TY  - EJOU
AU  - Fang, Juan 
AU  - Mao, Yunfei 
AU  - Cai, Min 
AU  - Zhao, Li’ang 
AU  - Chen, Huijie 
AU  - Xiang, Wei 

TI  - STTAR: A Traffic- and Thermal-Aware Adaptive Routing for 3D Network-on-Chip Systems
T2  - Computers, Materials \& Continua

PY  - 2022
VL  - 72
IS  - 3
SN  - 1546-2226

AB  - Since the three-dimensional Network on Chip (3D NoC) uses through-silicon via technology to connect the chips, each silicon layer is conducted through heterogeneous thermal, and 3D NoC system suffers from thermal problems. To alleviate the seriousness of the thermal problem, the distribution of data packets usually relies on traffic information or historical temperature information. However, thermal problems in 3D NoC cannot be solved only based on traffic or temperature information. Therefore, we propose a Score-Based Traffic- and Thermal-Aware Adaptive Routing (STTAR) that applies traffic load and temperature information to routing. First, the STTAR dynamically adjusts the input and output buffer lengths of each router with traffic load information to limit routing resources in overheated areas and control the rate of temperature rise. Second, STTAR adopts a scoring strategy based on temperature and the number of free slots in the buffer to avoid data packets being transmitted to high-temperature areas and congested areas and to improve the rationality of selecting routing output nodes. In our experiments, the proposed scoring Score-Based Traffic- and Thermal-Aware Adaptive Routing (STTAR) scheme can increase the throughput by about 14.98% to 47.90% and reduce the delay by about 10.80% to 35.36% compared with the previous works.
KW  - Buffer allocation; thermal; 3D NoC; routing algorithm

DO  - 10.32604/cmc.2022.027177