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.
RECORDINGS The recordings of the Software & Computing Round Table are available on YouTube.
Topics Year in Review and 2023 Outlook
Topics Programming Languages; Data Management II; Experiments Starting Up; Workflow and Workload Management Systems; Streaming Readout; Analysis III: Techniques and Tools; Electron-Ion Collider.
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; Streaming Readout; Detector Simulations; 2021 in Review.
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; Strategic Initiatives for 2019 and Beyond; Machine Learning Planning Exercise; NERSC-9 High Performance Computing System; Data Visualization; Streaming Readout Grand Challenge; Computational Side of the Moon; Scientific Computing at muon-g2 and Jefferson Lab; 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.