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全模拟光电子芯片用于高速视觉任务
Yitong Chen1, Maimaiti Nazhamaiti2, Han Xu2
1Department of Automation, Tsinghua University, Beijing, China.
Nature
|October 25, 2023
概括
这项研究介绍了ACCEL,这是一款用于光子计算的全模拟芯片,可实现视觉数据处理的卓越速度和能源效率. ACCEL克服了当前系统的局限性,实现更快,更高效的AI应用.
科学领域:
- 光电子产品
- 光子计算
- 人工智能硬件
背景情况:
- 光子计算为更快,更节能的视觉数据处理提供了潜力.
- 现有系统面临着光学非线性,模拟数字转换器 (ADC) 的高功耗和噪声脆弱性的挑战.
研究的目的:
- 提出并通过实验展示一个结合电子和光计算 (ACCEL) 的全模拟芯片.
- 克服当前光子计算系统的局限性以实现实际部署.
主要方法:
- 开发了一个全模拟芯片 (ACCEL),集成电子和光学计算组件.
- 采用衍射光学计算来提取特征,直接利用光诱导的光电流进行模拟计算.
- 综合适应性培训用于联合光电子计算优化.
主要成果:
- ACCEL实现了每瓦每秒74.8 peta操作和每秒4.6 peta操作的计算速度 (超过99%的光学).
- 在没有ADC的情况下,每72 ns的低计算延迟.
- 在低光条件下实现了竞争性分类准确度 (85.5%时尚-MNIST,82.0%图像网,92.6%视频识别).
结论:
- 在光子计算方面,ACCEL是一个显著的进步,在速度和能效方面提供了实质性的改进.
- 拟议的架构有效地解决了关键挑战,为可穿戴设备和自动驾驶等领域的实际应用铺平了道路.
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