Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909132126158848 |
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| author | Morsali, Mehrdad Reidy, Brendan Najafi, Deniz Tabrizchi, Sepehr Imani, Mohsen Nikdast, Mahdi Roohi, Arman Zand, Ramtin Angizi, Shaahin |
| author_facet | Morsali, Mehrdad Reidy, Brendan Najafi, Deniz Tabrizchi, Sepehr Imani, Mohsen Nikdast, Mahdi Roohi, Arman Zand, Ramtin Angizi, Shaahin |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_05037 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing Morsali, Mehrdad Reidy, Brendan Najafi, Deniz Tabrizchi, Sepehr Imani, Mohsen Nikdast, Mahdi Roohi, Arman Zand, Ramtin Angizi, Shaahin Hardware Architecture Signal Processing 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. |
| title | Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing |
| topic | Hardware Architecture Signal Processing |
| url | https://arxiv.org/abs/2403.05037 |