Collaborative Research:EAGER:Exploiting Heterogeneity in Emerging Interconnect Technologies for Building Highly Scalable and Power-Efficient Network-on-Chips for Many-core Systems
合作研究:EAGER:利用新兴互连技术的异构性为多核系统构建高度可扩展且高能效的片上网络
基本信息
- 批准号:1342702
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2015-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Objective:The objective of this project is to lay the groundwork for completely re-thinking Network-on-Chips (NoCs) design and propose to exploit the unique advantages of the emerging interconnect technologies such as photonics and wireless for designing performance scalable, and power-efficient NoCs for future multicores.Intellectual Merits:Power consumed by digital devices and systems such as smartphones, laptops, servers and datacenters is increasing at an alarming rate as more computing cores can be integrated on a single chip. The computing capabilities of multicore architectures can be unleashed only if the underlying network that transports data between the cores and the caches can provide scalable bandwidth at low power consumption. Research has shown that disruptive technology solutions such as photonics and wireless technologies have the potential to alleviate the critical bandwidth, power, and latency challenges of future multicore architectures. The proposed research combines multiple interconnect technologies to achieve three objectives, namely: (1) scalability to 1000 cores, (2) power efficiency (at least a 50% reduction as compared to state-of-the art metallic interconnects), and (3) high bandwidth and low latency across a wide variety of applications.Broader Impacts:The proposed research has the potential to transform the design of next-generation NoCs and multicore architectures, which are essential for the continued growth of computing performance. This proposal describes a transformative and viable approach that integrates research in technology, architecture, algorithm and applications for designing energy-efficient NoCs thus enabling scalable multicore architectures. The research will also play a major role in education by integrating discovery with teaching and training. Finally, the results and findings of the proposed research will be disseminated to researchers, engineers and educators through technical publications and presentations.
目的:该项目的目的是为完全重新思考网络上的网络(NOC)设计奠定基础,并提议利用新兴互连技术的独特优势,例如光子学和无线化的性能,以设计性能可扩展的noc和功能效率的NOC,例如未来的多功能级数:Intellectual liless.intellectual interpect。以惊人的速度增加,因为可以将更多的计算核心集成到单个芯片上。只有在核心和缓存之间传输数据的基础网络可以在低功耗以低功耗提供可扩展的带宽时,才能释放多核体系结构的计算能力。研究表明,诸如光子学和无线技术之类的破坏性技术解决方案有可能减轻未来多层体系结构的关键带宽,功率和延迟挑战。拟议的研究结合了多种互连技术,以实现三个目标,即:(1)对1000个核心的可伸缩性,(2)功率效率(与艺术金属互连相比,至少降低了50%的降低50%),(3)跨越的应用程序的范围和低延迟。体系结构,这对于持续增长计算性能至关重要。该提案描述了一种变革性且可行的方法,该方法将技术,体系结构,算法和设计用于设计节能NOC的应用程序整合,从而启用可扩展的多核心体系结构。这项研究还将通过将发现与教学和培训相结合,在教育中发挥重要作用。最后,拟议研究的结果和发现将通过技术出版物和演示文稿传播给研究人员,工程师和教育者。
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)
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Ahmed Louri其他文献
Ahmed Louri的其他文献
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{{ truncateString('Ahmed Louri', 18)}}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:
2321224 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
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 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Standard 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:
2311543 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Continuing 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:
2131946 - 财政年份:2021
- 资助金额:
$ 15万 - 项目类别:
Standard 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:
1953980 - 财政年份:2020
- 资助金额:
$ 15万 - 项目类别:
Continuing 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:
1901165 - 财政年份:2019
- 资助金额:
$ 15万 - 项目类别:
Continuing 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:
1812495 - 财政年份:2018
- 资助金额:
$ 15万 - 项目类别:
Standard 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:
1702980 - 财政年份:2017
- 资助金额:
$ 15万 - 项目类别:
Continuing 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:
1547034 - 财政年份:2015
- 资助金额:
$ 15万 - 项目类别:
Standard 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:
1547035 - 财政年份:2015
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
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