Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"
Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"
批准号:
2008911
负责人:
Hui Zhao
金额:
$17.26万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-15 至 2024-06-30
中文摘要
由于技术规模的限制,通用处理器的设计正在达到性能瓶颈。基于芯片的系统通过将小芯片(芯片)集成到一个封装中,提供了一个很有前途的解决方案。芯片还支持离散芯片体系结构的异类集成,如CPU、GPU、DSP和FPGA。然而,基于小芯片的高性能系统的设计面临着严峻的挑战:小芯片间的通信是一个关键的瓶颈;小芯片之间需要有效地共享资源以提高性价比;电源和热管理需要优化以实现更好的封装内集成。因此,这种设计需要采取更全面的方法,需要对处理节点、存储和互连结构的交叉问题进行调查。本研究提出用异构型聚合芯片构建虚拟芯片,使系统既能获得单片超级芯片的性能优势,又能打破可伸缩性瓶颈。该项目的一个主要成果将是一套优化方法,这些方法能够设计出可重新配置的架构,利用混合无线互联来无缝连接计算和存储组件。为此,研究目标包括:(1)设计可重构架构以打破芯片边界以实现高效的资源共享;(2)开发模型以量化应用与硬件资源之间的交互以快速探索设计空间;(3)设计混合无线互连网络以无缝地弥合芯片之间的物理差距并通过无线网络的灵活性来实现可重构架构;(4)设计新型无线天线以提高能量和热效率。由于其交叉性质,拟议的研究有可能改变高性能、高能效和高成本效益的系统的设计,以满足带宽和性能需求不断增长的新兴应用的需求。这项研究的教育贡献包括将研究与教学和培训相结合,设计以培训未来工程师为重点的教程和研讨会,以及与行业互动以加快技术转让。作为拟议项目的一部分,通过外展活动,将吸引更多的本科生和少数族裔学生进入这个工程领域。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The design of general-purpose processors is reaching a performance bottleneck due to the limitations in technology scaling. Chiplet-based systems offer a promising solution by integrating small dies (chiplets) inside one package. Chiplets also enable heterogeneous integration of discrete chip architectures, such as CPUs, GPUs, DSPs, and FPGAs. However, the design of high-performance chiplet-based systems faces serious challenges: inter-chiplet communication is a critical bottleneck; resource needs to be efficiently shared among the chiplets to improve the performance-cost ratio; power and thermal management need to be optimized for better in-package integration. Consequently, such designs need to take a more holistic approach, and investigations are needed on the cross-cutting issues across the processing nodes, storage and interconnection fabric. This research proposes to build "virtual chips" from heterogeneous aggregated chiplets, so that the system can not only reap the performance benefit of a monolithic super chip but also break the scalability bottleneck. A major outcome of the project will be a set of optimization methods that enable the design of a reconfigurable architecture, leveraging a hybrid wireless interconnection to seamlessly connect the computing and memory components. To this end, the research goals include: (1) design of reconfigurable architectures to break the chiplet boundaries for efficient resource sharing; (2) development of models to quantify interactions between the applications and hardware resources for fast design-space exploration; (3) design of a hybrid wireless interconnection network to seamlessly bridge the physical gaps between chiplets and enable reconfigurable architectures through the flexibility of wireless networks; and (4) design of novel wireless antennas to improve energy and thermal efficiency.The proposed research bridges the gap between multiple layers of the design stack: hardware architectures, networks and devices. Due to its cross-cutting nature, the proposed research has the potential to transform the design of high-performance, energy-efficient and cost-effective systems that are able to meet the demand of emerging applications with growing bandwidth and performance needs. The educational contributions of this research include integrating research with teaching and training, design of tutorials and workshops focusing on the training of future engineers, and interaction with industry to accelerate technology transfer. Through the outreach activities as part of the proposed project, more undergraduate and minority students will be attracted to this field of engineering.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.
