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MARCH: Magnetic Architectures for Reservoir Computing Hardware

三月：油藏计算硬件的磁性架构

基本信息

批准号：
EP/V006029/1
负责人：
Susan Stepney
金额：
$ 148.07万
依托单位：
University of York
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FV006029%2F1
关键词：
MARCH Magnetic Architectures Reservoir Computing

项目摘要

Classical digital computing is power hungry, fragile, and hard to interface to the analogue real world.Unconventional computers such as in materio Reservoir Computers (RCs) can help overcome these issues, particularly by being able to perform embodied computation that can directly exploit the natural dynamics of their material composition, thereby dramatically reducing the power requirements. Such devices have been proven in principle, but systems need to be scaled up to provide sufficient and appropriate computational power for real world tasks. Furthermore, a range of device configurations are needed to support different computational tasks.Our aim is to combine multiple material RCs:1. with similar instance configurations, to provide scalability2. with diverse instance configurations, to perform together tasks that no single RC configuration can readily perform alone. Magnetic materials provide an excellent flexible testbed for developing a material RC design process. Such materials have the intrinsic memory and complex non-linear dynamics needed for RC operation,and also have well-established methods of interfacing for data input/output, needed to build a practical device. We will exploit the properties of patterned 2D layouts of magnetic nanoring wires, which can be readily manufactured with existing technologies. This flexible design and experimental platform will allow us to develop generic techniques that will apply across a range of smart material RCs.We will develop new multi-RC design tools, and will design, test and manufacture nanomagnetic RCs. This toolset and manufacture will provide a robust and reliable testbed on which we will develop and evaluate scalable RC architectures that can be configured for a range of practical computing tasks. We will demonstrate the resulting multi-reservoir architecture in an audio-controlled robot: a `turtle' following simple LOGO-like commands, controlled purely by in materio reservoirs, with no onboard digital computers.The output will be a new design methodology and platform for multi-reservoir devices, that can be exploited to design low-power, robust, flexible, and efficient smart sensing and other `edge-computing' devices in a diverse range of materials.

传统的数字计算非常耗电、脆弱，并且难以与模拟的真实的世界连接。非传统的计算机（如材料库计算机（RC））可以帮助克服这些问题，特别是通过能够执行嵌入式计算，直接利用其材料组成的自然动态，从而大大降低功耗需求。这种设备在原理上已经得到了验证，但是系统需要被放大，以便为真实的世界任务提供足够和适当的计算能力。此外，一系列的设备配置需要支持不同的计算任务。我们的目标是联合收割机多种材料的RC：1。具有类似的实例配置，以提供可扩展性2。使用不同的实例配置，一起执行单个RC配置无法单独执行的任务。磁性材料为开发材料RC设计过程提供了极好的灵活测试平台。这样的材料具有RC操作所需的固有存储器和复杂的非线性动力学，并且还具有构建实用设备所需的用于数据输入/输出的良好建立的接口方法。我们将利用磁性纳米环线的图案化2D布局的特性，其可以很容易地用现有技术制造。这个灵活的设计和实验平台将使我们能够开发适用于一系列智能材料RC的通用技术。我们将开发新的多RC设计工具，并将设计，测试和制造纳米磁性RC。该工具集和制造将提供一个强大而可靠的测试平台，我们将在此平台上开发和评估可扩展的RC架构，这些架构可以配置用于一系列实际计算任务。我们将在音频控制机器人中演示由此产生的多水库架构：一只“海龟”遵循简单的类似于LOGO的命令，完全由材料储存器控制，没有机载数字计算机。输出将是一种新的设计方法和多储存器设备平台，可用于设计低功耗，坚固，灵活，以及各种材料的高效智能传感和其他“边缘计算”设备。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Reconfigurable reservoir computing in a magnetic metamaterial

DOI：
10.1038/s42005-023-01352-4
发表时间：
2022-06
期刊：
Communications Physics
影响因子：
5.5
作者：
Ian T. Vidamour;C. Swindells;G. Venkat;Luca Manneschi;P. Fry;A. Welbourne;R. Rowan-Robinson;D. Backes;Francisco Maccherozzi;S. Dhesi;E. Vasilaki;D. Allwood;T. Hayward
通讯作者：
Ian T. Vidamour;C. Swindells;G. Venkat;Luca Manneschi;P. Fry;A. Welbourne;R. Rowan-Robinson;D. Backes;Francisco Maccherozzi;S. Dhesi;E. Vasilaki;D. Allwood;T. Hayward

A framework for multi-core schedulability analysis accounting for resource stress and sensitivity

考虑资源压力和敏感性的多核可调度性分析框架