TY - GEN
T1 - Congestion-aware scheduling for NoC-based reconfigurable systems
AU - Chao, Hung Lin
AU - Chen, Yean Ru
AU - Tung, Sheng Ya
AU - Hsiung, Pao Ann
AU - Chen, Sao Jie
PY - 2012/5/24
Y1 - 2012/5/24
N2 - Network-on-Chip (NoC) is becoming a promising communication architecture in place of dedicated interconnections and shared buses for embedded systems. Nevertheless, it has also created new design issue such as communication congestion and power consumption. A major factor leading to communication congestion is mapping of application tasks to NoC. Latency, throughput, and overall execution time are all affected by task mapping. As a solution, an efficient run-time Congestion-Aware Scheduling (CWS) is proposed for NoC-based reconfigurable systems, which predicts traffic pattern based on the link utilization. The proposed algorithm alleviates the overall congestion, instead of only improving the current packet blocking situation. Our experiment results have demonstrated that compared to other existing congestion-aware algorithm, the proposed CWS algorithm can reduce the average communication latency by 66%, increase the average throughput by 32%, reduce the energy consumption by 23%, and decrease the overall execution by 32%.
AB - Network-on-Chip (NoC) is becoming a promising communication architecture in place of dedicated interconnections and shared buses for embedded systems. Nevertheless, it has also created new design issue such as communication congestion and power consumption. A major factor leading to communication congestion is mapping of application tasks to NoC. Latency, throughput, and overall execution time are all affected by task mapping. As a solution, an efficient run-time Congestion-Aware Scheduling (CWS) is proposed for NoC-based reconfigurable systems, which predicts traffic pattern based on the link utilization. The proposed algorithm alleviates the overall congestion, instead of only improving the current packet blocking situation. Our experiment results have demonstrated that compared to other existing congestion-aware algorithm, the proposed CWS algorithm can reduce the average communication latency by 66%, increase the average throughput by 32%, reduce the energy consumption by 23%, and decrease the overall execution by 32%.
UR - http://www.scopus.com/inward/record.url?scp=84862085569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862085569&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862085569
SN - 9783981080186
T3 - Proceedings -Design, Automation and Test in Europe, DATE
SP - 1561
EP - 1566
BT - Proceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 2012
T2 - 15th Design, Automation and Test in Europe Conference and Exhibition, DATE 2012
Y2 - 12 March 2012 through 16 March 2012
ER -