• Software and Computing Round Table

Software and Computing Round Table

In light of the evergrowing role that software and computing play in high energy physics, nuclear physics, and related fields, Brookhaven National Laboratory and Jefferson Lab have organized 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. 

There will be no Software & Computing Round Table in August. In September we organize the "Future Trends in Nuclear Physics Computing" workshop. The online workshop will be held on September 29 - October 1, 2020. 

Topics Programming for Future Architectures, Frameworks for Greenfield Experiments, Data Management & Storage, Status of Monte Carlo, Data & Analysis Preservation

Topics Review of 2018, NERSC-9 High Performance Computing System, Data Visualization, Streaming Readout Grand Challenge, Computational Side of the Moon, Muon g-2, 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, 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

Topics Programming for Future Architectures, Frameworks for Greenfield Experiments, Data Management & Storage, Status of Monte Carlo, Data & Analysis Preservation

Topics Review of 2018, NERSC-9 High Performance Computing System, Data Visualization, Streaming Readout Grand Challenge, Computational Side of the Moon, Muon g-2, 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, 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