liu.seSearch for publications in DiVA
Change search
Refine search result
1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Doherty, Patrick
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab.
    Haslum, Patrik
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab.
    Heintz, Fredrik
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab.
    Merz, Torsten
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, AUTTEK - Autonomous Unmanned Aerial Vehicle Research Group .
    Nyblom, Per
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab.
    Persson, Tommy
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, AUTTEK - Autonomous Unmanned Aerial Vehicle Research Group .
    Wingman, Björn
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, AUTTEK - Autonomous Unmanned Aerial Vehicle Research Group .
    A Distributed Architecture for Autonomous Unmanned Aerial Vehicle Experimentation2004In: 7th International Symposium on Distributed Autonomous Robotic Systems,2004, Toulouse: LAAS , 2004, p. 221-Conference paper (Refereed)
  • 2.
    Engman, Måns
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Persson, Tommy
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Fritzson, Peter
    Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
    Generating Parallel Graphics Code from Symbolic-algebra Specifications1998Conference paper (Refereed)
  • 3.
    Fritzson, Dag
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Fritzson, Peter
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Nordling, Patrik
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Persson, Tommy
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Rolling Bearing Simulation on MIMD Computers1997In: The international journal of high performance computing applications, ISSN 1094-3420, E-ISSN 1741-2846, Vol. 11, no 4, p. 299-313Article in journal (Refereed)
    Abstract [en]

    Rolling bearing simulations are very computationally in tensive. Serial simulations may take weeks to execute, and there is a need to use the potential of parallel comput ing. The specific structure of the rolling bearing problem is used to develop suitable scheduling strategies. The authors discuss the system of stiff ordinary differential equations arising from a bearing model and show how to numerically solve these ordinary differential equations on parallel computers. Benchmarking results are presented for two test cases on three platforms.

  • 4.
    Persson, Tommy
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Fritzson, Peter
    Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
    Parallel implementation of image reconstruction for the CARABAS long-wave penetrating radar1996In: High-Performance Computing and Networking / [ed] Heather Liddel, lAdrian Colbrook, Bob Hertzberger, Peter Sloot, Springer Berlin/Heidelberg, 1996, p. 327-332Conference paper (Refereed)
    Abstract [en]

    CARABAS (Coherent All RAdio BAnd Sensing) is a new type of radar that has the unique property of being able to penetrate through vegetation, and to some extent into upper levels of soil depending on water content. This can be done by using long radar waves in the range 3–15 meters, and new algorithms for image reconstruction from information in reflected radar waves. These algorithms are related to methods used for computer tomography, and are very computationally expensive. Two classes of algorithms for image reconstruction are direct Fourier methods and filtered backprojection. Even though filtered backprojection is more computationally demanding, we chose that method since it is easier to parallelize, it has better real-time properties, and it is easier to compensate for disturbances and achieve good image quality.

    In this paper we report results from the first parallel implementation of the CARABAS algorithms. The benchmarking was done on a Parsytec PowerGC MIMD computer with 128 PowerPC 601 processors. We come close to achieving the real-time requirement for significant parts of the computation.

1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf