Paper Info
Title
SSS: self-aware system-on-chip using static-dynamic hybrid method (work-in-progress)
Abstract
Network on chip has become the de facto communication standard for multi-core or many-core system on chip, due to its scalability and flexibility. However, temperature is an important factor in NoC design, which affects the overall performance of SoC---decreasing circuit frequency, increasing energy consumption, and even shortening chip lifetime. In this paper, we propose SSS, a self-aware SoC using a static-dynamic hybrid method, which combines dynamic mapping and static mapping to reduce the hot-spots temperature for NoC based SoCs. First, we propose monitoring the thermal distribution for self-state sensoring. Then, in static mapping stage, we calculate the optimal mapping solutions under different temperature modes using discrete firefly algorithm to help self-decision making. Finally, in dynamic mapping stage, we achieve dynamic mapping through configuring NoC and SoC sentient unit for self-optimizing. Experimental results show SSS can reduce the peak temperature by up to 30.64%. FPGA prototype shows the effectiveness and smartness of SSS in reducing hot-spots temperature.
Year
DOI
Venue
2017
10.1145/3125501.3125527
CASES
Keywords
Field
DocType
Self-awareness,SoC architecture,NoC,Self-awareness,SoC architecture,NoC
System on a chip,Computer science,Work in process,Parallel computing,FPGA prototype,Network on a chip,Firefly algorithm,Chip,Real-time computing,Energy consumption,Scalability,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-5184-3
0
0.34
References 
Authors
3
6
Name
Order
Citations
PageRank
Gaoming Du162.76
Shibi Ma200.34
Zhenmin Li3124.21
Zhonghai Lu41063100.12
Yiming Ouyang5187.51
Minglun Gao610312.19