  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.
