Flexible Voltage Stacking for Chip Multiprocessors
芯片多处理器的灵活电压堆叠
基本信息
- 批准号:0903437
- 负责人:
- 金额:$ 21.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-08-01 至 2013-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Effective management of supply voltage is of critical importance to overcome power limitations in future highly parallel multi-core microprocessors. This project proposes a new approach to efficiently deliver power and manage voltage in chip multiprocessors through a technique, called flexible voltage stacking. Voltage stacking involves delivering a higher supply voltage to the chip (resulting in lower current draw for a fixed power budget), which can reduce IR losses and improve power delivery efficiency. By providing flexibility to the stack, individual cores can be stacked in such a way as to regulate the voltage to the desired core supply level. The PIs plan to explore a range of architectural and circuit techniques to mitigate issues related to voltage noise. Also, a prototype chip will be designed demonstrating the flexible voltage stack concept, driven by realistic workload traces from a combined software/FPGA simulator of a multicore system. The work will have broader impacts through technology transfer to the computing industry and by providing training for both undergraduate and graduate students.
电源电压的有效管理对于克服未来高度并行多核微处理器的功耗限制至关重要。 该项目提出了一种新的方法,有效地提供电源和管理电压芯片多处理器通过一种技术,称为灵活的电压堆叠。 电压堆叠涉及向芯片提供更高的电源电压(导致固定功率预算的电流消耗更低),这可以减少IR损耗并提高功率传输效率。 通过为堆叠提供灵活性,可以以将电压调节到期望的核心供电电平的方式来堆叠各个核心。 PI计划探索一系列架构和电路技术,以缓解与电压噪声相关的问题。此外,原型芯片的设计将展示灵活的电压堆栈的概念,从一个多核系统的组合软件/FPGA模拟器的现实工作负载跟踪驱动。 这项工作将通过向计算机行业转让技术以及为本科生和研究生提供培训而产生更广泛的影响。
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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Gu-Yeon Wei其他文献
A 7.5 GS/s flash ADC and a 10.24 GS/s time-interleaved ADC for backplane receivers in 65 nm CMOS
- DOI:
10.1007/s10470-015-0624-x - 发表时间:
2015-08-30 - 期刊:
- 影响因子:1.400
- 作者:
Hayun Chung;Zeynep Toprak Deniz;Alexander Rylyakov;John Bulzacchelli;Daniel Friedman;Gu-Yeon Wei - 通讯作者:
Gu-Yeon Wei
A view of the sustainable computing landscape
- DOI:
10.1016/j.patter.2025.101296 - 发表时间:
2025-07-11 - 期刊:
- 影响因子:7.400
- 作者:
Benjamin C. Lee;David Brooks;Arthur van Benthem;Mariam Elgamal;Udit Gupta;Gage Hills;Vincent Liu;Linh Thi Xuan Phan;Benjamin Pierce;Christopher Stewart;Emma Strubell;Gu-Yeon Wei;Adam Wierman;Yuan Yao;Minlan Yu - 通讯作者:
Minlan Yu
Gu-Yeon Wei的其他文献
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{{ truncateString('Gu-Yeon Wei', 18)}}的其他基金
I-Corps: Algorithm-Hardware Co-Design for Large-Scale Machine Learning
I-Corps:大规模机器学习的算法硬件协同设计
- 批准号:
2137080 - 财政年份:2021
- 资助金额:
$ 21.68万 - 项目类别:
Standard Grant
S&AS: INT: RoboBees 2.0 Towards Autonomous Micro Air Vehicles
S
- 批准号:
1724197 - 财政年份:2017
- 资助金额:
$ 21.68万 - 项目类别:
Standard Grant
InTrans: A virtualized SoC platform architecture for mini autonomous drones
InTrans:适用于小型自主无人机的虚拟化 SoC 平台架构
- 批准号:
1551044 - 财政年份:2015
- 资助金额:
$ 21.68万 - 项目类别:
Standard Grant
ITR: Collaborative Research: A Multi-Level Approach to Power-Efficient Opto-Electronic Interconnection Networks
ITR:协作研究:高效光电互连网络的多层次方法
- 批准号:
0325228 - 财政年份:2003
- 资助金额:
$ 21.68万 - 项目类别:
Standard Grant
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