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Improving GPU Throughput through Parallel Execution Using Tensor Cores and CUDA Cores
使用 Tensor 核心和 CUDA 核心通过并行执行提高 GPU 吞吐量
DOI:
10.1109/isvlsi54635.2022.00051
发表时间:
2022
期刊:
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI
影响因子:
--
作者:
[Ho, Khoa, Zhao, Hui, Jog, Adwait, Mohanty, Saraju]
通讯作者:
Mohanty, Saraju
DOI:
10.1109/mce.2021.3073654
发表时间:
2022
期刊:
IEEE Consumer Electronics Magazine
影响因子:
4.5
作者:
[Fang, Juan, Zhang, Jiaxing, Lu, Shuaibing, Zhao, Hui, Zhang, Di, Cui, Yuwen]
通讯作者:
Cui, Yuwen
DOI:
10.1109/ispass57527.2023.00026
发表时间:
2023-04
期刊:
2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
影响因子:
--
作者:
[Zhuren Liu;Shouzhe Zhang;Justin Garrigus;Hui Zhao]
通讯作者:
Zhuren Liu;Shouzhe Zhang;Justin Garrigus;Hui Zhao
Predicting GPU Performance and System Parameter Configuration Using Machine Learning
使用机器学习预测 GPU 性能和系统参数配置
DOI:
10.1109/isvlsi54635.2022.00056
发表时间:
2022
期刊:
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI
影响因子:
--
作者:
[Liu, Zhuren, Exley, Trevor, Meek, Austin, Yang, Rachel, Zhao, Hui, Albert, Mark V.]
通讯作者:
Albert, Mark V.
Collaborative Research: Self-regulated non-equilibrium assembly of chiral colloidal clusters via electrokinetic interactions
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批准号:2314340
-
项目类别:Continuing Grant
-
资助金额:$25.75万
-
财政年份:2023
-
负责人:Hui Zhao
-
依托单位:
Collaborative Research: Concentration Polarization Induced Electrokinetic Flows around dielectric Surfaces
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批准号:2127852
-
项目类别:Standard Grant
-
资助金额:$20.56万
-
财政年份:2021
-
负责人:Hui Zhao
-
依托单位:
REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach
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批准号:2051062
-
项目类别:Standard Grant
-
资助金额:$39.87万
-
财政年份:2021
-
负责人:Hui Zhao
-
依托单位:
CAREER: Reinventing Network-on-Chips of GPU-Accelerated Systems
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批准号:2046186
-
项目类别:Continuing Grant
-
资助金额:$51.9万
-
财政年份:2021
-
负责人:Hui Zhao
-
依托单位:
Bioinspired Nanomanufacturing of Graphene-embedded Superhydrophobic Surfaces with Mechanical and Chemical Robustness
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批准号:1911719
-
项目类别:Standard Grant
-
资助金额:$39.47万
-
财政年份:2019
-
负责人:Hui Zhao
-
依托单位:
Super-Hydrophobic Surface Enabled Microfluidic Energy Conversion
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批准号:1509866
-
项目类别:Standard Grant
-
资助金额:$27.67万
-
财政年份:2015
-
负责人:Hui Zhao
-
依托单位:
Novel transport phenomena in two-dimensional crystals beyond graphene
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批准号:1505852
-
项目类别:Continuing Grant
-
资助金额:$45.0万
-
财政年份:2015
-
负责人:Hui Zhao
-
依托单位:
CAREER: Nanoscale Ballistic Spin Transport in Semiconductors
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批准号:0954486
-
项目类别:Continuing Grant
-
资助金额:$41.7万
-
财政年份:2010
-
负责人:Hui Zhao
-
依托单位:
国内基金
海外基金
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Research on Quantum Field Theory without a Lagrangian Description
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批准号:24ZR1403900
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项目类别:省市级项目
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资助金额:--
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批准年份:2024
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负责人:SATOSHI NAWATA
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依托单位:
Cell Research
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批准号:31224802
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:程磊
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依托单位:
Cell Research
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批准号:31024804
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2010
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负责人:程磊
-
依托单位:
Cell Research (细胞研究)
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批准号:30824808
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项目类别:专项基金项目
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资助金额:24.0万元
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批准年份:2008
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负责人:张爱兰
-
依托单位:
Research on the Rapid Growth Mechanism of KDP Crystal
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批准号:10774081
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项目类别:面上项目
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资助金额:45.0万元
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批准年份:2007
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负责人:滕冰
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依托单位: