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Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing

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arxiv 2403.05037 v1 pith:3SIF3EDX submitted 2024-03-08 cs.AR eess.SP

classification cs.AReess.SP
keywords lightatorprocessingacceleratoracceleratorsacquisitioncompressiveconsumptionedge
verification ladder T0 review T1 audit T2 compute T3 formal
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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 ~24x and 73x on average compared with existing photonic accelerators and GPU baseline.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics

    cs.AR 2025-07 conditional novelty 6.0 of 10

    A near-sensor vision transformer accelerator combines VCSEL-microring photonic matrix multiplication with region-of-interest patch pruning, reporting 100.4 KFPS/W and up to 84% energy savings.

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