2 Search Results for "Hönig, Timo"

Document
DOI: 10.4230/DagRep.12.8.31
Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341)

Authors: Kerstin I. Eder, Timo Hönig, Daniel Mosse, Max Plauth, and Maja Hanne Kirkeby

Published in: Dagstuhl Reports, Volume 12, Issue 8 (2023)

Abstract
This report documents the program and outcomes of the Dagstuhl Seminar 22341 - Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES). The seminar was held on Aug 21 – Aug 26, 2022, and brought together 35 international experts from different domains across the entire system stack – from system designers to programmers and operators. We present the abstracts of 18 talks and 5 summaries of discussions and active sessions on the principal topic areas: Energy Transparency from Hardware to Software, Energy Optimisation and Management, Computing for Sustainability, Green Computing Hackathon, and Disruptive Paradigms.
Cite as

Kerstin I. Eder, Timo Hönig, Daniel Mosse, Max Plauth, and Maja Hanne Kirkeby. Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341). In Dagstuhl Reports, Volume 12, Issue 8, pp. 31-59, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{eder_et_al:DagRep.12.8.31,
  author =	{Eder, Kerstin I. and H\"{o}nig, Timo and Mosse, Daniel and Plauth, Max and Kirkeby, Maja Hanne},
  title =	{{Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341)}},
  pages =	{31--59},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{8},
  editor =	{Eder, Kerstin I. and H\"{o}nig, Timo and Mosse, Daniel and Plauth, Max and Kirkeby, Maja Hanne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.8.31},
  URN =		{urn:nbn:de:0030-drops-177140},
  doi =		{10.4230/DagRep.12.8.31},
  annote =	{Keywords: energy, heterogeneous computing, operating systems, power, systems}
}
Document
DOI: 10.4230/OASIcs.WCET.2015.33
GenE: A Benchmark Generator for WCET Analysis

Authors: Peter Wägemann, Tobias Distler, Timo Hönig, Volkmar Sieh, and Wolfgang Schröder-Preikschat

Published in: OASIcs, Volume 47, 15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015)

Abstract
The fact that many benchmarks for evaluating worst-case execution time (WCET) analysis tools are based on real-world applications greatly increases the value of their results. However, at the same time, the complexity of these programs makes it difficult, sometimes even impossible, to obtain all corresponding flow facts (i.e., loop bounds, infeasible paths, and input values triggering the WCET), which are essential for a comprehensive evaluation. In this paper, we address this problem by presenting GenE, a benchmark generator that in addition to source code also provides the flow facts of the benchmarks created. To generate a new benchmark, the tool combines code patterns that are commonly found in real-time applications and are challenging for WCET analyzers. By keeping track of how patterns are put together, GenE is able to determine the flow facts of the resulting benchmark based on the known flow facts of the patterns used. Using this information, it is straightforward to synthesize the accurate WCET, which can then serve as a baseline for the evaluation of WCET analyzers.
Cite as

Peter Wägemann, Tobias Distler, Timo Hönig, Volkmar Sieh, and Wolfgang Schröder-Preikschat. GenE: A Benchmark Generator for WCET Analysis. In 15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015). Open Access Series in Informatics (OASIcs), Volume 47, pp. 33-43, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{wagemann_et_al:OASIcs.WCET.2015.33,
  author =	{W\"{a}gemann, Peter and Distler, Tobias and H\"{o}nig, Timo and Sieh, Volkmar and Schr\"{o}der-Preikschat, Wolfgang},
  title =	{{GenE: A Benchmark Generator for WCET Analysis}},
  booktitle =	{15th International Workshop on Worst-Case Execution Time Analysis (WCET 2015)},
  pages =	{33--43},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-95-8},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{47},
  editor =	{Cazorla, Francisco J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2015.33},
  URN =		{urn:nbn:de:0030-drops-52545},
  doi =		{10.4230/OASIcs.WCET.2015.33},
  annote =	{Keywords: WCET, benchmark generation, flow facts, WCET Tool Challenge}
}
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