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Documents authored by Dehnert, James

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DOI: 10.4230/DagSemProc.05101.1
05101 Abstracts Collection – Scheduling for Parallel Architectures: Theory, Applications, Challenges

Authors: Erik Altman, James Dehnert, Christoph W. Kessler, and Jens Knoop

Published in: Dagstuhl Seminar Proceedings, Volume 5101, Scheduling for Parallel Architectures: Theory, Applications, Challenges (2005)

Abstract
From 06.03.05 to 11.03.05, the Dagstuhl Seminar 05101 ``Scheduling for Parallel Architectures: Theory, Applications, Challenges'' 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.
Cite as

Erik Altman, James Dehnert, Christoph W. Kessler, and Jens Knoop. 05101 Abstracts Collection – Scheduling for Parallel Architectures: Theory, Applications, Challenges. In Scheduling for Parallel Architectures: Theory, Applications, Challenges. Dagstuhl Seminar Proceedings, Volume 5101, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{altman_et_al:DagSemProc.05101.1,
  author =	{Altman, Erik and Dehnert, James and Kessler, Christoph W. and Knoop, Jens},
  title =	{{05101 Abstracts Collection – Scheduling for Parallel Architectures: Theory, Applications, Challenges}},
  booktitle =	{Scheduling for Parallel Architectures: Theory, Applications, Challenges},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5101},
  editor =	{Erik Altman and James Dehnert and Christoph W. Kessler and Jens Knoop},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05101.1},
  URN =		{urn:nbn:de:0030-drops-1070},
  doi =		{10.4230/DagSemProc.05101.1},
  annote =	{Keywords: Instruction scheduling, task clustering, task merging, dynamic, scheduling, multiprocessor scheduling, software pipelining, hierarchical, malleable task-graphs}
}
Document
DOI: 10.4230/DagSemProc.05101.2
05101 Executive Summary – Scheduling for Parallel Architectures: Theory, Applications, Challenges

Authors: Erik Altman, James Dehnert, Christoph W. Kessler, and Jens Knoop

Published in: Dagstuhl Seminar Proceedings, Volume 5101, Scheduling for Parallel Architectures: Theory, Applications, Challenges (2005)

Abstract
This paper summarizes the objectives and contributions of a seminar with the same title held from March 6 to March 11, 2005 at Schloss Dagstuhl, Germany.
Cite as

Erik Altman, James Dehnert, Christoph W. Kessler, and Jens Knoop. 05101 Executive Summary – Scheduling for Parallel Architectures: Theory, Applications, Challenges. In Scheduling for Parallel Architectures: Theory, Applications, Challenges. Dagstuhl Seminar Proceedings, Volume 5101, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{altman_et_al:DagSemProc.05101.2,
  author =	{Altman, Erik and Dehnert, James and Kessler, Christoph W. and Knoop, Jens},
  title =	{{05101 Executive Summary – Scheduling for Parallel Architectures: Theory, Applications, Challenges}},
  booktitle =	{Scheduling for Parallel Architectures: Theory, Applications, Challenges},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5101},
  editor =	{Erik Altman and James Dehnert and Christoph W. Kessler and Jens Knoop},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05101.2},
  URN =		{urn:nbn:de:0030-drops-3239},
  doi =		{10.4230/DagSemProc.05101.2},
  annote =	{Keywords: Instruction scheduling, task clustering, task merging, dynamic scheduling, multiprocessor scheduling, software pipelining, hierarchical malleable task}
}
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