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<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="https://puma.ub.uni-stuttgart.de/tag/Parallelization%20Partitioning"><owl:Ontology rdf:about=""><rdfs:comment>PUMA publications for /tag/Parallelization%20Partitioning</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/27a2df7ee14b092a6580c0c50c1d034e7/isw-bibliothek"><owl:sameAs rdf:resource="/uri/bibtex/27a2df7ee14b092a6580c0c50c1d034e7/isw-bibliothek"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.sciencedirect.com/science/article/pii/S2212827115011002"/><swrc:date>Sun Mar 13 16:06:36 CET 2016</swrc:date><swrc:journal>Procedia \{CIRP\} </swrc:journal><swrc:note>Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th \{CIRP\} Conference on Manufacturing Systems </swrc:note><swrc:pages>864 - 869</swrc:pages><swrc:title>Analysis and Design of Computerized Numerical Controls for Execution on Multi-core Systems </swrc:title><swrc:volume>41</swrc:volume><swrc:year>2016</swrc:year><swrc:keywords>CNC ISW Multi-core Parallelization Partitioning xkt </swrc:keywords><swrc:abstract>Abstract Multi-core processors offer a performance increment compared to single-core platforms. This leap in performance is desired to be ported to computerized numerical controls. However, in order to profit of the benefits multi-core processors can bring, the software has to be tailored to real parallel execution. In this paper a concept is proposed for partitioning numerical control software functions for being concurrently executed on multi-core systems. Specifically, the interpreter and the cutter radius compensation modules have been analyzed for devising a feasible parallel architecture. The parser algorithm has been implemented following the proposed scheme in a thread-based approach. Experiments were conducted under a real time Linux kernel extension utilizing the PREEMPT_RT patch. The results were compared against its serial version in terms of execution times to validate the concept. </swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2212-8271" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.1016/j.procir.2015.12.021" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="José María Vivanco"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Matthias Keinert"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Armin Lechler"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Alexander Verl"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><foaf:Group rdf:about="https://puma.ub.uni-stuttgart.de/tag/Parallelization%20Partitioning"><foaf:name>Parallelization Partitioning</foaf:name><description>Community for tag(s) Parallelization Partitioning</description></foaf:Group></rdf:RDF>