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...
主要な著者: | Zheng, C, Xiong, Z, Bui, TT, Kaupmees, S, Bensoussane, R, Bernabeu, A, Vargaftik, S, Ben-Itzhak, Y, Zilberman, N |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
IEEE
2024
|
類似資料
-
In-network machine learning using programmable network devices: a survey
著者:: Zheng, C, 等
出版事項: (2023) -
Planter: rapid prototyping of in-network machine learning inference
著者:: Zheng, C, 等
出版事項: (2024) -
MTPSA: Multi-tenant programmable switches
著者:: Stoyanov, R, 等
出版事項: (2020) -
Accelerating machine learning for trading using programmable switches
著者:: Hong, X, 等
出版事項: (2024) -
dRMT: Disaggregated Programmable Switching
著者:: Chole, Sharad, 等
出版事項: (2021)