Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 37c008f6-30d8-4197-9da7-c76c41c8b2b9Builds on2
- CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network AcceleratorFebin Sunny, Asif Mirza, Mahdi Nikdast, Sudeep PasrichaDAC 2021 · 92 citations
- Albireo: Energy-Efficient Acceleration of Convolutional Neural Networks via Silicon PhotonicsKyle Shiflett, Avinash Karanth, Razvan C. Bunescu, Ahmed LouriISCA 2021 · 44 citations
Related papers
- LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the EdgeTianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao et al.ISCA 2023 · 27 citations
- Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer AcceleratorHanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang et al.HPCA 2024 · 44 citations
- PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network AcceleratorShurui Li, Hangbo Yang, Chee Wei Wong, Volker J. Sorger et al.HPCA 2023 · 18 citations
- An Efficient Deep Learning Accelerator for Compressed Video AnalysisYongchen Wang, Ying Wang, Huawei Li, Yinhe Han et al.DAC 2020 · 4 citations
- PIXEL: Photonic Neural Network AcceleratorKyle Shiflett, Dylan Wright, Avinash Karanth, Ahmed LouriHPCA 2020 · 56 citations
