tag:joss.theoj.org,2005:/papers/tagged/High-performance?page=4Journal of Open Source Software2018-11-19T23:17:31ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/7192018-11-19T23:17:31Z2021-02-15T11:32:49ZShenfun: High performance spectral Galerkin computing platformaccepted1.2.02018-11-07 13:26:17 UTC312018-11-19 23:17:31 UTC320181071MikaelMortensenUniversity of Oslo, Department of Mathematics0000-0002-3293-757310.21105/joss.01071https://doi.org/10.5281/zenodo.1491713Pythonhttps://joss.theoj.org/papers/10.21105/joss.01071.pdfSpectral Galerkin, Fourier, Chebyshev, Legendre, MPItag:joss.theoj.org,2005:Paper/6142018-11-06T06:41:25Z2021-02-15T11:33:02Zipc: An R Package for Inter-process Communicationaccepted0.1.02018-09-06 16:13:08 UTC312018-11-06 06:41:25 UTC32018988IanE.FellowsFellows Statistics, http://www.fellstat.com0000-0003-1261-092510.21105/joss.00988https://doi.org/10.5281/zenodo.1478139Rhttps://joss.theoj.org/papers/10.21105/joss.00988.pdfHigh Performance Computing, Interactive Visualizationtag:joss.theoj.org,2005:Paper/5382018-10-01T13:06:31Z2021-02-15T11:33:15ZMaDaTS: Managing Data on Tiered Storage for Scientific Workflowsacceptedv1.1.22018-07-03 20:22:59 UTC302018-10-01 13:06:31 UTC32018830DevarshiGhoshalLawrence Berkeley National Lab0000-0002-6819-6949LavanyaRamakrishnanLawrence Berkeley National Lab0000-0003-1761-413210.21105/joss.00830https://doi.org/10.5281/zenodo.1439288Pythonhttps://joss.theoj.org/papers/10.21105/joss.00830.pdfscientific workflows, data management, multi-tiered storage, data abstractions, high performance computing, burst buffertag:joss.theoj.org,2005:Paper/3582018-06-26T13:41:50Z2021-02-15T11:33:41ZLimbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient OptimizationacceptedV2.02018-01-22 15:06:54 UTC262018-06-26 13:41:50 UTC32018545AntoineCullyPersonal Robotics Lab, Imperial College London, London, United Kingdom0000-0002-3190-7073KonstantinosChatzilygeroudisInria, CNRS, Université de Lorraine, LORIA, Nancy, France0000-0003-3585-1027FedericoAllocatiInria, CNRS, Université de Lorraine, LORIA, Nancy, FranceJean-BaptisteMouretInria, CNRS, Université de Lorraine, LORIA, Nancy, France0000-0002-2513-027X10.21105/joss.00545https://doi.org/10.5281/zenodo.1298561C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.00545.pdfGaussian Processes, Bayesian Optimization, C++11tag:joss.theoj.org,2005:Paper/4712018-04-25T10:27:20Z2021-02-15T11:33:27ZGeoStats.jl -- High-performance geostatistics in Juliaacceptedv0.6.02018-04-21 16:22:34 UTC242018-04-25 10:27:20 UTC32018692JúlioHoffimannStanford University0000-0003-2789-297X10.21105/joss.00692https://doi.org/10.5281/zenodo.1228609Juliahttps://joss.theoj.org/papers/10.21105/joss.00692.pdfGeostatistics, Inverse problems, Random processes, Spatial statistics, Variography, Kriging, Estimation, Simulationtag:joss.theoj.org,2005:Paper/3592018-01-26T16:42:22Z2021-02-15T11:33:41ZThe drake R package: a pipeline toolkit for reproducibility and high-performance computingacceptedv5.0.02018-01-26 06:30:46 UTC212018-01-26 16:42:22 UTC32018550WilliamMichaelLandauEli Lilly and Company0000-0003-1878-325310.21105/joss.00550https://doi.org/10.5281/zenodo.1160697Rhttps://joss.theoj.org/papers/10.21105/joss.00550.pdfreproducibility, high-performance computing, pipeline, workflow, Maketag:joss.theoj.org,2005:Paper/1172017-02-22T00:00:00Z2021-02-15T11:34:21Zbatchtools: Tools for R to work on batch systemsacceptedv0.9.02016-11-17 09:10:37 UTC102017-02-22 00:00:00 UTC22017135MichelLangTU Dortmund University0000-0001-9754-0393BerndBischlLMU Munich0000-0001-6002-6980DirkSurmannTU Dortmund University0000-0003-0873-137X10.21105/joss.00135https://doi.org/10.5281/zenodo.293835R, C, Rebolhttps://joss.theoj.org/papers/10.21105/joss.00135.pdfR - high-performance computing - batch systems - parallelizationtag:joss.theoj.org,2005:Paper/1382017-02-18T00:00:00Z2021-02-15T11:34:18Zbíogo: a simple high-performance bioinformatics toolkit for the Go languageacceptedv1.0.02017-01-05 22:32:47 UTC102017-02-18 00:00:00 UTC22017167RDanielKortschakSchool of Biological Sciences, The University of Adelaide0000-0001-8295-2301JoshBleecherSnyderNone0000-0001-8327-7643ManolisMaragkakisDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania0000-0002-3158-1763DavidL.AdelsonSchool of Biological Sciences, The University of Adelaide0000-0003-2404-563610.21105/joss.00167https://doi.org/10.5281/zenodo.292939Go, Roffhttps://joss.theoj.org/papers/10.21105/joss.00167.pdfbioinformatics, toolkit, golang