https://puma.ub.uni-stuttgart.de/tag/Multicore%20ParallelizationPUMA RSS feed for /tag/Multicore%20Parallelization2026-04-22T13:18:49+02:00https://puma.ub.uni-stuttgart.de/bibtex/207908a9de6488c702fcde927f25b954e/isw-bibliothekisw-bibliothek2016-03-03T09:53:12+01:00CNC ISW Multicore Parallelization xkt <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthias Keinert" itemprop="url" href="/person/1dda7cb22d7be3b08660ce2d060f4bbb3/author/0"><span itemprop="name">M. Keinert</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Kaiser" itemprop="url" href="/person/1dda7cb22d7be3b08660ce2d060f4bbb3/author/1"><span itemprop="name">B. Kaiser</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Armin Lechler" itemprop="url" href="/person/1dda7cb22d7be3b08660ce2d060f4bbb3/author/2"><span itemprop="name">A. Lechler</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Verl" itemprop="url" href="/person/1dda7cb22d7be3b08660ce2d060f4bbb3/author/3"><span itemprop="name">A. Verl</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 24th International Conference on Flexible Automation &amp; Intelligent Manufacturing FAIM 2014</span>, </em></span><em>page <span itemprop="pagination">pp. 79-86</span>. </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Thu Mar 03 09:53:12 CET 2016Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing FAIM 2014pp. 79-86Analysis of CNC Software Modules regarding Parallelization Capability2014CNC ISW Multicore Parallelization xkt The software design of current CNC systems is of limited suitability for real parallel execution on multicore systems. Even though CNC systems are rudimentarily designed in a modular way, a good load balancing andtherefore an efficient use of multiple processor cores is not satisfactorily to be accomplished, as the modularization is not sophisticated enough. A parallelization of CNC functions and algorithms would remedy this deficit. Thispaper presents an analysis on which parts of a CNC system show the capability for parallelization. Furthermore an approach is presented on how the parallelization of a specific function, namely the look-ahead function, can be accomplished.