Publications
Publication Information
| Title | HOSS (Hall-D Online Skim System) |
| Authors | David Lawrence |
| JLAB number | JLAB-CST-21-007 |
| LANL number | 2104.14656 |
| Other number | DOE/OR/23177-5301 |
| Document Type(s) | (Meeting) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
|
Meeting Paper compiled for vCHEP 2021 (25th International Conference on Computing in High-Energy and Nuclear Physics) Proceedings HOSS! Edited By EPJ Web of Conferences (2021) Refereed Page(s) 04005 | |
| Publication 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 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. |
| Experiment Numbers: | |
| Group: | Scientific Computing |
| Document: | |
| DOI: | https://doi.org/10.1051/epjconf/202125104005 |
| Accepted Manuscript: | epjconf_chep2021_04005.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |