Scaling chip-to-chip interfaces for next-generation communication equipment
Scaling chip-to-chip interfaces for next-generation communication equipment
批准号:
505827-2016
负责人:
ChanCarusone, Anthony
金额:
$10.41万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
现代时代的特点是无处不在的连接和环境智能,每个设备都连接到网络。到2020年,加拿大的网络总流量预计将比2015年翻一番,2020年全球联网设备将从2015年的163亿台增加到263亿台。必须在不增加相关电子设备的成本、复杂性和功耗的情况下满足这些不断增长的需求。全球通信基础设施的能源消耗每年超过260 TWh,并以每年10.4%的惊人速度增长。这一趋势反映在芯片到芯片接口标准的演变中,其中规定的数据速率每4年翻一番。因此,在芯片间传送比特的数字输入输出(I/O)电路的功耗和成本,如果不继续进行研究,就有可能成为数字通信的瓶颈。本课题旨在探索在1毫米至100厘米的距离内,降低芯片间数字接口的成本和功耗的电子集成电路和系统。这些接口的电路和系统将采用纳米级(20 nm以下)CMOS技术开发,以允许它们集成到驱动基础设施网络和计算的数字处理器中。原型和测试电路和系统在这样的技术将提供独特的培训研究生,并提高工作的商业相关性和影响。该研究将与华为加拿大万锦和渥太华研发中心的研究人员合作进行。华为在安大略的研发团队是这一领域的市场领导者;他们的工作定义了在加拿大和世界各地的主要移动的和固定网络上传输数据的接口。因此,该项目为加拿大伙伴公司提供了出色的培训机会,提高了竞争力,并有可能产生巨大影响,降低加拿大日益依赖的通信设备的成本和功耗。
英文摘要
The modern era is characterized by pervasive connectivity and ambient intelligence, with every device connected to a network. Total network traffic in Canada is slated to double over 2015 levels by 2020 and globally there will be 26.3 billion networked devices in 2020, up from 16.3 billion in 2015. These increasing demands must be satisfied without increasing the cost, complexity and power dissipation of the associated electronics. The 260+ TWh/yr worldwide energy consumption of communication infrastructure continues to grow at a frightening 10.4% annually. The trend is reflected in the evolution of chip-to-chip interface standards, where the specified data rates double every 4 years. Hence, the power consumption and cost of digital input-output (I/O) circuits that shuttle bits between chips threatens to bottleneck overall progress in digital communication unless research progress continues.This project explores electronic integrated circuits and systems to reduce the cost and power consumption of digital interfaces between chips over distances of a millimeter up to 100's of centimeters. Circuits and systems for these interfaces will be developed in nanoscale (below 20nm) CMOS technologies to permit their integration within the digital processors that drive infrastructure networking and computing. Prototyping and testing the circuits and systems in such technologies will provide unique training for graduate students, and enhance the work's commercial relevance and impact. The research will be undertaken in collaboration with researchers from Huawei Canada's R&D centres in Markham and Ottawa. Huawei's R&D teams in Ontario are market leaders in this field; their work has defined interfaces that carry data across the major mobile and fixed networks in Canada and around the world. Hence, this project offers outstanding training opportunities and enhanced competitiveness for the Canadian partner company, with the potential for vast impact lowering the cost and power consumption of the communication equipment upon which Canada increasingly relies.
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Optimized Terabit-per-second Chip-to-Chip Communication over Heterogeneous Interconnect Fabrics
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批准号:555486-2020
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项目类别:Alliance Grants
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负责人:ChanCarusone, Anthony
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依托单位:
Scaling chip-to-chip interfaces for next-generation communication equipment
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批准号:505827-2016
-
项目类别:Collaborative Research and Development Grants
-
资助金额:$10.41万
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财政年份:2018
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负责人:ChanCarusone, Anthony
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依托单位:
Analog Integrated Circuits for Massively Parallel Wireless Transceivers
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批准号:RGPIN-2016-05561
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.93万
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财政年份:2017
-
负责人:ChanCarusone, Anthony
-
依托单位:
CMOS Circuits and Systems for Broadband Wireless Communication
-
批准号:493146-2015
-
项目类别:Collaborative Research and Development Grants
-
资助金额:$11.29万
-
财政年份:2017
-
负责人:ChanCarusone, Anthony
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依托单位:
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依托单位:
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资助金额:$2.6万
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财政年份:2016
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负责人:ChanCarusone, Anthony
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依托单位:
Scaling chip-to-chip interfaces for next-generation communication equipment
-
批准号:505827-2016
-
项目类别:Collaborative Research and Development Grants
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资助金额:$10.41万
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财政年份:2016
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依托单位:
Analog Integrated Circuits for Massively Parallel Wireless Transceivers
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.93万
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