tag:joss.theoj.org,2005:/papers/tagged/parallel%20computingJournal of Open Source Software2023-10-03T20:23:42ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/46002023-10-03T20:23:42Z2023-10-04T10:38:48ZepiworldR: Fast Agent-Based Epi Modelsaccepted0.0-22023-07-13 15:39:41 UTC902023-10-03 20:23:42 UTC820235781DerekMeyerDivision of Epidemiology, University of Utah, Salt Lake City, UT, United States of America0009-0005-1350-6988GeorgeG VegaYonDivision of Epidemiology, University of Utah, Salt Lake City, UT, United States of America0000-0002-3171-084410.21105/joss.05781https://doi.org/10.5281/zenodo.8327345R, M4, C++https://joss.theoj.org/papers/10.21105/joss.05781.pdfABM, epiworldR, parallel computingtag:joss.theoj.org,2005:Paper/43862023-08-10T20:44:28Z2023-08-14T09:04:08ZGMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systemsacceptedv1.0.02023-04-04 20:31:28 UTC882023-08-10 20:44:28 UTC820235476XiangyunLeiToyota Research Institute, Los Altos, CA, United States of America0000-0002-2333-9205JosephMontoyaToyota Research Institute, Los Altos, CA, United States of America0000-0001-5760-286010.21105/joss.05476https://doi.org/10.5281/zenodo.8170029Python, C++, Chttps://joss.theoj.org/papers/10.21105/joss.05476.pdfParallelization, Machine Learning, Chemistry, Molecular Dynamicstag:joss.theoj.org,2005:Paper/34442022-06-25T17:36:18Z2022-06-26T00:01:16ZpyABC: Efficient and robust easy-to-use approximate Bayesian computationaccepted0.12.22022-03-26 22:08:05 UTC742022-06-25 17:36:18 UTC720224304YannikSchälteFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany, Institute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany0000-0003-1293-820XEmmanuelKlingerInstitute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany, Department of Connectomics, Max Planck Institute for Brain Research, Frankfurt, GermanyEmadAlamoudiFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany0000-0002-9129-4635JanHasenauerFaculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany, Institute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany, Center for Mathematics, Technical University Munich, Garching, Germany0000-0002-4935-331210.21105/joss.04304https://doi.org/10.5281/zenodo.6677826Python, Makohttps://joss.theoj.org/papers/10.21105/joss.04304.pdfapproximate Bayesian computation, ABC, likelihood-free inference, high-performance computing, parallel, sequential Monte Carlotag:joss.theoj.org,2005:Paper/32942022-06-09T14:33:25Z2022-06-10T00:01:17ZGridapDistributed: a massively parallel finite element toolbox in Juliaacceptedv0.2.42022-01-18 08:34:54 UTC742022-06-09 14:33:25 UTC720224157SantiagoBadiaSchool of Mathematics, Monash University, Clayton, Victoria, 3800, Australia., Centre Internacional de Mètodes Numèrics en Enginyeria, Esteve Terrades 5, E-08860 Castelldefels, Spain.0000-0003-2391-4086AlbertoF.MartínSchool of Mathematics, Monash University, Clayton, Victoria, 3800, Australia.0000-0001-5751-4561FrancescVerdugoCentre Internacional de Mètodes Numèrics en Enginyeria, Esteve Terrades 5, E-08860 Castelldefels, Spain.0000-0003-3667-443X10.21105/joss.04157https://doi.org/10.5281/zenodo.6622081Juliahttps://joss.theoj.org/papers/10.21105/joss.04157.pdfPartial Differential Equations, Finite Elements, Distributed memory parallelization, High Performance Computingtag:joss.theoj.org,2005:Paper/27492021-09-01T13:37:15Z2021-09-02T00:01:24Zmpi4jax: Zero-copy MPI communication of JAX arraysacceptedv0.3.02021-06-10 18:15:15 UTC652021-09-01 13:37:15 UTC620213419DionHäfnerNiels Bohr Institute, University of Copenhagen, Copenhagen, Denmark0000-0002-4465-7317FilippoVicentiniInstitute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland10.21105/joss.03419https://doi.org/10.5281/zenodo.5337529https://joss.theoj.org/papers/10.21105/joss.03419.pdfPython, JAX, MPI, high performance