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Software and Computing Round Table

Software & Computing Round Table on Reproducibility

In the Software & Computing Round Table on July 6, we will discuss Reproducibility

In light of the evergrowing role that Software & Computing play in High Energy Physics, Nuclear Physics, and related fields, Brookhaven National Laboratory, the HEP Software Foundation, and Jefferson Lab are organizing the Software & Computing Round Table to foster the interplay of computing and science. The monthly round table forum aims for knowledge transfer and to encourage common projects within our scientific community. A news story on "Nuclear Physics Data Demand More Powerful Processing" covers the history and goals of the Software & Computing Round Table with some insights on its organizers. 

NEW The recordings of the Software & Computing Round Table are now available on YouTube. 

Topics Community Activities; I/O for the Future; Best Practices for Software Projects; Data on the Network; User-Centered Design, Analysis I: Tools, Analysis II: Reproducibility.

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Topics Programming for Future Architectures; Frameworks for Greenfield Experiments; Data Management & Storage; Status of Monte Carlo; Data & Analysis Preservation; Access and Storage; Recap of "Future Trends in Nuclear Physics Computing"; Review of 2020. 

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Topics Review of 2018; NERSC-9 High Performance Computing System; Data Visualization; Streaming Readout Grand Challenge;  Computational Side of the Moon; Muon g-2, Hardware Performance and Utilization at JLab; JupyterLab. 

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Topics Amazon Web Services; Future of Lab Computing, Monte Carlo Tools; Quantum Computing; Go HEP, ESNET Roadmap; Open Source Licenses; S&T Recommendations; Data Analysis Tools; Scientific Computing on the Exascale, CERN openlab; Machine Learning Seminar. 

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Topics Julia, HEP Software Foundation; Open Science Grid; HepSim; Deep Learning, HEP CCE; NASA LaRC Data Science Tech Expo; Geometry Description; 2017 in Review. 

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Topics Self-Descriptive Data; Preparation for NP-ASCR Workshop; Update from NP-ASCR Workshop; Experimental and Observational Scientific Data Challenges and Opportunities; Jupyter project. 

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Topics Community Activities; I/O for the Future; Best Practices for Software Projects; Data on the Network; User-Centered Design, Analysis I: Tools, Analysis II: Reproducibility.

Topics Programming for Future Architectures; Frameworks for Greenfield Experiments; Data Management & Storage; Status of Monte Carlo; Data & Analysis Preservation; Access and Storage; Recap of "Future Trends in Nuclear Physics Computing"; Review of 2020. 

Topics Review of 2018; NERSC-9 High Performance Computing System; Data Visualization; Streaming Readout Grand Challenge;  Computational Side of the Moon; Muon g-2, Hardware Performance and Utilization at JLab; JupyterLab. 

Topics Amazon Web Services; Future of Lab Computing, Monte Carlo Tools; Quantum Computing; Go HEP, ESNET Roadmap; Open Source Licenses; S&T Recommendations; Data Analysis Tools; Scientific Computing on the Exascale, CERN openlab; Machine Learning Seminar. 

Topics Julia, HEP Software Foundation; Open Science Grid; HepSim; Deep Learning, HEP CCE; NASA LaRC Data Science Tech Expo; Geometry Description; 2017 in Review. 

Topics Self-Descriptive Data; Preparation for NP-ASCR Workshop; Update from NP-ASCR Workshop; Experimental and Observational Scientific Data Challenges and Opportunities; Jupyter project.