Abstract:

We have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations at Fermilab. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.

Paper available at IEEE.