简单递归神经网络的光计算系统架构研究

Impact Pub Date : 2024-01-22 DOI:10.21820/23987073.2024.1.51
Satoshi Kawakami
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摘要

与计算机速度和功能相关的摩尔定律已越来越不适用。在这个 "后摩尔 "时代,日本九州大学构造电子学实验室的一个跨学科团队正在研究光学计算系统基础设施,以期推动计算技术向前发展,不再需要遵循摩尔定律。川上聪(Satoshi Kawakami)副教授是电路和计算机架构方面的专家,也是该团队的成员之一。该团队的专业知识涵盖材料、设备、电路、架构和算法,致力于在后摩尔时代开拓新的计算技术。川上认为,要实现可持续的先进信息社会,就必须不断改进计算机系统,使其具有更高的性能和更低的功耗/能耗,并希望在系统层面最大限度地发挥设备的优势,掩盖其劣势,这就需要与更高的系统层合作。另一个重要目标是通过提高计算机的效率来降低功耗。在当前的一个项目中,研究人员正在探索用于简单递归神经网络的光学计算系统基础设施。研究小组希望从整个系统(包括电子存储器和接口)的角度重新审视光路的理想状态。
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Research on optical computing system architecture for simple recurrent neural networks
Moore’s Law, relating to the speed and capabilities of computers is becoming less applicable. In this ‘post-Moore’ era, a cross-disciplinary team based in the Constructive Electronics Laboratory, Kyushu University, Japan, is investigating optical computing system infrastructures, with a view to driving computing technology forward in a way that negates the need to comply with Moore’s Law. Associate Professor Satoshi Kawakami is an expert in electric circuits and computer architecture who is part of the team. The team’s expertise covers materials, devices, circuits, architectures and algorithms and is geared towards pioneering new computing technologies in the post-Moore era. Kawakami believes that the continuous improvement of computer systems with higher performance and lower power consumption/energy consumption will be essential to realise a sustainable advanced information society and wants to maximise the advantages of devices and hide their disadvantages at the system level, which will necessitate collaboration with higher system layers. Another important goal is reducing power consumption by improving the efficiency of computers. In one current project, the researchers are exploring optical computing system infrastructure for simple recurrent neural networks. The team is keen to re-examine the ideal state of optical circuits from the perspective of the entire system, including electrical memory and interfaces.
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