Study on Heat Conduction in a Simulated Multicore Processor Chip—Part I: Analytical Modeling

Author:

Nakayama Wataru1

Affiliation:

1. Fellow ASME ThermTech International, 920-7 Higashi Koiso, Oh-Iso Machi, Kanagawa 255-0004, Japan e-mail:

Abstract

A system of temperature calculations is developed to study the conditions leading to hot spot occurrence on multicore processor chips. The analysis is performed on a physical model which incorporates certain salient features of multicore processor. The model has active and background cells laid out in a checkered pattern, and the pattern repeats itself in fine grain active cells. The die has a buried dioxide and a wiring layer stacked on the die body, and heat sources are placed at the wiring layer/buried oxide interface. With this model we explore the effects of various parameters on the target spot temperature. The parameters are the die dimensions, the materials' thermal conductivities, the effective heat transfer coefficients on the die surfaces, the power map, and the spatial resolution with which we view the power and temperature distributions on the die. Closed-form analytical solutions are derived and used to examine the roles of these parameters in creating hot spots. The present paper reports the details of mathematical formulations and steps of temperature calculation. The results for a particular example case are included to illustrate what can be learned from the calculations.

Publisher

ASME International

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference60 articles.

1. Hotspot-Limited Microprocessors: Direct Temperature and Power Distribution Measurements;IEEE J. Solid-State Circuits,2007

2. Mesa-Martinez, F. J., Nayfach-Battilana, J., and Rebau, J., 2007, “Power Model Validation Through Thermal Measurements,” Proceedings ISCA’07, San Diego, CA, June 9–13, pp. 1–9.

3. Temperature Variation Characterization and Thermal Management of Multicore Architectures,;IEEE MICRO,2009

4. Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques;IEEE Trans. Comput.,2011

5. Huang, W., Skadron, K., Gurumurthi, S., Ribando, R. J., and Stan, M. R., 2009, “Differentiating the Roles of IR Measurement and Simulation for Power and Temperature-Aware Design,” Proceedings of IEEE International Symposium Performance Analysis of Systems and Sofware (ISPASS 2009), Boston, MA, April 26–28, pp. 1–10.10.1109/ISPASS.2009.4919633

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3