CAREER: System-level Run-time Management Techniques for Energy-efficient Silicon-Photonic Manycore Systems
职业:节能硅光子众核系统的系统级运行时管理技术
基本信息
- 批准号:1149549
- 负责人:
- 金额:$ 46.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-04-01 至 2018-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The general purpose computing capacity of the world has been increasing at an annual rate of more than 50% over the past few decades, and this trend is expected to continue in the future. However, this increasing compute capacity directly translates to increasing power dissipation. In fact, the server farms and data centers in US consumed 1.5% of the nation's total electricity in 2006, and this number has been steadily growing every year making it absolutely critical to develop energy-efficient solutions for computing systems. Computer scientists and engineers migrated towards designing systems with dozens of low power cores on a single die to address the power problem while improving the compute capacity through parallelism. However, the deployment of these manycore systems has been impeded by the lack of energy-efficient high-bandwidth density (on-chip and off-chip) link solutions in current and projected electrical technology. Silicon-photonic link technology can potentially solve this problem as it provides an order of magnitude higher bandwidth density than equivalent electrical links. However, the power consumed in these silicon-photonic links more than offsets any bandwidth advantages, in turn limiting their widespread adoption for designing manycore systems.This project explores system-level techniques (both reactive and proactive) to minimize power dissipation and maximize bandwidth of the silicon-photonic networks (inter-chip and intra-chip), and in turn improve the energy efficiency of manycore systems. In particular, the project focuses on the two largest sources of power consumption in silicon-photonic links - the laser sources and the active tuning of modulator/filter rings (required to maintain resonance under thermal variations). Four techniques - run-time assignment of photonic resources, workload scheduling/migration, memory mapping, and dynamic voltage and frequency scaling (DVFS), that use run-time system dynamics to reconfigure the system for improving its energy efficiency are being investigated. A vertically integrated approach where these system-level techniques are explored while being cognizant of the underlying silicon-photonic link circuits and silicon-photonic devices is adopted.At a broader level, this project paves the way for the rapid adoption of silicon-photonic link technology to enable the design of energy-efficient manycore systems. This can provide energy-efficient computing solutions in turn reducing the cost of operation and carbon footprint of the nation?s computing server farms and data centers. On the educational front, the project leverages the numerous outreach programs run by Boston University to engage students with various backgrounds and levels of education in the different research activities associated with the project.
在过去的几十年里,全球通用计算能力以每年超过50%的速度增长,预计这一趋势将在未来继续下去。然而,这种增加的计算能力直接转化为增加的功耗。事实上,2006年,美国的服务器场和数据中心消耗了全国总电力的1.5%,而且这个数字每年都在稳步增长,这使得为计算系统开发节能解决方案至关重要。计算机科学家和工程师转向设计在单个芯片上具有数十个低功耗内核的系统,以解决功耗问题,同时通过并行性提高计算能力。然而,这些众核系统的部署一直受到当前和预计的电气技术中缺乏节能高带宽密度(片上和片外)链路解决方案的阻碍。硅光子链路技术可以潜在地解决这个问题,因为它提供了比等效电链路高一个数量级的带宽密度。然而,在这些硅光子链路消耗的功率超过抵消任何带宽优势,反过来限制了他们的广泛采用设计manycore systems.This项目探讨系统级技术(包括被动式和主动式),以尽量减少功耗和最大限度地提高带宽的硅光子网络(芯片间和芯片内),并反过来提高能源效率的manycore系统。特别是,该项目侧重于硅光子链路中两个最大的功耗来源-激光源和调制器/滤波器环的有源调谐(需要在热变化下保持谐振)。四种技术-运行时分配的光子资源,工作负载调度/迁移,内存映射,和动态电压和频率缩放(DVFS),使用运行时系统动态重新配置系统,以提高其能源效率正在研究。采用垂直集成的方法,探索这些系统级技术,同时认识到底层的硅-光子链路电路和硅-光子器件。在更广泛的层面上,该项目为快速采用硅-光子链路技术铺平了道路,以实现节能的众核系统的设计。这可以提供节能的计算解决方案,从而降低国家的运营成本和碳足迹?的计算服务器农场和数据中心。在教育方面,该项目利用波士顿大学开展的众多外展计划,让不同背景和教育水平的学生参与与该项目相关的不同研究活动。
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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Ajay Joshi其他文献
Photonics for Sustainable Computing
用于可持续计算的光子学
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Farbin Fayza;Satyavolu Papa Rao;D. Bunandar;Udit Gupta;Ajay Joshi - 通讯作者:
Ajay Joshi
Scalability Limitations of Processing-in-Memory using Real System Evaluations
使用真实系统评估的内存处理的可扩展性限制
- DOI:
10.1145/3652963.3655079 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Gilbert Jonatan;Haeyoon Cho;Hyojun Son;Xiangyu Wu;Neal Livesay;Evelio Mora;Kaustubh Shivdikar;José L. Abellán;Ajay Joshi;David Kaeli;John Kim - 通讯作者:
John Kim
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
LEAF-QA:定位、编码
- DOI:
10.1109/wacv45572.2020.9093269 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Ritwick Chaudhry;Sumit Shekhar;Utkarsh Gupta;Pranav Maneriker;Prann Bansal;Ajay Joshi - 通讯作者:
Ajay Joshi
Case of Polymorphic Ventricular Tachycardia in Diphenhydramine Poisoning
苯海拉明中毒多形性室性心动过速一例
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:0
- 作者:
Ajay Joshi;Tatjana Sljapic;H. Borghei;P. Kowey - 通讯作者:
P. Kowey
IOMMU Deferred Invalidation Vulnerability: Exploit and Defense
IOMMU延迟失效漏洞:利用与防御
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Chathura Rajapaksha;Leila Delshadtehrani;Richard Muri;Manuel Egele;Ajay Joshi - 通讯作者:
Ajay Joshi
Ajay Joshi的其他文献
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{{ truncateString('Ajay Joshi', 18)}}的其他基金
Collaborative Research: CSR: Medium: Architecting GPUs for Practical Homomorphic Encryption-based Computing
协作研究:CSR:中:为实用的同态加密计算构建 GPU
- 批准号:
2312276 - 财政年份:2023
- 资助金额:
$ 46.93万 - 项目类别:
Continuing Grant
SHF: Small: Architecting the COSMOS:A Combined System of Optical Phase Change Memory and Optical Links
SHF:小型:构建 COSMOS:光学相变存储器和光学链路的组合系统
- 批准号:
2131127 - 财政年份:2021
- 资助金额:
$ 46.93万 - 项目类别:
Standard Grant
CNS:CSR Collaborative Research: Leveraging Intra-chip/Inter-chip Silicon-Photonic Networks for Designing Next-Generation Accelerators
CNS:CSR 协作研究:利用芯片内/芯片间硅光子网络设计下一代加速器
- 批准号:
1525474 - 财政年份:2015
- 资助金额:
$ 46.93万 - 项目类别:
Standard Grant
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