Iisy: hybrid in-network classification using programmable switches
The soaring use of machine learning leads to increasing processing demands. As data volume keeps growing, providing classification services with good machine learning performance, high throughput, low latency, and minimal equipment overheads becomes a challenge. Offloading machine learning tasks to...
Главные авторы: | Zheng, C, Xiong, Z, Bui, TT, Kaupmees, S, Bensoussane, R, Bernabeu, A, Vargaftik, S, Ben-Itzhak, Y, Zilberman, N |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
IEEE
2024
|
Схожие документы
-
In-network machine learning using programmable network devices: a survey
по: Zheng, C, и др.
Опубликовано: (2023) -
Planter: rapid prototyping of in-network machine learning inference
по: Zheng, C, и др.
Опубликовано: (2024) -
MTPSA: Multi-tenant programmable switches
по: Stoyanov, R, и др.
Опубликовано: (2020) -
Accelerating machine learning for trading using programmable switches
по: Hong, X, и др.
Опубликовано: (2024) -
dRMT: Disaggregated Programmable Switching
по: Chole, Sharad, и др.
Опубликовано: (2021)