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Demonstration of Run-time Spatial Mapping of Streaming Applications to a Heterogeneous Multi-Processor System-on-Chip (MPSOC)

Authors: Philip K. F. Hölzenspies, Jan Kuper, Gerard J. M. Smit, and Johann Hurink

Published in: Dagstuhl Seminar Proceedings, Volume 7101, Quantitative Aspects of Embedded Systems (2007)

Abstract

In this paper, the problem of spatial mapping is defined. Reasons are presented to show why performing spatial mappings at run-time is both necessary and desirable and criteria for the qualitative comparison of spatial mappings are introduced. An algorithm is described that implements a preliminary spatial mapper. The methods used in the algorithm are demonstrated with an illustrative example.

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Philip K. F. Hölzenspies, Jan Kuper, Gerard J. M. Smit, and Johann Hurink. Demonstration of Run-time Spatial Mapping of Streaming Applications to a Heterogeneous Multi-Processor System-on-Chip (MPSOC). In Quantitative Aspects of Embedded Systems. Dagstuhl Seminar Proceedings, Volume 7101, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{holzenspies_et_al:DagSemProc.07101.4,
  author =	{H\"{o}lzenspies, Philip K. F. and Kuper, Jan and Smit, Gerard J. M. and Hurink, Johann},
  title =	{{Demonstration of Run-time Spatial Mapping of Streaming Applications to a Heterogeneous Multi-Processor System-on-Chip (MPSOC)}},
  booktitle =	{Quantitative Aspects of Embedded Systems},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7101},
  editor =	{Boudewijn Haverkort and Joost-Pieter Katoen and Lothar Thiele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07101.4},
  URN =		{urn:nbn:de:0030-drops-11382},
  doi =		{10.4230/DagSemProc.07101.4},
  annote =	{Keywords: Run-time spatial mapping, streaming applications, MPSoC}
}

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Documents authored by Hölzenspies, Philip K. F.

Demonstration of Run-time Spatial Mapping of Streaming Applications to a Heterogeneous Multi-Processor System-on-Chip (MPSOC)

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