IOI: In-network Optical Inference

Zhizhen Zhong, Weiyang Wang, M. Ghobadi, Alexander Sludds, R. Hamerly, Liane Bernstein, D. Englund
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引用次数: 7

Abstract

We present In-network Optical Inference (IOI), a system providing low-latency machine learning inference by leveraging programmable switches and optical matrix multiplication. IOI consists of a novel transceiver module designed specifically to perform linear operations such as matrix multiplication in the optical domain. IOI's transceivers are plugged into programmable switches to perform non-linear activation and respond to inference queries. We demonstrate how to process inference queries inside the network, without the need to send the queries to cloud or edge inference servers, thus significantly reducing end-to-end inference latency experienced by users. We believe IOI is the next frontier for exploring real-time machine learning systems and opens up exciting new opportunities for low-latency in-network inference.
IOI:网络内光推断
我们提出了网络内光学推理(IOI),这是一个通过利用可编程开关和光矩阵乘法提供低延迟机器学习推理的系统。IOI由一种新型收发模块组成,专门设计用于在光域中执行线性运算,如矩阵乘法。IOI的收发器插入可编程开关以执行非线性激活并响应推理查询。我们演示了如何在网络内部处理推理查询,而不需要将查询发送到云或边缘推理服务器,从而大大减少了用户经历的端到端推理延迟。我们相信IOI是探索实时机器学习系统的下一个前沿,并为低延迟网络内推理开辟了令人兴奋的新机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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