2 Search Results for "Platzer, Michael"

Document
DOI: 10.4230/LIPIcs.ECRTS.2021.1
Vicuna: A Timing-Predictable RISC-V Vector Coprocessor for Scalable Parallel Computation

Authors: Michael Platzer and Peter Puschner

Published in: LIPIcs, Volume 196, 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)

Abstract
In this work, we present Vicuna, a timing-predictable vector coprocessor. A vector processor can be scaled to satisfy the performance requirements of massively parallel computation tasks, yet its timing behavior can remain simple enough to be efficiently analyzable. Therefore, vector processors are promising for highly parallel real-time applications, such as advanced driver assistance systems and autonomous vehicles. Vicuna has been specifically tailored to address the needs of real-time applications. It features predictable and repeatable timing behavior and is free of timing anomalies, thus enabling effective and tight worst-case execution time (WCET) analysis while retaining the performance and efficiency commonly seen in other vector processors. We demonstrate our architecture’s predictability, scalability, and performance by running a set of benchmark applications on several configurations of Vicuna synthesized on a Xilinx 7 Series FPGA with a peak performance of over 10 billion 8-bit operations per second, which is in line with existing non-predictable soft vector-processing architectures.
Cite as

Michael Platzer and Peter Puschner. Vicuna: A Timing-Predictable RISC-V Vector Coprocessor for Scalable Parallel Computation. In 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 196, pp. 1:1-1:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

Copy BibTex To Clipboard

@InProceedings{platzer_et_al:LIPIcs.ECRTS.2021.1,
  author =	{Platzer, Michael and Puschner, Peter},
  title =	{{Vicuna: A Timing-Predictable RISC-V Vector Coprocessor for Scalable Parallel Computation}},
  booktitle =	{33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)},
  pages =	{1:1--1:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-192-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{196},
  editor =	{Brandenburg, Bj\"{o}rn B.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2021.1},
  URN =		{urn:nbn:de:0030-drops-139323},
  doi =		{10.4230/LIPIcs.ECRTS.2021.1},
  annote =	{Keywords: Real-time Systems, Vector Processors, RISC-V}
}
Document
DOI: 10.4230/DagSemProc.08422.10
Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes

Authors: Esther Platzer and Joachim Denzler

Published in: Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009)

Abstract
Wire ropes are exposed to huge external powers everyday. Therefore strict rules for a regular visual inspection exist. Many approaches for textural defect detection in textiles or other materials exist. However, until today no real possibility to control rope attributes like lay length or diameter over the whole rope curse exist. To meet this drawback we present an automatic inspection approach based on a geometric rope model. The parameters of the rope model are estimated over time given raw 2-d image data and local surface defects are located by comparison of the real data with a 2-d projection of the ideal model.
Cite as

Esther Platzer and Joachim Denzler. Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{platzer_et_al:DagSemProc.08422.10,
  author =	{Platzer, Esther and Denzler, Joachim},
  title =	{{Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08422.10},
  URN =		{urn:nbn:de:0030-drops-18602},
  doi =		{10.4230/DagSemProc.08422.10},
  annote =	{Keywords: Defect detection, visual inspection, analysis-by-synthesis}
}
  • Refine by Author
  • 1 Denzler, Joachim
  • 1 Platzer, Esther
  • 1 Platzer, Michael
  • 1 Puschner, Peter

  • Refine by Classification
  • 1 Computer systems organization → Real-time system architecture

  • Refine by Keyword
  • 1 Defect detection
  • 1 RISC-V
  • 1 Real-time Systems
  • 1 Vector Processors
  • 1 analysis-by-synthesis
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2009
  • 1 2021

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact