tag:joss.theoj.org,2005:/papers/tagged/parallel%20computing?page=2Journal of Open Source Software2019-07-08T12:21:44ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/9822019-07-08T12:21:44Z2021-08-13T15:50:56ZslurmR: A lightweight wrapper for HPC with Slurmaccepted0.1-02019-05-02 21:13:05 UTC642019-07-08 12:21:44 UTC620211493GeorgeG VegaYonDepartment of Preventive Medicine, University of Southern California0000-0002-3171-0844PaulMarjoramDepartment of Preventive Medicine, University of Southern California0000-0003-0824-744910.21105/joss.01493https://doi.org/10.5281/zenodo.3272773R, Rebolhttps://joss.theoj.org/papers/10.21105/joss.01493.pdfhpc, batch, slurm, parallel computingtag:joss.theoj.org,2005:Paper/2552017-09-05T00:00:00Z2021-02-15T11:33:58Zschwimmbad: A uniform interface to parallel processing pools in Pythonacceptedv0.2.12017-08-11 14:59:55 UTC172017-09-05 00:00:00 UTC22017357AdrianM.Price-WhelanLyman Spitzer, Jr. Fellow, Princeton University0000-0003-0872-7098DanielForeman-MackeySagan Fellow, University of Washington0000-0002-9328-565210.21105/joss.00357https://doi.org/10.5281/zenodo.885577Pythonhttps://joss.theoj.org/papers/10.21105/joss.00357.pdfmultiprocessing, parallel computingtag:joss.theoj.org,2005:Paper/2122017-08-11T00:00:00Z2021-02-15T11:34:05ZLauncher: A simple tool for executing high throughput computing workloadsacceptedv3.12017-06-07 19:36:14 UTC162017-08-11 00:00:00 UTC22017289LucasA.WilsonTexas Advanced Computing Center, The University of Texas at Austin0000-0002-0686-3152JohnM.FonnerTexas Advanced Computing Center, The University of Texas at AustinJasonAllisonTexas Advanced Computing Center, The University of Texas at AustinOscarEstebanStanford UniversityHarryKenyaTexas Advanced Computing Center, The University of Texas at AustinMarshallLernerTexas Advanced Computing Center, The University of Texas at Austin10.21105/joss.00289https://doi.org/10.5281/zenodo.841337Pythonhttps://joss.theoj.org/papers/10.21105/joss.00289.pdftools, high throughput computing, parallel computing, distributed computingtag: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/1142017-02-12T00:00:00Z2021-02-15T11:34:22ZFRIEDA: Flexible Robust Intelligent Elastic Data Management Frameworkacceptedv0.3.02016-11-09 22:47:27 UTC102017-02-12 00:00:00 UTC22017164DevarshiGhoshalLawrence Berkeley National Lab0000-0002-6819-6949ValerieHendrixLawrence Berkeley National Lab0000-0001-9061-8952WilliamFoxLawrence Berkeley National Lab0000-0003-1751-5118SowmyaBalasubhramanianLawrence Berkeley National Lab0000-0003-1312-9092LavanyaRamakrishnanLawrence Berkeley National Lab0000-0003-1761-413210.21105/joss.00164https://doi.org/10.5281/zenodo.1345764Python, Smarty, Puppethttps://joss.theoj.org/papers/10.21105/joss.00164.pdfcomputational science, cloud computing, data management, scientific data management, parallel and distributed systemstag:joss.theoj.org,2005:Paper/72016-05-11T00:00:00Z2021-02-15T11:34:35ZApplication Skeleton: Generating Synthetic Applications for Infrastructure Researchacceptedv1.22016-05-11 15:38:44 UTC12016-05-11 00:00:00 UTC1201617ZhaoZhangAMPLab and BIDS, University of California, Berkeley0000-0001-5921-0035DanielS.KatzNational Center for Supercomputing Applications, University of Illinois Urbana-Champaign0000-0001-5934-7525AndreMerzkyRADICAL Laboratory, Rutgers University0000-0002-7228-4327MatteoTurilliRADICAL Laboratory, Rutgers University0000-0003-0527-1435ShantenuJhaRADICAL Laboratory, Rutgers University0000-0002-5040-026XYaduNandComputation Institute, University of Chicago0000-0002-9162-600310.21105/joss.00017https://doi.org/10.5281/zenodo.13750Python, Chttps://joss.theoj.org/papers/10.21105/joss.00017.pdfcomputational science, data science, application modeling, system modeling, performance modeling, parallel and distributed systems