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| ||Previous years: ||[[ScientificSeminar/2016|2016]]||[[ScientificSeminar/2015|2015]] ||[[ScientificSeminar/2014|2014]] ||[[ScientificSeminar/2013|2013]] ||[[ScientificSeminar/2012|2012]] ||[[ScientificSeminar/2011|2011]] ||[[ScientificSeminar/2010|2010]] ||[[ScientificSeminar/2009|2009]] ||[[ScientificSeminar/2008|2008]] ||[[ScientificSeminar/2007|2007]] ||[[ScientificSeminar/2006|2006]] ||[[ScientificSeminar/2005|2005]] || | We present a novel parallel algorithm to solve fractional-order systems involving Caputo-types derivative. The numerical method used for finding the solution is Adams-Bashforth-Moulton (ABM) predictor-corrector scheme. Using MPI and OPENMP frameworks the algorithm was implemented to run on a BlueGene/P supercomputer. The same algorithm that ran on the BlueGene/P cluster was adapted to run on GPU and exploit the GPU's capabilities. A comparison between these approaches is presented by running numerical simulations of the same three-dimensional fractional-order systems. |
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| ---- '''2018''' ---- [[AbstractCiprianJichici|Quantum computing – The potential impact on Machine Learning]] Ciprian Jichici, CEO Genisoft & Microsoft Regional Director in Timișoara . March 14, 2018, 18:00, room 045C ---- '''2017''' ---- [[AbstractSorinGrigorescu|Self-learning Software for Predictive Systems in Autonomous Driving]] Sorin Grigorescu, University Transilvania of Brasov & Elektrobit Automotive Romania . December 13, 2017, 18:00, room 045C ---- [[AbstractAlexandruPopa|The interference problem in multi-channel wireless networks]] Alexandru Popa, University of Bucharest, Romania . October 11, 2017, 18:00, room 045C ---- The Impact of Autoscaling Polices on Web Workloads Mo'min I.M. Tabash, University of Pavia, Italy . June 7, 2017, 18:00, room 045C ---- [[AbstractAncaVulpe|Scheduling data stream jobs on distributed systems with background load]] Anca Vulpe, West University of Timisoara, Romania . May 10, 2017, 18:00, room 045C ---- [[AbstractViktorianMiok|Integrative modeling of time-course multi-level omics data from HPV-induced cervical carcinogenesis]] [[BioViktorianMiok|Viktorian Miok]], VU University Medical Center in Amsterdam, The Netherlands . May 3, 2017, 18:00, room 045C ---- [[AbstractHakimBoumaza|The band spectrum of the periodic Airy-Schrödinger operator on the real line]] ''Hakim Boumaza'', Universite Paris XIII, France . April 28, 2017, 9:40, room 104 ---- [[AbstractGuillameDucoffe|Revisiting Preferential Attachment with applications to Twitter]] [[attachment:slides-Ducoffe-Timisoara-PA.pdf]] [[BioGuillameDucoffe|Guillaume Ducoffe]], INRIA Sophia Antipolis, France . April 26, 2017, 18:00, room 045C ---- [[AbstractSorinStratulat|Mechanizing induction reasoning for first-order logic with inductive definitions]] ''Sorin Stratulat'', University of Lorraine, Metz, France . April 12, 2017, 18:00, room 045C ---- [[AbstractAdrianSpataru|Using Cluster Information to Predict Individual Customer Energy Consumption]] ''Adrian Spataru'', West University of Timisoara, Romania . April 5, 2017, 18:00, room 045C ---- [[AbstractTeodoraSelea|Empirical Evaluation of Numerical Mathematical Libraries]] ''Teodora Selea, Oana Brandibur'', Universitatea de Vest din Timisoara, Romania . March 22, 2017, 18:00, room 045C ---- [[AbstractValeriuBeiu|Deciphering the Low Level Reliability Schemes of the Brain]] [[attachment:ValeriuBeiu_Slides.pdf]] [[BioValeriuBeiu|Valeriu Beiu]], Universitatea Aurel Vlaicu, Arad, Romania . March 8, 2017, 18:00, room 045C |
The algorithm implemented in CUDA that approximates the solution using the ABM method was also adapted to use Diethelm's method. Having the same algorithm that runs on the same system, enables an accurate and practical comparison between the numerical methods. |
We present a novel parallel algorithm to solve fractional-order systems involving Caputo-types derivative. The numerical method used for finding the solution is Adams-Bashforth-Moulton (ABM) predictor-corrector scheme. Using MPI and OPENMP frameworks the algorithm was implemented to run on a BlueGene/P supercomputer. The same algorithm that ran on the BlueGene/P cluster was adapted to run on GPU and exploit the GPU's capabilities. A comparison between these approaches is presented by running numerical simulations of the same three-dimensional fractional-order systems.
The algorithm implemented in CUDA that approximates the solution using the ABM method was also adapted to use Diethelm's method. Having the same algorithm that runs on the same system, enables an accurate and practical comparison between the numerical methods.