https://puma.ub.uni-stuttgart.de/tag/Approximation%20SimTech%20computingPUMA RSS feed for /tag/Approximation%20SimTech%20computing2026-04-04T06:05:01+02:00https://puma.ub.uni-stuttgart.de/bibtex/2b9d42307aff55f949dce3efdc063ee86/clausbraunclausbraun2018-03-19T16:15:07+01:00Euler-Maruyama GPU SimTech adaptive aggregation approximation computing heterogeneous ligand-receptor-model multi-timescale myown parallel particle simulation <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Schöll" itemprop="url" href="/person/18b3950b9a31a28b554ce868d67598d14/author/0"><span itemprop="name">A. Schöll</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Claus Braun" itemprop="url" href="/person/18b3950b9a31a28b554ce868d67598d14/author/1"><span itemprop="name">C. Braun</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Markus Daub" itemprop="url" href="/person/18b3950b9a31a28b554ce868d67598d14/author/2"><span itemprop="name">M. Daub</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guido Schneider" itemprop="url" href="/person/18b3950b9a31a28b554ce868d67598d14/author/3"><span itemprop="name">G. Schneider</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hans-Joachim Wunderlich" itemprop="url" href="/person/18b3950b9a31a28b554ce868d67598d14/author/4"><span itemprop="name">H. Wunderlich</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 IEEE International Conference on Bioinformatics and Biomedicine (BIBM&#039;14)</span>, </em></span><em>page <span itemprop="pagination">424--431</span>. </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>Mon Mar 19 16:15:07 CET 2018Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM'14)424--431{Adaptive Parallel Simulation of a Two-Timescale-Model for Apoptotic Receptor-Clustering on GPUs}2014Euler-Maruyama GPU SimTech adaptive aggregation approximation computing heterogeneous ligand-receptor-model multi-timescale myown parallel particle simulation Computational biology contributes important solutions for major biological challenges. Unfortunately, most applications in computational biology are highly computeintensive and associated with extensive computing times. Biological problems of interest are often not treatable with traditional simulation models on conventional multi-core CPU systems. This interdisciplinary work introduces a new multi-timescale simulation model for apoptotic receptor-clustering and a new parallel evaluation algorithm that exploits the computational performance of heterogeneous CPU-GPU computing systems. For this purpose, the different dynamics involved in receptor-clustering are separated and simulated on two timescales. Additionally, the time step sizes are adaptively refined on each timescale independently. This new approach improves the simulation performance significantly and reduces computing times from months to hours for observation times of several seconds.