architectures. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.
Cite as

Gerth Stølting Brodal, Ulrich Carsten Meyer, Bernhard E. Nebel, and Robert Sedgewick. Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051). In Dagstuhl Reports, Volume 9, Issue 1, pp. 104-124, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{brodal_et_al:DagRep.9.1.104,
  author =	{Brodal, Gerth St{\o}lting and Meyer, Ulrich Carsten and Nebel, Bernhard E. and Sedgewick, Robert},
  title =	{{Data Structures for the Cloud and External Memory Data (Dagstuhl Seminar 19051)}},
  pages =	{104--124},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{1},
  editor =	{Brodal, Gerth St{\o}lting and Meyer, Ulrich Carsten and Nebel, Bernhard E. and Sedgewick, Robert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.1.104},
  URN =		{urn:nbn:de:0030-drops-105722},
  doi =		{10.4230/DagRep.9.1.104},
  annote =	{Keywords: algorithms, big data, cloud computing, data structures, external memory methods, large data sets, web-scale}
}
Document
DOI: 10.4230/DagRep.6.3.1
Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 16101)

Authors: Alejandro Lopez-Ortiz, Ulrich Carsten Meyer, Markus E. Nebel, and Robert Sedgewick

Published in: Dagstuhl Reports, Volume 6, Issue 3 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16101 "Data Structures and Advanced Models of Computation on Big Data". In today's computing environment vast amounts of data are processed, exchanged and analyzed. The manner in which information is stored profoundly influences the efficiency of these operations over the data. In spite of the maturity of the field many data structuring problems are still open, while new ones arise due to technological advances. The seminar covered both recent advances in the "classical" data structuring topics as well as new models of computation adapted to modern architectures, scientific studies that reveal the need for such models, applications where large data sets play a central role, modern computing platforms for very large data, and new data structures for large data in modern architectures. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.
Cite as

Alejandro Lopez-Ortiz, Ulrich Carsten Meyer, Markus E. Nebel, and Robert Sedgewick. Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 16101). In Dagstuhl Reports, Volume 6, Issue 3, pp. 1-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{lopezortiz_et_al:DagRep.6.3.1,
  author =	{Lopez-Ortiz, Alejandro and Meyer, Ulrich Carsten and Nebel, Markus E. and Sedgewick, Robert},
  title =	{{Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 16101)}},
  pages =	{1--23},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{3},
  editor =	{Lopez-Ortiz, Alejandro and Meyer, Ulrich Carsten and Nebel, Markus E. and Sedgewick, Robert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.6.3.1},
  URN =		{urn:nbn:de:0030-drops-61457},
  doi =		{10.4230/DagRep.6.3.1},
  annote =	{Keywords: algorithms, big data, cloud services, data structures, external memory methods, information theory, large data sets, streaming, web-scale}
}
Document
DOI: 10.4230/DagRep.4.11.40
High-performance Graph Algorithms and Applications in Computational Science (Dagstuhl Seminar 14461)

Authors: Ulrich Carsten Meyer, Henning Meyerhenke, Ali Pinar, and Ilya Safro

Published in: Dagstuhl Reports, Volume 4, Issue 11 (2015)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14461 "High- performance Graph Algorithms and Applications in Computational Science". The seminar reflected the recent qualitative change how graph algorithms are used in practice due to (i) the complex structure of graphs in new and emerging applications, (ii) the size of typical inputs, and (iii) the computer systems on which graph problems are solved. This change is having a tremendous impact on the field of graph algorithms in terms of algorithm theory and implementation as well as hardware requirements and application areas. The seminar covered recent advances in all these aspects with a focus on practical algorithms and their efficient implementation for large-scale problems. The abstracts included in this report contain recent state-of-the-art results, but also point to promising new directions for high-performance graph algorithms and their applications.
Cite as

Ulrich Carsten Meyer, Henning Meyerhenke, Ali Pinar, and Ilya Safro. High-performance Graph Algorithms and Applications in Computational Science (Dagstuhl Seminar 14461). In Dagstuhl Reports, Volume 4, Issue 11, pp. 40-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{meyer_et_al:DagRep.4.11.40,
  author =	{Meyer, Ulrich Carsten and Meyerhenke, Henning and Pinar, Ali and Safro, Ilya},
  title =	{{High-performance Graph Algorithms and Applications in Computational Science (Dagstuhl Seminar 14461)}},
  pages =	{40--58},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{11},
  editor =	{Meyer, Ulrich Carsten and Meyerhenke, Henning and Pinar, Ali and Safro, Ilya},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.11.40},
  URN =		{urn:nbn:de:0030-drops-49697},
  doi =		{10.4230/DagRep.4.11.40},
  annote =	{Keywords: graphs, graph algorithms, graph theory, computational science, complex networks, network science, graph partitioning, linear algebra, parallel program}
}
Document
DOI: 10.4230/DagRep.4.2.129
Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 14091)

Authors: Alejandro López-Ortiz, Ulrich Carsten Meyer, and Robert Sedgewick

Published in: Dagstuhl Reports, Volume 4, Issue 2 (2014)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14091 "Data Structures and Advanced Models of Computation on Big Data". In today's computing environment vast amounts of data are processed, exchanged and analyzed. The manner in which information is stored profoundly influences the efficiency of these operations over the data. In spite of the maturity of the field many data structuring problems are still open, while new ones arise due to technological advances. The seminar covered both recent advances in the "classical" data structuring topics as well as new models of computation adapted to modern architectures, scientific studies that reveal the need for such models, applications where large data sets play a central role, modern computing platforms for very large data, and new data structures for large data in modern architectures. The extended abstracts included in this report contain both recent state of the art advances and lay the foundation for new directions within data structures research.
Cite as

Alejandro López-Ortiz, Ulrich Carsten Meyer, and Robert Sedgewick. Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 14091). In Dagstuhl Reports, Volume 4, Issue 2, pp. 129-149, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

Copy BibTex To Clipboard

@Article{lopezortiz_et_al:DagRep.4.2.129,
  author =	{L\'{o}pez-Ortiz, Alejandro and Meyer, Ulrich Carsten and Sedgewick, Robert},
  title =	{{Data Structures and Advanced Models of Computation on Big Data (Dagstuhl Seminar 14091)}},
  pages =	{129--149},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{2},
  editor =	{L\'{o}pez-Ortiz, Alejandro and Meyer, Ulrich Carsten and Sedgewick, Robert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.2.129},
  URN =		{urn:nbn:de:0030-drops-45489},
  doi =		{10.4230/DagRep.4.2.129},
  annote =	{Keywords: data structures, big data, models of computation, I/O Model, sorting, quicksort, graph algorithms, hashing, compression, succinct data structures, trajectories, text search, GPU algorithms, MapReduce}
}
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