Elena Agostini – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-06-27T23:59:16Z http://www.open-lab.net/blog/feed/ Elena Agostini <![CDATA[Unlocking GPU-Accelerated RDMA with NVIDIA DOCA GPUNetIO]]> http://www.open-lab.net/blog/?p=83998 2024-06-27T23:59:16Z 2024-06-13T20:43:59Z NVIDIA DOCA GPUNetIO is a library within the NVIDIA DOCA SDK, specifically designed for real-time inline GPU packet processing. It combines technologies like...]]>

NVIDIA DOCA GPUNetIO is a library within the NVIDIA DOCA SDK, specifically designed for real-time inline GPU packet processing. It combines technologies like GPUDirect RDMA and GPUDirect Async to enable the creation of GPU-centric applications where a CUDA kernel can directly communicate with the network interface card (NIC) for sending and receiving packets, bypassing the CPU and excluding it…

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Elena Agostini <![CDATA[Realizing the Power of Real-Time Network Processing with NVIDIA DOCA GPUNetIO]]> http://www.open-lab.net/blog/?p=68354 2023-10-23T17:15:37Z 2023-07-24T20:00:00Z Real-time processing of network traffic can be leveraged by the high degree of parallelism GPUs offer. Optimizing packet acquisition or transmission in these...]]>

Real-time processing of network traffic can be leveraged by the high degree of parallelism GPUs offer. Optimizing packet acquisition or transmission in these types of applications avoids bottlenecks and enables the overall execution to keep up with high-speed networks. In this context, DOCA GPUNetIO promotes the GPU as an independent component that can exercise network and compute tasks without…

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Elena Agostini <![CDATA[Inline GPU Packet Processing with NVIDIA DOCA GPUNetIO]]> http://www.open-lab.net/blog/?p=58850 2023-10-23T17:20:26Z 2022-12-14T22:00:00Z This post was updated May 8, 2023. A growing number of network applications need to exercise GPU real-time packet processing in order to implement high data...]]>

This post was updated May 8, 2023. A growing number of network applications need to exercise GPU real-time packet processing in order to implement high data rate solutions: data filtering, data placement, network analysis, sensors’ signal processing, and more. One primary motivation is the high degree of parallelism that the GPU can enable to process in parallel multiple packets while…

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Elena Agostini <![CDATA[Boosting Inline Packet Processing Using DPDK and GPUdev with GPUs]]> http://www.open-lab.net/blog/?p=46566 2023-10-23T17:21:50Z 2022-04-29T03:39:55Z The inline processing of network packets using GPUs is a packet-analysis technique useful to a number of different application domains: signal processing,...]]>

The inline processing of network packets using GPUs is a packet-analysis technique useful to a number of different application domains: signal processing, network security, information gathering, input reconstruction, and so on. The main requirement of these application types is to move received packets into GPU memory as soon as possible, to trigger the CUDA kernel responsible to execute…

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