3 Search Results for "Little, James J."


Document
Machine Learning in Sports (Dagstuhl Seminar 21411)

Authors: Ulf Brefeld, Jesse Davis, Martin Lames, and James J. Little

Published in: Dagstuhl Reports, Volume 11, Issue 9 (2022)


Abstract
Data about sports have long been the subject of research and analysis by sports scientists. The increasing size and availability of these data have also attracted the attention of researchers in machine learning, computer vision and artificial intelligence. However, these communities rarely interact. This seminar aimed to bring together researchers from these areas to spur an interdisciplinary approach to these problems. The seminar was organized around five different themes that were introduced with tutorial and overview style talks about the key concepts to facilitate knowledge exchange among researchers with different backgrounds and approaches to data-based sports research. These were augmented by more in-depth presentations on specific problems or techniques. There was a panel discussion by practitioners on the difficulties and lessons learned about putting analytics into practice. Finally, we came up with a number of conclusions and next steps.

Cite as

Ulf Brefeld, Jesse Davis, Martin Lames, and James J. Little. Machine Learning in Sports (Dagstuhl Seminar 21411). In Dagstuhl Reports, Volume 11, Issue 9, pp. 45-63, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@Article{brefeld_et_al:DagRep.11.9.45,
  author =	{Brefeld, Ulf and Davis, Jesse and Lames, Martin and Little, James J.},
  title =	{{Machine Learning in Sports (Dagstuhl Seminar 21411)}},
  pages =	{45--63},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{9},
  editor =	{Brefeld, Ulf and Davis, Jesse and Lames, Martin and Little, James J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.9.45},
  URN =		{urn:nbn:de:0030-drops-159178},
  doi =		{10.4230/DagRep.11.9.45},
  annote =	{Keywords: machine learning, artificial intelligence, sports science, computer vision, explanations, visualization, tactics, health, biomechanics}
}
Document
Artifact
Simultaneous Multithreading Applied to Real Time (Artifact)

Authors: Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson

Published in: DARTS, Volume 5, Issue 1, Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019)


Abstract
Existing models used in real-time scheduling are inadequate to take advantage of simultaneous multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. The SMART task model, which allows for combining SMT and real time by accounting for the variable task execution costs caused by SMT, is introduced, along with methods and conditions for scheduling SMT tasks under global earliest-deadline-first scheduling. The benefits of using SMT are demonstrated through a large-scale schedulability study in which we show that task systems with utilizations 30% larger than what would be schedulable without SMT can be correctly scheduled. This artifact includes benchmark experiments used to compare execution times with and without SMT and code to duplicate the reported schedulability experiments.

Cite as

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading Applied to Real Time (Artifact). In Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Dagstuhl Artifacts Series (DARTS), Volume 5, Issue 1, pp. 8:1-8:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@Article{osborne_et_al:DARTS.5.1.8,
  author =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  title =	{{Simultaneous Multithreading Applied to Real Time}},
  pages =	{8:1--8:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{1},
  editor =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.5.1.8},
  URN =		{urn:nbn:de:0030-drops-107362},
  doi =		{10.4230/DARTS.5.1.8},
  annote =	{Keywords: real-time systems, simultaneous multithreading, soft real-time, scheduling algorithms}
}
Document
Simultaneous Multithreading Applied to Real Time

Authors: Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson

Published in: LIPIcs, Volume 133, 31st Euromicro Conference on Real-Time Systems (ECRTS 2019)


Abstract
Existing models used in real-time scheduling are inadequate to take advantage of simultaneous multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. The SMART task model, which allows for combining SMT and real time by accounting for the variable task execution costs caused by SMT, is introduced, along with methods and conditions for scheduling SMT tasks under global earliest-deadline-first scheduling. The benefits of using SMT are demonstrated through a large-scale schedulability study in which we show that task systems with utilizations 30% larger than what would be schedulable without SMT can be correctly scheduled.

Cite as

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading Applied to Real Time. In 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 133, pp. 3:1-3:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@InProceedings{osborne_et_al:LIPIcs.ECRTS.2019.3,
  author =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  title =	{{Simultaneous Multithreading Applied to Real Time}},
  booktitle =	{31st Euromicro Conference on Real-Time Systems (ECRTS 2019)},
  pages =	{3:1--3:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-110-8},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{133},
  editor =	{Quinton, Sophie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2019.3},
  URN =		{urn:nbn:de:0030-drops-107400},
  doi =		{10.4230/LIPIcs.ECRTS.2019.3},
  annote =	{Keywords: real-time systems, simultaneous multithreading, soft real-time, scheduling algorithms}
}
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