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||Previous years: ||[[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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'''2016'''

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Projection algorithms for convex feasibility problems

Irina Artinescu, West University of Timisoara, Romania

 . March 16, 2016, 18:00, room 045C

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Anderson Localisation for matrix-valued operators

Hakim Boumaza, University Paris 13, France

 . March 4, 2016, 11:00, room 045C

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[[AbstractRochelleTractenberg|Appreciating the role of measurement -and its difficulties- in the validity of scientific research claims.]]

[[BioRochelleTractenberg|Rochelle Tractenberg]], Georgetown University, USA

 . January 27, 2016, 12:00, room A01

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'''2015'''

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[[AbstractPaulaCraciun|Wide area aerial surveillance: A point process approach to multiple object tracking]]

'''Paula Craciun''', INRIA Sophia-Antipolis, France
 . December 9, 2015, 18:00, room 045C

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[[AbstractMarcFrincu|Prediction and selection in smart grids. A practical approach]]

'''Marc Frincu''', West University of Timisoara

 . October 14, 2015, 18:00, room 045C


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[[AbstractChinWeiNgan|Program Verification and Specification Inference]]

[[BioChinWeiNgan|Chin Wei Ngan]], School of Computing, National University of Singapore

 . July 6, 2015, 11:00 AM

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[[AbstractDanMarinescu|Cloud Self-organization Based on Coalition Formation and Combinatorial Auctions]]

[[BioDanMarinescu|Dan C. Marinescu]], University of Central Florida, Orlando, USA

 . June 9, 2015

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[[AbstractIsabelaDramnesc|Automated Synthesis of Some Algorithms on Finite Sets]]

'''Isabela Dramnesc''', West University of Timisoara

 . May 13, 2015

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''Stock Market Trading System – Profitable Days and Critical Events Detection''

'''Monica Tirea''', West University of Timisoara

 . May 6, 2015

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[[AbstractIoanDragan|First-Order Theorem Proving for Program Analysis and Theory Reasoning]]

'''Ioan Dragan''', Institute e-Austria

 . April 22, 2015

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'' A distributed system for monitoring services and security in the cloud ''

'''Bogdan Irimie''', West University of Timisoara

 . April 1, 2015

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'' Transition between classical and semi-classical regime in an exactly solvable Schrodinger operator with a non C^1 potential ''

(joint work with Hakim Boumaza)

'''Olivier Lafitte''', University Paris 13

 . March 25, 2015

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[[AbstractChrisHarding|Business Value from Open Systems]]

'''Chris Harding''', Forum Director at The Open Group, UK

'' Can sophisticated computing ever help government? ''

'''Peter Winstanley''', Scottish Government, UK

 . March 18, 2015

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[[AbstractGabrielIstrate|Partition into heapable sequences, heap tableaux and a multiset extension of Hammersley’s process]]

'''Gabriel Istrate''', Universitatea de Vest din Timisoara

 . March 4, 2015
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.

ScientificSeminar (last edited 2024-05-29 06:16:35 by DanielaZaharie)