computing, parallel computingtag:joss.theoj.org,2005:Paper/23892021-07-10T07:21:32Z2021-07-11T00:01:32ZNyx: A Massively Parallel AMR Code for Computational Cosmologyaccepted21.02.12021-02-13 02:00:37 UTC632021-07-10 07:21:32 UTC620213068JeanSextonCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory0000-0003-2551-1678ZarijaLukicComputational Cosmology Center, Lawrence Berkeley National LaboratoryAnnAlmgrenCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory0000-0003-2103-312XChrisDaleyNational Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USABrianFriesenNational Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA0000-0002-1572-1631AndrewMyersCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory0000-0001-8427-8330WeiqunZhangCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory0000-0001-8092-197410.21105/joss.03068https://doi.org/10.5281/zenodo.5059767C++, Fortranhttps://joss.theoj.org/papers/10.21105/joss.03068.pdfcosmology, hydrodynamics, dark matter, N-bodytag:joss.theoj.org,2005:Paper/23482021-05-30T19:46:41Z2021-05-31T00:00:48ZCLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architecturesacceptedv0.072021-01-22 04:21:53 UTC612021-05-30 19:46:41 UTC620213038MalteBrunnInstitute for Parallel and Distributed Systems, University StuttgartNaveenHimthaniOden Institute for Computational Engineering and Sciences, The University of Texas at AustinGeorgeBirosOden Institute for Computational Engineering and Sciences, The University of Texas at AustinMiriamMehlInstitute for Parallel and Distributed Systems, University StuttgartAndreasMangDepartment of Mathematics, University of Houston0000-0003-4605-329010.21105/joss.03038https://doi.org/10.5281/zenodo.4837427C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.03038.pdfGPUs, parallel computing, high performance computing, large deformation diffeomorphic registration, optimal control, medical imagingtag:joss.theoj.org,2005:Paper/14732021-01-16T14:52:59Z2021-02-15T11:31:01ZfastSF: A parallel code for computing the structure functions of turbulenceacceptedv1.0.02020-02-06 12:49:58 UTC572021-01-16 14:52:59 UTC620212185ShubhadeepSadhukhanDepartment of Physics, Indian Institute of Technology Kanpur, Kanpur 208016, India0000-0002-7278-5041ShashwatBhattacharyaDepartment of Mechanical Engineering, Indian Institute of Technology Kanpur 208016, India0000-0001-7462-7680MahendraK.VermaDepartment of Physics, Indian Institute of Technology Kanpur, Kanpur 208016, India0000-0002-3380-456110.21105/joss.02185https://doi.org/10.5281/zenodo.4420031Python, C++https://joss.theoj.org/papers/10.21105/joss.02185.pdfstructure functions, turbulence, fluid dynamicstag:joss.theoj.org,2005:Paper/15832020-07-16T07:46:48Z2021-02-15T11:30:53ZldaPrototype: A method in R to get a Prototype of multiple Latent Dirichlet Allocationsacceptedv0.1.12020-03-10 15:00:29 UTC512020-07-16 07:46:48 UTC520202181JonasRiegerTU Dortmund University0000-0002-0007-447810.21105/joss.02181https://doi.org/10.5281/zenodo.3945836Rhttps://joss.theoj.org/papers/10.21105/joss.02181.pdftopic modeling, natural language processing, text data, tuning, model selection, high performance computing, parallelizationtag:joss.theoj.org,2005:Paper/11422020-03-07T07:54:19Z2021-02-15T11:31:51ZPakman: a modular, efficient and portable tool for approximate Bayesian inferenceacceptedv1.0.02019-08-01 05:06:45 UTC472020-03-07 07:54:19 UTC520201716ThomasF.PakMathematical Institute, University of Oxford0000-0002-7198-7688RuthE.BakerMathematical Institute, University of Oxford0000-0002-6304-9333JoeM.Pitt-FrancisDepartment of Computer Science, University of Oxford0000-0002-5094-540310.21105/joss.01716https://doi.org/10.5281/zenodo.3697312C++, Chttps://joss.theoj.org/papers/10.21105/joss.01716.pdfMPI, approximate Bayesian computation, Bayesian inference, parallel computing, distributed computing