Jonathan Passerat-Palmbach
Présentation
Jonathan Passerat-Palmbach holds a PhD from Blaise Pascal University of Clermont-Ferrand (France). He is currently a research associate at Imperial College London, in the BioMedIA group. His work is focused on high performance computing tools and software engineering applied to simulation and medical image analysis.
Publications
Publications
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Privacy-preserving medical image analysisMED-NEURIPS 2020 : Medical Imaging meets NeurIPS, Dec 2020, Online, France |
Retour d'expérience de l'école OpenMOLE "ExModelo", organisée en partenariat avec le méso-centre du CRIANNJournées Calcul et Données 2019, Oct 2019, Toulouse, France |
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Fostering the use of methods for geosimulation models sensitivity analysis and validationECTQG 2019, Sep 2019, Mondorf, Luxembourg |
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Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuningIEEE High Performance Computing and Simulation conference 2015, Jun 2015, Amsterdam, Netherlands |
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OpenMOLE: a Workflow Engine for Distributed Medical Image AnalysisInternational Workshop on High Performance Computing for Biomedical Image Analysis (part of MICCAI 2014), Sep 2014, Boston, United States |
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Parallel stepwise stochastic simulation: Harnessing GPUs to Explore Possible Futures States of a Chromosome Folding Model Thanks to the Possible Futures Algorithm (PFA)SIGSIM-PADS’13 - ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), May 2013, Montreal, Canada. pp.169 - 177, ⟨10.1145/2486092.2486114⟩ |
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Prototyping Parallel Simulations on Manycore Architectures Using Scala: A Case StudyIEEE High Performance Computing and Simulation (HPCS) 2013, Jul 2013, Helsinki, Finland. pp.405 - 412, ⟨10.1109/HPCSim.2013.6641447⟩ |
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ThreadLocalMRG32k3a: A Statistically Sound Substitute to Pseudorandom Number Generation in Parallel Java ApplicationsIEEE High Performance Computing and Simulation conference 2012, Jul 2012, Madrid, Spain. pp.543 - 550, ⟨10.1109/HPCSim.2012.6266971⟩ |
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How to Correctly Deal With Pseudorandom Numbers in Manycore Environments - Application to GPU programming with ShoverandIEEE High Performance Computing and Simulation conference 2012, Jul 2012, Madrid, Spain. pp.25 - 31, ⟨10.1109/HPCSim.2012.6266887⟩ |
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Automatic Parallelization of a Gap Model using Java and OpenCLEuropean Simulation and Modelling Conference, Oct 2012, Essen, Belgium. pp.24-31 |
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Pseudo-Random Number Generation on GP-GPUIEEE/ACM/SCS Workshop on Principles of Advanced and Distributed Simulation, Jun 2011, Nice, France. ⟨10.1109/PADS.2011.5936751⟩ |
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Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPUEuropean Simulation and Modelling, Oct 2011, Guimaraes, Portugal |
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ShoveRand: a Model-Driven Framework to Easily Generate Random Numbers on GP-GPUIEEE/ACM International Conference on High Performance Computing and Simulation (HPCS), Jul 2011, Istanbul, Turkey. pp.41-48, ⟨10.1109/HPCSim.2011.5999805⟩ |
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Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics ProcessorsEuropean Simulation and Modelling 2010, Oct 2010, Essen, Belgium. pp.187 - 195 |
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OpenCL: A suitable solution to simplify and unify High Performance Computing developmentsFrederic Magoules. Patterns for Parallel Programming on GPUs, Saxe-Coburg Publications, pp.189-209, 2014, 978-1-874672-57-9 |
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Contributions to parallel stochastic simulation: Application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte-Carlo simulationsDistributed, Parallel, and Cluster Computing [cs.DC]. Université Blaise Pascal - Clermont-Ferrand II, 2013. English. ⟨NNT : ⟩ |