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GTC ON-DEMAND

Presentation
Media
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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Abstract:
We'll introduce the fundamental concepts behind NVIDIA GPUDirect and explain how GPUDirect technologies are leveraged to scale out performance. GPUDirect technologies can provide even faster results for compute-intensive workloads, including those running on a new breed of dense, GPU-Accelerated servers such as the Summit and Sierra supercomputers and the NVIDIA DGX line of servers.
We'll introduce the fundamental concepts behind NVIDIA GPUDirect and explain how GPUDirect technologies are leveraged to scale out performance. GPUDirect technologies can provide even faster results for compute-intensive workloads, including those running on a new breed of dense, GPU-Accelerated servers such as the Summit and Sierra supercomputers and the NVIDIA DGX line of servers.  Back
 
Topics:
HPC and AI, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9653
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Abstract:

Hear about the latest developments concerning the NVIDIA GPUDirect family of technologies, which are aimed at improving both the data and the control path among GPUs, in combination with third-party devices. We''ll introduce the fundamental concepts behind GPUDirect and present the latest developments, such as changes to the pre-existing APIs, the new APIs recently introduced. We''ll also discuss the expected performance in combination with the new computing platforms that emerged last year.

Hear about the latest developments concerning the NVIDIA GPUDirect family of technologies, which are aimed at improving both the data and the control path among GPUs, in combination with third-party devices. We''ll introduce the fundamental concepts behind GPUDirect and present the latest developments, such as changes to the pre-existing APIs, the new APIs recently introduced. We''ll also discuss the expected performance in combination with the new computing platforms that emerged last year.

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Topics:
HPC and AI, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8474
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Abstract:
Learn how to enable CUDA stream synchronous communications in your applications by employing novel GPUDirect features.
Learn how to enable CUDA stream synchronous communications in your applications by employing novel GPUDirect features.  Back
 
Topics:
HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7128
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