| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 6 | |
| Section | Online Computing | |
| DOI | https://doi.org/10.1051/epjconf/202125104005 | |
| Published online | 23 August 2021 | |
https://doi.org/10.1051/epjconf/202125104005
HOSS!
Thomas Jefferson National Accelerator Facility
* e-mail: davidl@jlab.org
Published online: 23 August 2021
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 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.
© The Authors, published by EDP Sciences, 2021
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