tag:joss.theoj.org,2005:/papers/tagged/high%20throughput%20computingJournal of Open Source Software2020-08-03T16:09:58ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/17072020-08-03T16:09:58Z2021-02-15T11:30:34ZkiwiPy: Robust, high-volume, messaging for big-data and computational science workflowsacceptedv0.6.02020-06-03 17:07:48 UTC522020-08-03 16:09:58 UTC520202351MartinUhrinDepartment of Energy Conversion and Storage, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark, National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, Theory and Simulation of Materials (THEOS), Faculté des Sciences et Techniques de l’Ingénieur, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland0000-0001-6902-1289SebastiaanP.HuberNational Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, Theory and Simulation of Materials (THEOS), Faculté des Sciences et Techniques de l’Ingénieur, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland10.21105/joss.02351https://doi.org/10.5281/zenodo.3970461Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02351.pdfpython, high-throughput computing, message broker, scientific workflows, fault-tolerant 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 computing