Toward GPU-centric Networking on Commodity Hardware

Author:

Girondi Massimo1ORCID,Scazzariello Mariano1ORCID,Maguire Gerald Q.1ORCID,Kostić Dejan1ORCID

Affiliation:

1. KTH Royal Institute of Technology, Stockholm, Sweden

Funder

European Research Council

Publisher

ACM

Reference40 articles.

1. [n. d.]. RDMA core userspace library. https://github.com/linux-rdma/rdma-core

2. Elena Agostini et al. 2023. Realizing the Power of Real-Time Network Processing with NVIDIA DOCA GPUNetIO. https://developer.nvidia.com/blog/realizing-the-power-of-real-time-network-processing-with- nvidia-doca-gpunetio/

3. Guido Appenzeller et al. 2023. Navigating the High Cost of AI Compute. https://a16z.com/navigating-the-high-cost-of-ai-compute/

4. Luiz Barroso et al. 2017. Attack of the Killer Microseconds. Commun. ACM 60 4 (2017).

5. Alexis Bjorlin. 2022. Infrastructure for Large Scale AI: "Empowering Open". https://drive.google.com/file/d/1qqjo-5JtYAcRlK_LWYuQFH-b9MoFOP02/view

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