Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event. The "Coffea-casa" prototype analysis facility is an effort to provide users with alternate mechanisms to access computing resources and enable new programming paradigms. Instead of the command-line interface and asynchronous batch access, a notebook-based web interface and interactive computing is provided. Instead of writing event loops, the column-based Coffea library is used. In this paper, we describe the architectural components of the facility, the services offered to end-users, and how it integrates into a larger ecosystem for data access and authentication.
@article{arxiv.2103.01871,
title = {Coffea-casa: an analysis facility prototype},
author = {Matous Adamec and Garhan Attebury and Kenneth Bloom and Brian Bockelman and Carl Lundstedt and Oksana Shadura and John Thiltges},
journal= {arXiv preprint arXiv:2103.01871},
year = {2021}
}
Comments
Submitted as proceedings fo 25th International Conference on Computing in High-Energy and Nuclear Physics (https://indico.cern.ch/event/948465/)