Thermal Safe Power (TSP): Efficient Power Budgeting for Heterogeneous Manycore Systems in Dark Silicon

被引:66
作者
Pagani, Santiago [1 ]
Khdr, Heba [1 ]
Chen, Jian-Jia [2 ]
Shafique, Muhammad [1 ]
Li, Minming [3 ]
Henkel, Jorg [1 ]
机构
[1] KIT, CES, Karlsruhe, Germany
[2] TU Dortmund, Dept Informat, Dortmund, Germany
[3] City Univ Hong Kong CityU, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
关键词
Thermal safe power (TSP); thermal design power (TDP); power management; dark silicon; heterogeneity;
D O I
10.1109/TC.2016.2564969
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Chip manufacturers provide the Thermal Design Power (TDP) for a specific chip. The cooling solution is designed to dissipate this power level. But because TDP is not necessarily the maximum power that can be applied, chips are operated with Dynamic Thermal Management (DTM) techniques. To avoid excessive triggers of DTM, usually, system designers also use TDP as power constraint. However, using a single and constant value as power constraint, e.g., TDP, can result in significant performance losses in homogeneous and heterogeneous manycore systems. Having better power budgeting techniques is a major step towards dealing with the dark silicon problem. This paper presents a new power budget concept, called Thermal Safe Power (TSP), which is an abstraction that provides safe power and power density constraints as a function of the number of simultaneously active cores. Executing cores at any power consumption below TSP ensures that DTM is not triggered. TSP can be computed offline for the worst cases, or online for a particular mapping of cores. TSP can also serve as a fundamental tool for guiding task partitioning and core mapping decisions, specially when core heterogeneity or timing guarantees are involved. Moreover, TSP results in dark silicon estimations which are less pessimistic than estimations using constant power budgets.
引用
收藏
页码:147 / 162
页数:16
相关论文
共 28 条
[1]  
Amrouch H., 2016, P 53 IEEE ACM DES AU
[2]  
[Anonymous], P 51 ANN DES AUT C
[3]  
[Anonymous], 2008, CISC VIS NETW IND GL
[4]   The PARSEC Benchmark Suite: Characterization and Architectural Implications [J].
Bienia, Christian ;
Kumar, Sanjeev ;
Singh, Jaswinder Pal ;
Li, Kai .
PACT'08: PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES, 2008, :72-81
[5]  
Binkert Nathan, 2011, Computer Architecture News, V39, P1, DOI 10.1145/2024716.2024718
[6]  
Casazza J., 2009, CISC VIS NETW IND GL
[7]  
Cebrian J. M., 2011, THESIS
[8]  
Charles J, 2009, I S WORKL CHAR PROC, P188, DOI 10.1109/IISWC.2009.5306782
[9]  
Dantzig G., 2003, LINEAR PROGRAM 2 THE, V2
[10]  
Ebi T., 2011, 2011 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), P189