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Documents authored by Kästner, Daniel


Document
TimeWeaver: A Tool for Hybrid Worst-Case Execution Time Analysis

Authors: Daniel Kästner, Markus Pister, Simon Wegener, and Christian Ferdinand

Published in: OASIcs, Volume 72, 19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019)


Abstract
Many embedded control applications have real-time requirements. If the application is safety-relevant, worst-case execution time bounds have to be determined in order to demonstrate deadline adherence. For high-performance multi-core architectures with degraded timing predictability, WCET bounds can be computed by hybrid WCET analysis which combines static analysis with timing measurements. This article focuses on a novel tool for hybrid WCET analysis based on non-intrusive instruction-level real-time tracing.

Cite as

Daniel Kästner, Markus Pister, Simon Wegener, and Christian Ferdinand. TimeWeaver: A Tool for Hybrid Worst-Case Execution Time Analysis. In 19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019). Open Access Series in Informatics (OASIcs), Volume 72, pp. 1:1-1:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


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@InProceedings{kastner_et_al:OASIcs.WCET.2019.1,
  author =	{K\"{a}stner, Daniel and Pister, Markus and Wegener, Simon and Ferdinand, Christian},
  title =	{{TimeWeaver: A Tool for Hybrid Worst-Case Execution Time Analysis}},
  booktitle =	{19th International Workshop on Worst-Case Execution Time Analysis (WCET 2019)},
  pages =	{1:1--1:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-118-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{72},
  editor =	{Altmeyer, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2019.1},
  URN =		{urn:nbn:de:0030-drops-107661},
  doi =		{10.4230/OASIcs.WCET.2019.1},
  annote =	{Keywords: Worst-Case Execution Time (WCET) Analysis, Real-time Tracing, Functional Safety}
}
Document
Worst-Case Timing Estimation and Architecture Exploration in Early Design Phases

Authors: Stefana Nenova and Daniel Kästner

Published in: OASIcs, Volume 10, 9th International Workshop on Worst-Case Execution Time Analysis (WCET'09) (2009)


Abstract
Selecting the right computing hardware and configuration at the beginning of an industrial project is an important and highly risky task, which is usually done without much tool support, based on experience gathered from previous projects. We present TimingExplorer - a tool to assist in the exploration of alternative system configurations in early design phases. It is based on AbsInt’s aiT WCET Analyzer and provides a parameterizable core that represents a typical architecture of interest. TimingExplorer requires (representative) source code and enables its user to take an informed decision which processor configurations are best suited for his/her needs. A suite of TimingExplorers will facilitate the process of determining what processors to use and it will reduce the risk of timing problems becoming obvious only late in the development cycle and leading to a redesign of large parts of the system.

Cite as

Stefana Nenova and Daniel Kästner. Worst-Case Timing Estimation and Architecture Exploration in Early Design Phases. In 9th International Workshop on Worst-Case Execution Time Analysis (WCET'09). Open Access Series in Informatics (OASIcs), Volume 10, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{nenova_et_al:OASIcs.WCET.2009.2280,
  author =	{Nenova, Stefana and K\"{a}stner, Daniel},
  title =	{{Worst-Case Timing Estimation and Architecture Exploration in Early Design Phases}},
  booktitle =	{9th International Workshop on Worst-Case Execution Time Analysis (WCET'09)},
  pages =	{1--11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-14-9},
  ISSN =	{2190-6807},
  year =	{2009},
  volume =	{10},
  editor =	{Holsti, Niklas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2009.2280},
  URN =		{urn:nbn:de:0030-drops-22807},
  doi =		{10.4230/OASIcs.WCET.2009.2280},
  annote =	{Keywords: WCET estimation, architecture exploration WCET estimation, architecture exploration}
}
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