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接近全球碳排放量的5%。温室气体排放来自硬件制造和与基础设施相关的能源，如原材料采购、制造、包装和组装。这与操作能量不同，操作能量源于使用硬件。计算的可持续性应基于三个普遍接受的原则-硬件组件和系统的再利用、减少和回收。从可持续发展的角度来看，我们需要重新使用或重新利用现有的硬件平台，以实现多种功能，以减少隐含排放，回收硬件以延长或延长寿命可靠性，并减少硬件平台所需的操作或使用阶段能源。因此，基于小芯片（具有定义功能的小型集成电路）的未来硬件平台在设计可持续性时，应仔细设计以平衡功率、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、机器学习和可持续性要求之间建立了非常重要的联系。该研究将在多个领域培育新的研究方向，包括计算机架构、硅光子学、算法和应用，并有可能显著改变下一代可持续的基于芯片的异构计算系统的设计。所有的研究结果和模拟结果将通过会议/期刊出版物，专业会议和专用网站与社区共享。该小组致力于并将继续扩大外联活动、教育、培训，并通过作出必要努力吸引和培训这一领域的少数民族学生来扩大对计算的参与，以此作为该项目的一部分。该研究将为计算架构和加速器设计多功能，自我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减少嵌入式能源的影响和延长硬件系统的运行寿命来增强计算系统的可持续性。该团队将在一个集成系统中全面系统地探索电子和硅光子学的组合，用于通信和计算，以显着提高未来计算系统的每瓦性能资源利用率，可靠性和可持续性。这项研究将导致（1）具有通信，计算和存储多种功能的新型电气和光子互连架构，（2）提高异构计算小芯片可靠性的自愈和容错电气和光学结构，（3）硬件和跨层技术，以动态适应应用需求，以减少操作能量，（4）广泛的建模和仿真框架，用于评估建议架构的具体和操作能量，以及（5）概念验证试验台实施。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。