The International Conference for High Performance Computing, Networking, Storage and Analysis
Network Traffic Monitoring and Analysis with GPUs.
Authors: Wenji Wu (Fermi National Accelerator Laboratory), Phil Demar (Fermi National Accelerator Laboratory)
Abstract: In high-speed networks (10 Gbps and above), network traffic monitoring and analysis applications that require scrutiny on a per-packet basis typically demand immense computing power and very high I/O throughputs. These applications case extreme performance and scalability challenges. At Fermilab, we have prototyped a GPU-accelerated architecture for network traffic capturing, monitoring, and analyzing. With a single NVIDIA M2070 GPU, our system can handle 11 million+ packets per second without packet drops. In this paper, we will describe our architectural approach in developing a generic GPU-assisted packet capture and analysis capability.