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GTC ON-DEMAND

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Abstract:
Many applications like telemetry, intrusion detection and anomaly detection can be accelerated by doing Packet Processing on a GPU. Using a GPU will also enable applying ML/DL for smarter Packet Processing. However, one of the bottlenecks to do Packet Processing on a GPU is to be able to ingest data at high bandwidth and low latency. The recent developments in this field will be reviewed in this session. Following this, the latest development from Nvidia along with preliminary benchmarking results will be presented. Nvidia has extended DPDK library to leverage direct RDMA to GPU memory, enabling close to line rate ingestion of network data into a GPU on 100GigE networks.
Many applications like telemetry, intrusion detection and anomaly detection can be accelerated by doing Packet Processing on a GPU. Using a GPU will also enable applying ML/DL for smarter Packet Processing. However, one of the bottlenecks to do Packet Processing on a GPU is to be able to ingest data at high bandwidth and low latency. The recent developments in this field will be reviewed in this session. Following this, the latest development from Nvidia along with preliminary benchmarking results will be presented. Nvidia has extended DPDK library to leverage direct RDMA to GPU memory, enabling close to line rate ingestion of network data into a GPU on 100GigE networks.  Back
 
Topics:
5G & Edge, Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9730
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