DocumentCode :
618555
Title :
Quadrisection-based task mapping on many-core processors for energy-efficient on-chip communication
Author :
Michael, Nathan ; Yao Wang ; Suh, G. Edward ; Tang, Anthony
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fYear :
2013
fDate :
21-24 April 2013
Firstpage :
1
Lastpage :
2
Abstract :
Network-on-chip (NoC) promises better scalability and power efficiency compared to traditional on-chip interconnects. But in order to fully exploit the benefits offered by the new paradigm, especially as the number of cores in the network increases, challenging resource management questions need to be addressed. Of particular interest and the subject of our study is the question of how to map applications to processors (network nodes) in a NoC so as to minimize the dynamic power consumption of the NoC.
Keywords :
integrated circuit interconnections; multiprocessing systems; network-on-chip; power consumption; NoC; dynamic power consumption minimization; energy-efficient on-chip communication; many-core processor; network node; network-on-chip; on-chip interconnect; power efficiency; quadrisection-based task mapping; resource management; scalability; Benchmark testing; Computer architecture; Program processors; Routing; System-on-chip; Topology; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks on Chip (NoCS), 2013 Seventh IEEE/ACM International Symposium on
Conference_Location :
Tempe, AZ
Print_ISBN :
978-1-4673-6491-1
Electronic_ISBN :
978-1-4673-6492-8
Type :
conf
DOI :
10.1109/NoCS.2013.6558409
Filename :
6558409
Link To Document :
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