Title :
SAPP: scalable and adaptable peak power management in nocs
Author :
Bhojwani, P.S. ; Lee, Jonah D. ; Mahapatra, R.N.
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
To address peak power concerns in networks-on-chip (NoCs), dynamic peak power management schemes that handle varying power requirements are essential. Previous schemes use deterministic peak power budget management techniques that do not scale or adapt efficiently to changing power budget requirements. Using a non-deterministic and independent approach, this research proposes SAPP, a Scalable and Adaptable Peak Power management technique for NoCs. Evaluation of SAPP on uniform and non-uniform varying injection loads demonstrates flit latency and effective throughput improvements averaging 47% and 36%, respectively. Efficient power budget utilization makes SAPP an ideal technique for peak power management in NoCs under varying traffic patterns.
Keywords :
logic design; network-on-chip; power consumption; SAPP technique; adaptable peak power management; networks-on-chip; scalable peak power management; Computer network management; Computer science; Delay; Energy consumption; Energy management; Financial management; Network-on-a-chip; Scalability; Telecommunication network reliability; Throughput; NoC; network-on-chip; peak power;
Conference_Titel :
Low Power Electronics and Design (ISLPED), 2007 ACM/IEEE International Symposium on
Electronic_ISBN :
978-1-59593-709-4
DOI :
10.1145/1283780.1283852