EAGER:Scaling On-Chip Interconnects for Exascale Systems
EAGER:扩展百亿亿级系统的片上互连
基本信息
- 批准号:1256203
- 负责人:
- 金额:$ 8.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research aims to overcome the extreme challenges that need to be solved to realize a 1000-core (kilocore) processor. Processors with tens of cores are already in commercial products today. A kilocore processor could take us into the era of Server-on-Chip and Supercomputer-on-Chip. On-chip network is the medium through which two nodes in a processor can communicate, and therefore constitutes the backbone of a kilocore processor. Unfortunately, current on-chip network solutions are inadequate as they do not scale in terms of both power and performance beyond a few tens of cores. To reach the ambitious design goal of 1000+ cores with realistic power budgets, the interconnect technology needs to be at least 15 times more power efficient while providing at least the same level of throughput-per-core as today. This project investigates three interrelated solutions to meet the above challenge in an evolutionary manner: (1) Developing a low-power and energy-proportional interconnect architecture that employs a larger number of narrower networks, (2) Using high-radix Swizzle-Switches as the building blocks for interconnecting the multiple networks, and (3) Re-designing network architecture with multiple networks and Swizzle-Switches using 3D integration with Through-Silicon-Vias to achieve scalability beyond 1000 cores. This project will demonstrate the feasibility of kilocore processors. If such processors can be built, they could have a tremendous impact on future exascale systems such as cloud computing servers and HPC systems that have many applications including drug discovery, defense, information analysis, and social networking.
本研究旨在克服实现1000核(千核)处理器所需解决的极端挑战。具有数十个核心的处理器今天已经在商业产品中。千核处理器可以将我们带入片上服务器和片上超级计算机的时代。片上网络是处理器中两个节点之间进行通信的媒介,是千核处理器的骨干网络。不幸的是,当前的片上网络解决方案还不够,因为它们在功率和性能方面的扩展不能超过几十个核心。为了实现1000多个内核的宏伟设计目标,并提供现实的功耗预算,互连技术需要至少提高15倍的能效,同时提供至少与当前相同的每内核吞吐量水平。本项目研究三个相互关联的解决方案,以渐进的方式应对上述挑战:(1)开发一种低功率和能量比例的互连架构,其采用大量较窄的网络,(2)使用高基数Swizzle-Switch作为用于互连多个网络的构建块,以及(3)重新设计具有多个网络和Swizzle-Switch的网络架构,使用3D集成与硅通孔,以实现超过1000个核心的可扩展性。该项目将展示千核处理器的可行性。如果这种处理器能够被制造出来,它们可能会对未来的艾级系统产生巨大的影响,例如云计算服务器和HPC系统,这些系统具有许多应用,包括药物发现,国防,信息分析和社交网络。
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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Reetuparna Das其他文献
Aérgia: A Network-on-Chip Exploiting Packet Latency Slack
Aérgia:利用数据包延迟松弛的片上网络
- DOI:
10.1109/mm.2010.98 - 发表时间:
2011 - 期刊:
- 影响因子:3.6
- 作者:
Reetuparna Das;Onur Mutlu;T. Moscibroda;Chita R. Das - 通讯作者:
Chita R. Das
Reetuparna Das的其他文献
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{{ truncateString('Reetuparna Das', 18)}}的其他基金
RAPID: Pathogen Detection with Real-Time Genetic Sequencing
RAPID:通过实时基因测序进行病原体检测
- 批准号:
2030454 - 财政年份:2020
- 资助金额:
$ 8.99万 - 项目类别:
Standard Grant
SHF: Small: Acceleration Using Smart Memory-on-Chip
SHF:小型:使用智能片上存储器进行加速
- 批准号:
1908601 - 财政年份:2019
- 资助金额:
$ 8.99万 - 项目类别:
Standard Grant
SHF: Compute Caches: Opportunistic Parallelism in General Purpose Processors at Extreme Scale
SHF:计算缓存:超大规模通用处理器中的机会并行
- 批准号:
1763918 - 财政年份:2018
- 资助金额:
$ 8.99万 - 项目类别:
Standard Grant
CAREER: In-Situ Compute Memories for Accelerating Data Parallel Applications
职业:用于加速数据并行应用的原位计算存储器
- 批准号:
1652294 - 财政年份:2017
- 资助金额:
$ 8.99万 - 项目类别:
Continuing Grant
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