DocumentCode :
1769114
Title :
Performance and network power evaluation of tightly mixed SRAM NUCA for 3D Multi-core Network on Chips
Author :
Yuang Zhang ; Li Li ; Zhonghai Lu ; Jantsch, Axel ; Yuxiang Fu ; Minglun Gao
Author_Institution :
Key Lab. of Adv. Photonic & Electron. Mater., Nanjing Univ., Nanjing, China
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
1961
Lastpage :
1964
Abstract :
Last level cache (LLC) is crucial for the performance of chip multiprocessors (CMPs), while power is a significant design concern for 3D CMPs. In this paper, we focus on the SRAM-based Non-Uniform Cache Architecture (NUCA) for 3D Multi-core Network-on-Chip (McNoC) systems. A tightly mixed SRAM NUCA for 3D mesh NoC is presented and analyzed. We evaluate the performance and network power with benchmarks based on a full system simulation framework. Experiment results on 16-core 3D NoC systems show that the tightly mixed NUCA could provide up to 31.71% and on average 5.95% performance improvement compared to a base 3D NUCA scheme. The tightly mixed 3D NUCA NoC can reduce network power consumption in 1.07%-15.74% and 9.64% on average compared to a baseline 3D NoCs. Our analysis and experimental results provide a guideline to design efficient 3D NoCs with stacking NUCA.
Keywords :
SRAM chips; cache storage; multiprocessing systems; network-on-chip; 3D CMP; 3D McNoC systems; 3D mesh NoC; 3D multicore network on chips; LLC; SRAM NUCA; SRAM-based nonuniform cache architecture; chip multiprocessors; full system simulation framework; last level cache; network power consumption; network power evaluation; Benchmark testing; Multicore processing; Power demand; Random access memory; Stacking; Three-dimensional displays; 3D Chip; Multi-core; NUCA; NoC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865546
Filename :
6865546
Link To Document :
بازگشت