REDWOOD Summer Workshop
Workshop Scope and Goals: REDWOOD is a small collaboration of investigators from diverse fields of physical sciences combining their efforts to solve the very difficult challenge of complex workflows on large volumes of data distributed across multiple systems. The collaboration includes the University of Pittsburgh, Carnegie Mellon University, The University of Massachussets (Amherst), Brookhaven National Laboratory, Oak Ridge National Laboratory, and SLAC. Their efforts are set to benefit the ATLAS experiment, the Vera Rubin Observatory, and Fusion experiments at ORNL. Workflow management involves the software infrastructure to manage the processing steps which may include simulation, reconstruction, data analysis, or near real-time acquisition and processing of experimental data. Currently, for example, in ATLAS, over 1 million computational tasks execute concurrently on thousands of compute nodes. The collaboration operates on four tracks: Workflow algorithms, near real-time applications, workflow monitoring, and modeling & simulation of workflow. The geographically dispersed collaboration meets 2-3 times per year to insure sufficient contact between the four subgroups.
Dates: July 21-25 2025. A mini-workshop on distributed computing in ATLAS and CMS experiments with discussion sessions with experts, intended for co-PIs is held at CERN in parallel with a hackathon for junior collaborations at the workshop site in Conthey during the first two days; this is followed by an All-Hands meeting during the final three days, in Conthey.ย
Location: Tour Lombarde, Conthey Switzerland
Mini-Workshop: CERN, Geneva Switzerland
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Banquet venue: TBA
Local Organizers: Joe Boudreau, Raees Khan, Tania Korchuganova
External Organizers: Alexei Klimentov
The Zoom room link for the conference is: https://cern.zoom.us/j/68411518927
- Passcode: 89864368
To acquire the Zoom room password, kindly send an email to any of the individuals listed in the Contact section.
A registration fee of CHF 200/Person will be collected at the workshop
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