Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing

• URL: http://arxiv.org/abs/2303.12910v1
• Date: Wed, 22 Mar 2023 21:03:40 GMT
• Title: Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing
• Authors: Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
• Abstract summary: We show how cross-layer design can overcome challenges in non-coherent optical computing platforms. Non-coherent optical computing represents a promising approach for light-speed acceleration of AI workloads.
• Score: 5.188712126001397
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Emerging AI applications such as ChatGPT, graph convolutional networks, and other deep neural networks require massive computational resources for training and inference. Contemporary computing platforms such as CPUs, GPUs, and TPUs are struggling to keep up with the demands of these AI applications. Non-coherent optical computing represents a promising approach for light-speed acceleration of AI workloads. In this paper, we show how cross-layer design can overcome challenges in non-coherent optical computing platforms. We describe approaches for optical device engineering, tuning circuit enhancements, and architectural innovations to adapt optical computing to a variety of AI workloads. We also discuss techniques for hardware/software co-design that can intelligently map and adapt AI software to improve its performance on non-coherent optical computing platforms.

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