Collaborative Research: DESC: Type II: Multi-Function Cross-Layer Electro-Optic Fabrics for Reliable and Sustainable Computing Systems

合作研究：DESC：II 型：用于可靠和可持续计算系统的多功能跨层电光织物

• 批准号: 2324644
• 负责人: Ahmed Louri
• 金额: $ 100万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324644&HistoricalAwards=false
• 关键词: Collaborative; Research; DESC; Type; II

With the explosion of computing devices and systems in everyday consumer electronics, the amount of energy required to power information and computing technologies (ICT) is reaching close to 5% of worldwide carbon emissions. Embodied emissions originate from the manufacturing of hardware and from infrastructure-related energy such as procurement of raw materials, fabrication, packaging, and assembly. This is distinct from operational energy, which stems from using the hardware. Sustainability in computing should be based on three universally accepted tenets – reuse, reduce and recycle – of hardware components and systems. From a sustainability perspective, we need to reuse or repurpose existing hardware platforms for multiple functionalities to reduce embodied emissions, recycle hardware to extend or prolong lifetime reliability, and reduce the operational or use-phase energy required of the hardware platform. Therefore, future hardware platforms based on chiplets, - small, integrated circuits with defined functions - should be carefully designed to balance power, performance, and reliability when designed for sustainability. This research project establishes very important connections between electronic computing systems, photonic technology, computer architecture, machine learning, and sustainability requirements. The research will foster new research directions in several areas, spanning computer architecture, silicon photonics, algorithms, and applications, with the potential to significantly transform the design of next-generation sustainable chiplet-based heterogenous computing systems. All the research findings and simulation results will be shared with the community via conference/journal publication, professional meetings, and a dedicated website. The team is committed and will continue to expand on outreach activities, education, training, and broadening participation in computing as part of the project by making the necessary efforts to attract and train minority students in this field. This research will design multi-functional, self-healing and cross-layer optimized electro-optic fabric for computing architectures and accelerators to improve reliability, performance and sustainability. The overarching goal of the project is to enhance the sustainability of computing systems by reducing the impact of embodied energy and extending the operational lifetime of hardware systems. The team will explore a combination of electronics and silicon photonics comprehensively and systematically for both communication and computation in one integrated system to dramatically improve performance-per-Watt resource utilization, reliability, and sustainability of future computing systems. This research will result in (1) novel electrical and photonic interconnect-based architectures that have multiple functionality for communication, computation and storage, (2) self-healing and fault-tolerant electrical and optical fabric that improve the reliability of the heterogeneous computing chiplets, (3) hardware and cross-layer techniques to dynamically adapt to application demands to reduce operational energy, (4) an extensive modeling and simulation framework for evaluating embodied and operational energy of the proposed architectures, and (5) proof-of-concept testbed implementation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着日常消费电子产品中计算设备和系统的爆炸式增长，为信息和计算技术 (ICT) 提供动力所需的能源量已接近全球碳排放量的 5%，其中隐含排放量来自硬件制造和基础设施。这与原材料采购、制造、包装和组装等相关能源不同，后者源于硬件的使用，计算的可持续性应基于三个普遍接受的原则——硬件的再利用、减少和回收。组件和从可持续发展的角度来看，我们需要重复利用或重新利用现有的硬件平台来实现多种功能，以减少隐含排放，回收硬件以延长或延长使用寿命的可靠性，并减少硬件平台所需的运行或使用阶段的能源。未来基于小芯片（具有定义功能的小型集成电路）的硬件平台在设计时应仔细设计，以平衡功耗、性能和可靠性。该研究项目在电子计算系统、光子技术、计算机体系结构之间建立了非常重要的联系。 、机器学习和可持续性要求。研究将在多个领域培育新的研究方向，涵盖计算机架构、硅光子学、算法和应用，有可能显着改变下一代可持续的基于小芯片的异构计算系统的设计。通过会议/期刊出版、专业会议和专门网站与社区分享。作为项目的一部分，该团队致力于并将继续扩大活动、教育、培训和扩大计算参与范围。努力吸引和培训该领域的少数民族学生。这项研究将为计算架构和加速器设计多功能、自修复和跨层优化的电光结构，以提高可靠性、性能和可持续性。该项目的总体目标是通过降低计算系统的可持续性来增强计算系统的可持续性。该团队将全面、系统地探索电子学和硅光子学的结合，以在一个集成系统中实现通信和计算，以显着提高每瓦特资源利用率、可靠性和计算性能。未来的可持续性这项研究将产生（1）新型基于电气和光子互连的架构，该架构具有通信、计算和存储的多种功能，（2）自我修复和容错的电气和光学结构，可提高系统的可靠性。异构计算小芯片，（3）动态适应应用需求以减少运行能耗的硬件和跨层技术，（4）用于评估所提议架构的具体体现和运行能耗的广泛建模和仿真框架，以及（5）证明概念测试台该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。