SST: A Scalable Parallel Framework for Architecture-Level Performance, Power, Area and Thermal Simulation

被引:7
|
作者
Hsieh, Ming-yu [1 ]
Riesen, Rolf [2 ]
Thompson, Kevin [3 ]
Song, William [4 ]
Rodrigues, Arun [1 ]
机构
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
[2] IBM Res, Dublin, Ireland
[3] New Mexico State Univ, Dept EE, Las Cruces, NM 88003 USA
[4] Georgia Inst Technol, Dept ECE, Atlanta, GA 30332 USA
来源
COMPUTER JOURNAL | 2012年 / 55卷 / 02期
关键词
NoC; simulation framework; performance modeling; power consumption;
D O I
10.1093/comjnl/bxr069
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we describe the integrated power, area and thermal modeling framework in the structural simulation toolkit (SST) for large-scale high performance computer simulation. It integrates various power and thermal modeling tools and computes run-time energy dissipation for core, network on chip, memory controller and shared cache. It also provides functionality to update the leakage power as temperature changes. We illustrate the utilization of the framework by applying it to explore interconnect options in manycore systems with consideration of temperature variation and leakage feedback. We compare power, energy-delay-area product (EDAP) and energy-delay product (EDP) of four manycore configurations-1 core, 2 cores, 4 cores and 8 cores per cluster. Results from simulation with or without consideration of temperature variation both show that the 4-core per cluster configuration has the best EDAP and EDP. Even so, considering that temperature variation increases total power dissipation, we demonstrate the importance of considering temperature variation in the design flow. With this power, area and thermal modeling capability, the SST can be used for hardware/software co-design of future exascale systems.
引用
收藏
页码:181 / 191
页数:11
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