DocumentCode :
125616
Title :
An Opto-electrical NoC with Traffic Flow Prediction in Chip Multiprocessors
Author :
Ghane, Millad ; Arjomand, Mohammad ; Sarbazi-Azad, H.
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2014
fDate :
12-14 Feb. 2014
Firstpage :
440
Lastpage :
443
Abstract :
Network-on-Chip (NoC) paradigm has emerged as a revolutionary methodology to integrate numerous IP blocks on a single chip. The achievable performance of adopting NoCs is constrained by the performance limitation mainly imposed by the metal wires that are the physical realization of communication channels. According to the International Technology Roadmap for Semiconductors (ITRS) report, new interconnect paradigms providing huge bandwidth is in need for future products. The current wired channels have limited bandwidth, and consequently, they limit the performance enhancements that NoC architectures can provide. Optical interconnects are capable of achieving better performance via high-speed high-bandwidth point-to-point connections, if their cost overhead can be mitigated. In this paper, we evaluate the performance of opto-electrical multistage NoC architectures which use a sample-based flow prediction method at hardware level with minimum communication and area overhead to predict heavily communicating flows. Our evaluation of the proposed structure demonstrates its superior functionality in terms of throughput, latency, and energy dissipation with respect to traditional NoC architectures.
Keywords :
integrated optoelectronics; multiprocessor interconnection networks; network-on-chip; IP blocks; chip multiprocessors; current wired channels; energy dissipation; high speed high bandwidth point to point connections; metal wires; network on chip; optical interconnects; optoelectrical NoC; sample based flow prediction method; traffic flow prediction; Computer architecture; Computer vision; Image motion analysis; Optical buffering; Optical fiber networks; Optical interconnections; Optical switches; History-based prediction; Opto-electrical NoCs; Performance evaluation; Set sampling; Traffic flow prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location :
Torino
ISSN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2014.108
Filename :
6787312
Link To Document :
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