暂无分享,去创建一个
Petros Koumoutsakos | Sergio M. Martin | Georgios Arampatzis | Daniel Wälchli | Sergio M. Martin | P. Koumoutsakos | G. Arampatzis | Daniel Wälchli
[1] Samuel Williams,et al. The Landscape of Parallel Computing Research: A View from Berkeley , 2006 .
[2] Petros Koumoutsakos,et al. Remember and Forget for Experience Replay , 2018, ICML.
[3] Peter V. Coveney,et al. FabSim: Facilitating computational research through automation on large-scale and distributed e-infrastructures , 2015, Comput. Phys. Commun..
[4] Petros Koumoutsakos,et al. Bayesian selection for coarse-grained models of liquid water , 2018, Scientific Reports.
[5] Michael S. Eldred,et al. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's reference manual. , 2010 .
[6] Petros Koumoutsakos,et al. Load Balancing in Large Scale Bayesian Inference , 2020, PASC.
[7] Mark A. Girolami,et al. BioBayes: A software package for Bayesian inference in systems biology , 2008, Bioinform..
[8] S. Suresh,et al. Nonlinear elastic and viscoelastic deformation of the human red blood cell with optical tweezers. , 2004, Mechanics & chemistry of biosystems : MCB.
[9] George Em Karniadakis,et al. A multiscale red blood cell model with accurate mechanics, rheology, and dynamics. , 2010, Biophysical journal.
[10] Tim Bray,et al. Internet Engineering Task Force (ietf) the Javascript Object Notation (json) Data Interchange Format , 2022 .
[11] Hamid Arabnejad,et al. Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations , 2019, ICCS.
[12] Costas Papadimitriou,et al. Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo , 2018 .
[14] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[15] Laxmikant V. Kalé,et al. Multi-Level Load Balancing with an Integrated Runtime Approach , 2018, 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).
[16] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[17] H N Graham,et al. Maté , 2019, Progress in clinical and biological research.
[18] Costas Papadimitriou,et al. Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models , 2015, J. Comput. Phys..
[19] Gaute T. Einevoll,et al. Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience , 2018, bioRxiv.
[20] J. Conrad,et al. Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module , 2017, 1705.07959.
[21] Franck Nicoud,et al. How should the optical tweezers experiment be used to characterize the red blood cell membrane mechanics? , 2017, Biomechanics and Modeling in Mechanobiology.
[22] Petros Koumoutsakos,et al. Mirheo: High-Performance Mesoscale Simulations for Microfluidics , 2019, Comput. Phys. Commun..
[23] Gilles Clermont,et al. APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification , 2018, Comput. Chem. Eng..
[24] Scott B. Baden,et al. UPC++: A High-Performance Communication Framework for Asynchronous Computation , 2019, 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[25] J. Ching,et al. Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging , 2007 .
[26] Erika Cule,et al. ABC-SysBio—approximate Bayesian computation in Python with GPU support , 2010, Bioinform..
[27] Costas Papadimitriou,et al. Fusing heterogeneous data for the calibration of molecular dynamics force fields using hierarchical Bayesian models. , 2016, The Journal of chemical physics.
[28] Sophia Lefantzi,et al. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. , 2011 .
[29] Steve Plimpton,et al. Fast parallel algorithms for short-range molecular dynamics , 1993 .
[30] Chwee Teck Lim,et al. Connections between single-cell biomechanics and human disease states: gastrointestinal cancer and malaria. , 2005, Acta biomaterialia.
[31] Thomas M. Fischer,et al. Threshold shear stress for the transition between tumbling and tank-treading of red blood cells in shear flow: dependence on the viscosity of the suspending medium , 2013, Journal of Fluid Mechanics.
[32] Tom Heskes,et al. BCM: toolkit for Bayesian analysis of Computational Models using samplers , 2016, BMC Systems Biology.
[33] Scott B. Baden,et al. MATE, a Unified Model for Communication-Tolerant Scientific Applications , 2018, LCPC.
[34] Karl W. Schulz,et al. The Parallel C++ Statistical Library 'QUESO': Quantification of Uncertainty for Estimation, Simulation and Optimization , 2011, Euro-Par Workshops.
[35] Petros Koumoutsakos,et al. Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) , 2003, Evolutionary Computation.
[36] Jonathan M. Cornell,et al. GAMBIT: the global and modular beyond-the-standard-model inference tool , 2017, The European Physical Journal C.
[37] Margaret H. Wright,et al. The opportunities and challenges of exascale computing , 2010 .