Hovedsiden > HOSS! |
Talk | ||||||
Title | HOSS! | |||||
Video |
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Author(s) | Lawrence, David (speaker) (Jefferson Lab) | |||||
Corporate author(s) | CERN. Geneva | |||||
Imprint | 2021-05-19. - 697. | |||||
Series | (Conferences) (25th International Conference on Computing in High Energy & Nuclear Physics) | |||||
Lecture note | on 2021-05-19T17:40:00 | |||||
Subject category | Conferences | |||||
Abstract | The Hall-D Online Skim System (HOSS) was developed to simultaneously solve two issues for the high intensity GlueX experiment. One was to parallelize the writing of raw data files to disk in order to improve bandwidth. The other was to distribute the raw data across multiple compute nodes in order to produce calibration \textit{skims} of the data online. The highly configurable system employs RDMA, RAM disks, and zeroMQ driven by Python to simultaneously store and process the full high intensity GlueX data stream. | |||||
Copyright/License | © 2021-2024 CERN | |||||
Submitted by | [email protected] |