Bio-inspired Adaptive Architectures and Systems
仿生自适应架构和系统
基本信息
- 批准号:EP/K040820/1
- 负责人:
- 金额:$ 117.14万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2014
- 资助国家:英国
- 起止时间:2014 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The ever-increasing complexity of highly integrated computing systems requires more and more complex levels of monitoring and control over the potentially large number of interacting resources available in order to manage and exploit them effectively. Technology innovations are driving device and systems design to consider, for example, a move from multi-core (2-10 cores) to many-core (hundreds-thousands of cores) and to design hybrid technology platforms. However, it is still neither obvious how these systems will be constructed architecturally nor how they will be controlled and programmed. Major issues related to these systems include reliability and on-line optimisation, as well as the efficient utilisation of these complex systems. The need for reliability in such systems is obvious, considering their size and the huge design and test efforts required to manage the increasing sensitivity to faults of next-generation technologies.Here we propose research into hardware and software systems whose designs are motivated by biological principles. The main activities will be in the design, evaluation and exploitation of such systems. This will concern the advancement of bio-inspired techniques to construct microelectronic systems of the future. This will cover the topology of such systems that will both be massively parallel and will be required to cope with unreliable components, such as the variability of devices resulting from the continuing reduction in feature size. The need for new manufacturing methods such as 3D fabrication and new materials such as molecular devices will be critical for the future of microelectronic system design and will form a significant part of this research.
高度集成的计算系统的不断增加的复杂性需要对潜在的大量可用的交互资源进行越来越复杂的监视和控制,以便有效地管理和利用它们。技术创新正在推动设备和系统设计考虑从多核(2-10核)到众核(数十万核)的转变,以及设计混合技术平台。然而,这些系统将如何在架构上构建,以及它们将如何被控制和编程,仍然是不明显的。与这些系统有关的主要问题包括可靠性和在线优化,以及这些复杂系统的有效利用。考虑到这些系统的规模以及为管理下一代技术对故障日益增加的敏感性所需的巨大设计和测试工作,对这些系统的可靠性的需求是显而易见的。主要活动将是设计、评价和利用这些系统。这将涉及生物启发技术的进步,以构建未来的微电子系统。这将涵盖这些系统的拓扑结构,这些系统将是大规模并行的,并且需要科普不可靠的组件,例如由于特征尺寸的持续减小而导致的设备的可变性。对3D制造等新制造方法和分子器件等新材料的需求将对微电子系统设计的未来至关重要,并将成为这项研究的重要组成部分。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
DNA Nanotechnology - Methods and Protocols
DNA 纳米技术 - 方法和方案
- DOI:10.1007/978-1-4939-8582-1_7
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Dunn K
- 通讯作者:Dunn K
Artificial bee colony-inspired run-time task management for many-core systems
受人工蜂群启发的多核系统运行时任务管理
- DOI:10.1109/ssci.2018.8628713
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Abuassal A
- 通讯作者:Abuassal A
Towards a bioelectronic computer: A theoretical study of a multi-layer biomolecular computing system that can process electronic inputs
迈向生物电子计算机:可处理电子输入的多层生物分子计算系统的理论研究
- DOI:10.1101/290775
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Dunn K
- 通讯作者:Dunn K
An evolutionary approach to runtime variability mapping and mitigation on a multi-reconfigurable architecture
多重可重构架构上运行时变异性映射和缓解的进化方法
- DOI:10.23919/date.2017.7927240
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Bale S
- 通讯作者:Bale S
Information Processing in Cells and Tissues - 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings
细胞和组织中的信息处理 - 第 10 届国际会议,IPCAT 2015,美国加利福尼亚州圣地亚哥,2015 年 9 月 14-16 日,会议记录
- DOI:10.1007/978-3-319-23108-2_5
- 发表时间:2015
- 期刊:
- 影响因子:0
- 作者:Lones M
- 通讯作者:Lones M
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Andy Tyrrell其他文献
Biologically Inspired Real-Time Reconfiguration Technique for Processor Arrays
- DOI:
10.1016/s1474-6670(17)42161-6 - 发表时间:
1998-04-01 - 期刊:
- 影响因子:
- 作者:
Cesar Ortega;Andy Tyrrell - 通讯作者:
Andy Tyrrell
On the differences between conventional and auditory spectrograms of English consonants
