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
基本信息
- 批准号:2324644
- 负责人:
- 金额:$ 100万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
随着计算设备和系统在每天消费电子电子产品中的爆炸式增长,为信息和计算技术(ICT)提供的能量量达到了近5%的全球碳排放。体现的排放源于硬件的制造和基础设施相关的能源,例如原材料,制造,包装和组装的采购。这与运营能量不同,该能源不使用硬件。计算中的可持续性应基于硬件组件和系统的三个普遍接受的宗旨 - 重用,减少和回收。从可持续性的角度来看,我们需要重新使用或复制多个功能的现有硬件平台,以减少体现的排放,回收硬件以扩展或延长终身可靠性,并减少硬件平台所需的操作或使用相位能量。因此,未来基于芯片的硬件平台 - 具有定义功能的小型集成电路 - 应仔细设计,以平衡为可持续性设计时的功率,性能和可靠性。该研究项目在电子计算系统,光子技术,计算机架构,机器学习和可持续性要求之间建立了非常重要的联系。这项研究将在多个领域促进新的研究方向,涵盖计算机架构,硅光子学,算法和应用,并有可能显着改变下一代可持续性chiplet的基于chiplet的异质计算系统的设计。所有研究发现和仿真结果将通过会议/期刊出版物,专业会议和专门的网站与社区共享。该团队承诺,并将继续扩大外展活动,教育,培训,并扩大对计算的参与,作为该项目的必要努力,以吸引和培训该领域的少数民族学生。这项研究将设计多功能,自我修复和跨层优化的电容结构,用于计算体系结构和加速器,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体现能源的影响并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和系统地探索电子和硅光子学的结合,以极大地提高每瓦的资源利用率,可靠性和未来计算系统的可持续性。这项研究将导致(1)具有多重功能的新型电气和光子互连体系结构,这些功能可用于沟通,计算和存储,(2)自我修复和耐故障的电和光学结构,可提高异质计算的可靠性,(3)用于动态的应用程序,以动态适应运行能量(4),以动态地适应运算型的功能(4)(4)(4)(4)(4)(4)(4)(4)(4)拟议体系结构的体现和运营能量,以及(5)概念证明测试床实施。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响审查标准,通过评估被认为是宝贵的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
Ahmed Louri的其他基金
Collaborative Research: CSR: Small: Cross-layer learning-based Energy-Efficient and Resilient NoC design for Multicore Systems
协作研究:CSR:小型:基于跨层学习的多核系统节能和弹性 NoC 设计
- 批准号:23212242321224
- 财政年份:2023
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
Collaborative Research: SHF: Medium: EPIC: Exploiting Photonic Interconnects for Resilient Data Communication and Acceleration in Energy-Efficient Chiplet-based Architectures
合作研究:SHF:中:EPIC:利用光子互连实现基于节能 Chiplet 的架构中的弹性数据通信和加速
- 批准号:23115432311543
- 财政年份:2023
- 资助金额:$ 100万$ 100万
- 项目类别:Continuing GrantContinuing Grant
SHF: Small: Holistic Design of High-performance and Energy-efficient Accelerators for Graph Neural Networks
SHF:小型:图神经网络高性能、高能效加速器的整体设计
- 批准号:21319462131946
- 财政年份:2021
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
Collaborative Research: SHF: Medium: Neural-Network-based Stochastic Computing Architectures with applications to Machine Learning
合作研究:SHF:中:基于神经网络的随机计算架构及其在机器学习中的应用
- 批准号:19539801953980
- 财政年份:2020
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- 项目类别:Continuing GrantContinuing Grant
SHF: Medium: Collaborative Research: Photonic Neural Network Accelerators for Energy-efficient Heterogeneous Multicore Architectures
SHF:媒介:协作研究:用于节能异构多核架构的光子神经网络加速器
- 批准号:19011651901165
- 财政年份:2019
- 资助金额:$ 100万$ 100万
- 项目类别:Continuing GrantContinuing Grant
SHF: Small: Collaborative Research: Integrated Framework for System-Level Approximate Computing
SHF:小型:协作研究:系统级近似计算的集成框架
- 批准号:18124951812495
- 财政年份:2018
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
SHF: Medium: Collaborative Research: Machine Learning Enabled Network-on-Chip Architectures Optimized for Energy, Performance and Reliability
SHF:中:协作研究:支持机器学习的片上网络架构,针对能源、性能和可靠性进行了优化
- 批准号:17029801702980
- 财政年份:2017
- 资助金额:$ 100万$ 100万
- 项目类别:Continuing GrantContinuing Grant
SHF: Small: Collaborative Research: Power-Efficient and Reliable 3D Stacked Reconfigurable Photonic Network-on-Chips for Scalable Multicore Architectures
SHF:小型:协作研究:用于可扩展多核架构的高效且可靠的 3D 堆叠可重构光子片上网络
- 批准号:15470341547034
- 财政年份:2015
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
SHF: Small: Collaborative Research: A Holistic Design Methodology for Fault-Tolerant and Robust Network-on-Chips (NoCs) Architectures
SHF:小型:协作研究:容错和鲁棒片上网络 (NoC) 架构的整体设计方法
- 批准号:15470351547035
- 财政年份:2015
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
XPS: FULL: CCA: Collaborative Research: SPARTA: a Stream-based Processor And Run-Time Architecture
XPS:完整:CCA:协作研究:SPARTA:基于流的处理器和运行时架构
- 批准号:15470361547036
- 财政年份:2015
- 资助金额:$ 100万$ 100万
- 项目类别:Standard GrantStandard Grant
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