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Analysis of Coupling Transition for the Encoded Data and Its Logical Level Power Analysis

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Data Engineering and Communication Technology

Abstract

Low power is applied while designing a chip and it is the important challenge faced by VLSI designer. Interconnections and internal parameters of bulk connections will consume maximum amount of power when the technology shrinks, when data is transmitted to bus architecture it consumes a significant amount of power, and when transitions occur more power is required, and hence power has to be saved. Switching activity power can be minimized by design and controlling encoding system in the network and power is altered with voltage from the supply rails and interconnected capacitance. Minimization of the capacitance by using charging and discharging activity which is nothing but a encoding techniques. A new technique is proposed in nanometer technology.

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References

  1. Alamgir M, Basith II, Supon T, Rashidzadeh R (2015) Improved bus-shift coding for low-power I/O. In: 2015 IEEE International symposium on circuits and systems (ISCAS), pp. 2940–2943. IEEE

    Google Scholar 

  2. Qian W, Wang R, Wang Y, Riedel M, Huang R (2019) A survey of computation-driven data encoding. In: 2019 IEEE international workshop on signal processing systems (SiPS), pp 7–12. IEEE

    Google Scholar 

  3. Fan CP, Fang CH (2011) Efficient RC low-power bus encoding methods for crosstalk reduction. Integration 44(1):75–86

    Article  MathSciNet  Google Scholar 

  4. Thubrikar T, Kakde S, Gaidhani S, Kamble S, Shah N (2017) Design and implementation of low power test pattern generator using low transitions LFSR. In: 2017 international conference on communication and signal processing (ICCSP), pp 0467–0471. IEEE

    Google Scholar 

  5. Karakus C, Sun Y, Diggavi S (2017) Encoded distributed optimization. In: 2017 IEEE international symposium on information theory (ISIT), pp 2890–2894. IEEE

    Google Scholar 

  6. Ramachandran A, Rajaram B, Purini S, Regeti G (2010) Transition inversion based low power data coding scheme for buffered data transfer. In: 2010 23rd international conference on VLSI design, pp 164–169. IEEE

    Google Scholar 

  7. Lee SE, Bagherzadeh N (2009) A variable frequency link for a power-aware network-on-chip (NoC). Integration 42(4):479–485

    Article  Google Scholar 

  8. Singh B, Khosla A, Narang SB (2013) Low power bus encoding techniques for memory testing. Microelectron Solid State Electron 2(3):45–51

    Google Scholar 

  9. Lee W, Kang M, Hong S, Kim S (2019) Interpage-based endurance-enhancing lower state encoding for MLC and TLC flash memory storages. IEEE Trans Very Large Scale Integr (VLSI) Syst 27(9):2033–2045

    Google Scholar 

  10. Padmapriya K (2013) Low power bus encoding for deep sub micron VLSI circuits

    Google Scholar 

  11. Sotiriadis PP, Chandrakasan A (2000) Low power bus coding techniques considering inter-wire capacitances. In: Proceedings of the IEEE 2000 custom integrated circuits conference, pp 507–510. IEEE

    Google Scholar 

  12. Nayak VSP, Madhulika C, Pravali U (2017) Design of low power hamming code encoding, decoding and correcting circuits using reversible logic. In: 2017 2nd IEEE international conference on recent trends in electronics, information & communication technology (RTEICT), pp 778–781. IEEE

    Google Scholar 

  13. Chennakesavulu M, Prasad TJ, Sumalatha V (2018) Data encoding techniques to improve the performance of system on chip. J King Saud Univ Comput Inf Sci

    Google Scholar 

  14. Sathish A, Latha MM, Lalkishore KP (2012) High performance data bus encoding technique in dsm technology. Int J Commun 3(2):1

    Google Scholar 

  15. Sarkar S, Biswas A, Dhar AS, Rao RM (2017) Adaptive bus encoding for transition reduction on off-chip buses with dynamically varying switching characteristics. IEEE Trans Very Large Scale Integr (VLSI) Syst 25(11):3057–3066

    Google Scholar 

  16. Raghunandan C, Sainarayanan KS, Srinivas MB (2006) Encoding with repeater insertion for minimizing delay in VLSI interconnects. In: 2006 6th international workshop on system on chip for real time applications, pp 205–210. IEEE

    Google Scholar 

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Correspondence to Shavali Vennapusapalli .

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Vennapusapalli, S., Sreerama Reddy, G.M., Patel, R.R. (2021). Analysis of Coupling Transition for the Encoded Data and Its Logical Level Power Analysis. In: Reddy, K.A., Devi, B.R., George, B., Raju, K.S. (eds) Data Engineering and Communication Technology. Lecture Notes on Data Engineering and Communications Technologies, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-16-0081-4_19

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