英语辅音常规谱图与听觉谱图的差异
- DOI:
10.1080/14015430050175923 - 发表时间:
2000 - 期刊:
- 影响因子:0
- 作者:
Tim S. Brookes;Andy Tyrrell;D. Howard - 通讯作者:
D. Howard
Special issue on the frontiers of natural computing
- DOI:
10.1007/s11047-013-9402-9 - 发表时间:
2013-10-20 - 期刊:
- 影响因子:1.600
- 作者:
Michael Lones;Andy Tyrrell;Susan Stepney;Leo Caves - 通讯作者:
Leo Caves
Andy Tyrrell的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Andy Tyrrell', 18)}}的其他基金
Autonomous Robot Evolution (ARE): Cradle to Grave
自主机器人进化(ARE):从摇篮到坟墓
- 批准号:
EP/R03561X/1 - 财政年份:2018
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
PAnDA: Programmable Analogue and Digital Array
PAnDA:可编程模拟和数字阵列
- 批准号:
EP/I005838/1 - 财政年份:2010
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Molecular Software and Hardware for Programmed Chemical Synthesis
用于程序化化学合成的分子软件和硬件
- 批准号:
EP/F055951/1 - 财政年份:2008
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Artificial Biochemical Networks: Computational Models and Architectures
人工生化网络:计算模型和架构
- 批准号:
EP/F060041/1 - 财政年份:2008
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Self-healing Cellular Architectures for Biologically-inspired Highly Reliable Electronic Systems
用于受生物学启发的高可靠性电子系统的自愈蜂窝架构
- 批准号:
EP/F062192/1 - 财政年份:2008
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Software-controlled assembly of oligomers
软件控制的低聚物组装
- 批准号:
EP/F008279/1 - 财政年份:2007
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Automatic Design of Adaptive Systems using Unconstrained Evolution and Development on the POEtic Platform
在 POEtic 平台上使用无约束进化和开发的自适应系统的自动设计
- 批准号:
EP/E028381/1 - 财政年份:2007
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
Meeting the design challenges of the nano-CMOS electronics
应对纳米 CMOS 电子器件的设计挑战
- 批准号:
EP/E001610/1 - 财政年份:2006
- 资助金额:
$ 117.14万 - 项目类别:
Research Grant
相似国自然基金
多层次纳米叠层块体复合材料的仿生设计、制备及宽温域增韧研究
- 批准号:51973054
- 批准年份:2019
- 资助金额:60.0 万元
- 项目类别:面上项目
相似海外基金
NRI: Adaptive Wearable Robots for Movement Assistance via Bio-Inspired Sensorimotor Integration
NRI:通过仿生感觉运动集成提供运动辅助的自适应可穿戴机器人
- 批准号:
2221315 - 财政年份:2022
- 资助金额:
$ 117.14万 - 项目类别:
Standard Grant
NRI: INT: Adaptive Bio-inspired Co-Robot algorithms for volcano monitoring
NRI:INT:用于火山监测的自适应仿生协作机器人算法
- 批准号:
2024520 - 财政年份:2020
- 资助金额:
$ 117.14万 - 项目类别:
Standard Grant
Bio-inspired fluid cell growth for adaptive colour change in building facades
仿生流体细胞生长可实现建筑外墙的自适应颜色变化
- 批准号:
551341-2020 - 财政年份:2020
- 资助金额:
$ 117.14万 - 项目类别:
University Undergraduate Student Research Awards
Bio-inspired Smart Attachment and Adaptive Neuromechanical Control for Highly Efficient Locomotion and Adaptation to an Autonomous Climbing Robot
仿生智能附件和自适应神经机械控制可实现自主攀爬机器人的高效运动和适应
- 批准号:
410547361 - 财政年份:2019
- 资助金额:
$ 117.14万 - 项目类别:
Research Grants
Bio-Inspired complex and adaptive materials and surfaces
仿生复杂和适应性材料和表面
- 批准号:
2323525 - 财政年份:2019
- 资助金额:
$ 117.14万 - 项目类别:
Studentship
Research for real-time adaptive navigation inspired by bat bio-sonar strategies
受蝙蝠生物声纳策略启发的实时自适应导航研究
- 批准号:
17H07242 - 财政年份:2017
- 资助金额:
$ 117.14万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Bio-inspired Fiber-Optics System based on Crayfish Escape Response for Ultrafast Adaptive Sensing
基于小龙虾逃逸响应的仿生光纤系统,用于超快自适应传感
- 批准号:
1400100 - 财政年份:2014
- 资助金额:
$ 117.14万 - 项目类别:
Standard Grant
EAGER: Bio-Inspired Smart Sensor Networks for Adaptive Emergency Response
EAGER:用于自适应应急响应的仿生智能传感器网络
- 批准号:
1030454 - 财政年份:2010
- 资助金额:
$ 117.14万 - 项目类别:
Standard Grant
Application of Bio-inspired Algorithm to Adaptive Routing of Packets and to Traffic Congestion of Roads
仿生算法在数据包自适应路由和道路交通拥堵中的应用
- 批准号:
21310109 - 财政年份:2009
- 资助金额:
$ 117.14万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Bio-inspired Algorithm of Traffic Engineering: Application to Adaptive Routing of Packets
流量工程仿生算法:在数据包自适应路由中的应用
- 批准号:
19300020 - 财政年份:2007
- 资助金额:
$ 117.14万 - 项目类别:
Grant-in-Aid for Scientific Research (B)