@inproceedings{9f05b3207af943eaa4b8d5c4acf9a6b7,
title = "Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing",
abstract = "This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered by photonic devices, Lightator features innovative compressive acquisition of input frames and fine-grained convolution operations for low-power and versatile image processing at the edge for the first time. This will substantially diminish the energy consumption and latency of conversion, transmission, and processing within the established cloud-centric architecture as well as recently designed edge accelerators. Our device-to-architecture simulation results show that with favorable accuracy, Lightator achieves 84.4 Kilo FPS/W and reduces power consumption by a factor of ∼24× and 73× on average compared with existing photonic accelerators and GPU baseline.",
author = "Mehrdad Morsali and Brendan Reidy and Deniz Najafi and Sepehr Tabrizchi and Mohsen Imani and Mahdi Nikdast and Arman Roohi and Ramtin Zand and Shaahin Angizi",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 61st ACM/IEEE Design Automation Conference, DAC 2024 ; Conference date: 23-06-2024 Through 27-06-2024",
year = "2024",
month = nov,
day = "7",
doi = "10.1145/3649329.3656261",
language = "English (US)",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024",
address = "United States",
}