Planter: Rapid prototyping of in-network machine learning inference

C Zheng, M Zang, X Hong, L Perreault… - ACM SIGCOMM …, 2024 - dl.acm.org
In-network machine learning inference provides high throughput and low latency. It is ideally
located within the network, power efficient, and improves applications' performance. Despite …
被引用次数：9 相关文章

Planter: rapid prototyping of in-network machine learning inference

C Zheng, M Zang, X Hong, L Perreault… - ACM SIGCOMM …, 2024 - ora.ox.ac.uk
In-network machine learning inference provides high throughput and low latency. It is ideally
located within the network, power efficient, and improves applications' performance. Despite …
[PDF] ox.ac.uk

[PDF][PDF] Planter: Rapid Prototyping of In-Network Machine Learning Inference

C Zheng, M Zang, X Hong, L Perreault, R Bensoussane… - eng.ox.ac.uk
In-network machine learning inference provides high throughput and low latency. It is ideally
located within the network, power efficient, and improves applications' performance. Despite …

[引用][C] Planter: Rapid Prototyping of In-Network Machine Learning Inference

C Zheng, M Zang, X Hong, L Perreault, R Bensoussane… - changgang-zheng.github.io
Using programmable network devices to aid in-network machine learning has been the
focus of significant research. This work presents Planter, an open-source, modular …