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SHF: NeTS: Medium: Collaborative Research: The Power of Less Wiring: Wireless NoC-enabled Voltage-Frequency Islands (VFIs) for Energy-Efficient Multicore Platforms

SHF: NeTS: Medium: Collaborative Research: The Power of Less Wiring: Wireless NoC-enabled Voltage-Frequency Islands (VFIs) for Energy-Efficient Multicore Platforms
SHF:NetS:中:协作研究:更少布线的力量:用于节能多核平台的支持无线 NoC 的电压频率岛 (VFI)
批准号:
1514269
负责人:
Partha Pande
金额:
$17.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-01 至 2018-07-31

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中文摘要
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英文摘要
Parallel processing via massively integrated multicore systems can offer unprecedented levels of performance for many real applications, e.g., networking, e-commerce, scientific computing, entertainment, etc. However, the design of such multicore platforms is dominated by the power and thermal constraints that need to be addressed in order to make them practical. Indeed, the increasing power and thermal dissipation represents a major concern due to its impact on performance, temperature, reliability, scalability, and environmental impact. Consequently, this project targets an interdisciplinary research-based curriculum for power and thermally efficient multi-core system design meant to raise awareness and increase the number of students attracted to this area of engineering. Towards this end, this project also aims at involving underrepresented groups in research through REU and IGERT projects via catalyzing the creation of more sustainable environments.In terms of technical aspects of the research, this project defines an integrated theory-implementation-evaluation framework, which aims at developing new algorithms, architectures, and tool-sets to design and evaluate sustainable multicore systems while provisioning the system resources for the necessary power/performance/thermal trade-offs. The research objectives target the development of a new communication network consisting of both traditional wires and emerging on-chip wireless links suitable to support voltage and frequency scaling, new algorithms for distributed resource management and hierarchical control under multi-kernel operating systems, and unified power-performance models for extended range dynamic voltage and frequency scaling with validation of power/performance trade-offs.
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CSR: Small: Processing-in-Memory enabled Manycore Systems to Accelerate Graph Neural Network-based Data Analytics
  • 批准号:
    2308530
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  • 资助金额:
    $60.0万
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Student Travel Sponsorship for the IEEE/ACM International Symposium on Networks-on-Chip 2015
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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    2012
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