Information Encryption Methods to Reduce Network-on-Chip Energy Efficiency

2019 ◽  
Vol 23 (1) ◽  
pp. 455-465
Author(s):  
Dr.D.R.V.A. Sharath Kumar ◽  
P.A. Lovina

Network-on-Chip provides possible solutions for the limitations and challenges by the present day architectures for the interconnections. The characteristics of NoCs include energy efficiency, reliability, scalability, reusability and distributed routing decisions. The existence of today’s semiconductor industry depends on shorter time-to-market, challenge of meeting increasing transistor density, reduced product life cycle, and operating frequencies getting higher. This paper discusses about a design environment for the analysis of Verilog NoC module. Tools such as Icarus Verilog, GTK Wave, Yosys etc. which are used for compilation, simulation and synthesis of the NoC are also discussed in this paper.





Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Juan Fang ◽  
Sitong Liu ◽  
Shijian Liu ◽  
Yanjin Cheng ◽  
Lu Yu

Burst growing IoT and cloud computing demand exascale computing systems with high performance and low power consumption to process massive amounts of data. Modern system platforms based on fundamental requirements encounter a performance gap in chasing exponential growth in data speed and amount. To narrow the gap, a heterogamous design gives us a hint. A network-on-chip (NoC) introduces a packet-switched fabric for on-chip communication and becomes the de facto many-core interconnection mechanism; it refers to a vital shared resource for multifarious applications which will notably affect system energy efficiency. Among all the challenges in NoC, unaware application behaviors bring about considerable congestion, which wastes huge amounts of bandwidth and power consumption on the chip. In this paper, we propose a hybrid NoC framework, combining buffered and bufferless NoCs, to make the NoC framework aware of applications’ performance demands. An optimized congestion control scheme is also devised to satisfy the requirement in energy efficiency and the fairness of big data applications. We use a trace-driven simulator to model big data applications. Compared with the classical buffered NoC, the proposed hybrid NoC is able to significantly improve the performance of mixed applications by 17% on average and 24% at the most, decrease the power consumption by 38%, and improve the fairness by 13.3%.



2018 ◽  
Vol 14 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Vincenzo Catania ◽  
Andrea Mineo ◽  
Salvatore Monteleone ◽  
Maurizio Palesi ◽  
Davide Patti


2014 ◽  
Vol 5 (1) ◽  
pp. 27-32
Author(s):  
Jeeva Anusha ◽  
◽  
V. Thrimurthulu ◽  


2014 ◽  
Vol 35 (2) ◽  
pp. 341-346
Author(s):  
Xiao-fu Zheng ◽  
Hua-xi Gu ◽  
Yin-tang Yang ◽  
Zhong-fan Huang




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