Exploiting Application/System-Dependent Ambient Temperature for Accurate Microarchitectural Simulation

被引:13
作者
Jang, Hyung Beom [1 ]
Choi, Jinhang [1 ]
Yoon, Ikroh [2 ]
Lim, Sung-Soo [3 ]
Shin, Seungwon [2 ]
Chang, Naehyuck [4 ]
Chung, Sung Woo [1 ]
机构
[1] Korea Univ, Coll Informat & Commun, Dept Comp & Radio Commun Engn, Seoul 136713, South Korea
[2] Hongik Univ, Coll Engn, Dept Mech Engn, Seoul 136713, South Korea
[3] Kookmin Univ, Coll Elect Engn & Comp Sci, Sch Comp Sci, Seoul 136702, South Korea
[4] Seoul Natl Univ, Sch Comp Sci & Engn, Coll Engn, Seoul 151010, South Korea
关键词
Dynamic thermal management (DTM); microarchitectural thermal simulation; ambient temperature; PERFORMANCE; MANAGEMENT;
D O I
10.1109/TC.2012.24
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the early design stage of processors, Dynamic Thermal Management (DTM) schemes should be evaluated to avoid excessively high temperature, while minimizing performance overhead. In this paper, we show that conventional thermal simulations using the fixed ambient temperature may lead to the wrong conclusions in terms of temperature, performance, reliability, and leakage power. Though ambient temperature converges to a steady-state value after hundreds of seconds when we run SPEC CPU2000 benchmark suite, the steady-state ambient temperature is significantly different depending on applications and system configuration. To overcome inaccuracy of conventional thermal simulations, we propose that microarchitectural thermal simulations should exploit application/system-dependent ambient temperature. Our evaluation results reveal that performance, thermal behavior, reliability, and leakage power of the same DTM scheme are different when we use the application/system-dependent ambient temperature instead of the fixed ambient temperature. For accurate simulation results, future microarchitectural thermal researchers are expected to evaluate their proposed DTM schemes based on application/system-dependent ambient temperature.
引用
收藏
页码:705 / 715
页数:11
相关论文
共 27 条
[1]  
[Anonymous], 2007, US GUID IC 4 4 6
[2]  
[Anonymous], 2009, INT COR 2DUO MOB PRO
[3]   Complete system power estimation: A trickle-down approach based on performance events [J].
Bircher, W. Lloyd ;
John, Lizy K. .
ISPASS 2007: IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE, 2007, :158-+
[4]   Calibration of microprocessor performance models [J].
Black, B ;
Shen, JP .
COMPUTER, 1998, 31 (05) :59-65
[5]   Exploring the Effects of On-Chip Thermal Variation on High-Performance Multicore Architectures [J].
Cher, Chen-Yong ;
Kursun, Eren .
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2011, 8 (01)
[6]  
Choi J, 2007, INT S HIGH PERF COMP, P205
[7]  
Desikan R, 2001, CONF PROC INT SYMP C, P266, DOI 10.1109/ISCA.2001.937455
[8]  
Donald J, 2006, CONF PROC INT SYMP C, P78, DOI 10.1145/1150019.1136493
[9]  
Eranian Stephane., 2008, MSPC '08: Proceedings of the 2008 ACM SIGPLAN workshop on Memory systems performance and correctness, P26
[10]   DIG: Rapid Characterization of Modern Hard Disk Drive and its performance implication [J].
Gim, Jongmin ;
Won, Youjip ;
Chang, Jaehyeok ;
Shim, Junseok ;
Park, Youngseon .
SNAPI 2008: FIFTH IEEE INTERNATIONAL WORKSHOP ON STORAGE NETWORK ARCHITECTURE AND PARALLEL I/OS, PROCEEDINGS, 2008, :74-+