License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2019.15
URN: urn:nbn:de:0030-drops-107521
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10752/
Tessler, Corey ;
Fisher, Nathan
NPM-BUNDLE: Non-Preemptive Multitask Scheduling for Jobs with BUNDLE-Based Thread-Level Scheduling
Abstract
The BUNDLE and BUNDLEP scheduling algorithms are cache-cognizant thread-level scheduling algorithms and associated worst case execution time and cache overhead (WCETO) techniques for hard real-time multi-threaded tasks. The BUNDLE-based approaches utilize the inter-thread cache benefit to reduce WCETO values for jobs. Currently, the BUNDLE-based approaches are limited to scheduling a single task. This work aims to expand the applicability of BUNDLE-based scheduling to multiple task multi-threaded task sets.
BUNDLE-based scheduling leverages knowledge of potential cache conflicts to selectively preempt one thread in favor of another from the same job. This thread-level preemption is a requirement for the run-time behavior and WCETO calculation to receive the benefit of BUNDLE-based approaches. This work proposes scheduling BUNDLE-based jobs non-preemptively according to the earliest deadline first (EDF) policy. Jobs are forbidden from preempting one another, while threads within a job are allowed to preempt other threads.
An accompanying schedulability test is provided, named Threads Per Job (TPJ). TPJ is a novel schedulability test, input is a task set specification which may be transformed (under certain restrictions); dividing threads among tasks in an effort to find a feasible task set. Enhanced by the flexibility to transform task sets and taking advantage of the inter-thread cache benefit, the evaluation shows TPJ scheduling task sets fully preemptive EDF cannot.
BibTeX - Entry
@InProceedings{tessler_et_al:LIPIcs:2019:10752,
author = {Corey Tessler and Nathan Fisher},
title = {{NPM-BUNDLE: Non-Preemptive Multitask Scheduling for Jobs with BUNDLE-Based Thread-Level Scheduling}},
booktitle = {31st Euromicro Conference on Real-Time Systems (ECRTS 2019)},
pages = {15:1--15:23},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-110-8},
ISSN = {1868-8969},
year = {2019},
volume = {133},
editor = {Sophie Quinton},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10752},
URN = {urn:nbn:de:0030-drops-107521},
doi = {10.4230/LIPIcs.ECRTS.2019.15},
annote = {Keywords: Scheduling algorithms, Cache Memory, Multi-threading, Static Analysis}
}
Keywords: |
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Scheduling algorithms, Cache Memory, Multi-threading, Static Analysis |
Collection: |
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31st Euromicro Conference on Real-Time Systems (ECRTS 2019) |
Issue Date: |
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2019 |
Date of publication: |
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02.07.2019 |
Supplementary Material: |
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ECRTS 2019 Artifact Evaluation approved artifact available at https://dx.doi.org/10.4230/DARTS.5.1.2 |