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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2020 - 13
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Design Time Temperature Reduction in Mixed Polarity Dual Reed-Muller Network: a NSGA-II Based Approach

DAS, A. See more information about DAS, A. on SCOPUS See more information about DAS, A. on IEEExplore See more information about DAS, A. on Web of Science, PRADHAN, S. N. See more information about PRADHAN, S. N. on SCOPUS See more information about PRADHAN, S. N. on SCOPUS See more information about PRADHAN, S. N. on Web of Science
 
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Download PDF pdficon (528 KB) | Citation | Downloads: 377 | Views: 964

Author keywords
genetic algorithms, logic design, Pareto optimization, power dissipation, thermal analysis

References keywords
thermal(7), power(6), aware(6), pradhan(5), circuits(5), systems(4), reed(4), optimization(4), muller(4), design(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-02-28
Volume 20, Issue 1, Year 2020, On page(s): 99 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.01013
Web of Science Accession Number: 000518392600013
SCOPUS ID: 85083705344

Abstract
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Proposed work addresses the existing thermal problem of OR-XNOR based circuit by introducing design time thermal management technique at the logic level. The approach is used to reduce the peak temperature by eliminating local hotspots. In proposed thermal-aware synthesis, non-dominated sorting genetic algorithm-II (NSGA-II) based meta-heuristic search algorithm is used to select a suitable input polarity of Mixed Polarity Dual Reed-Muller Expansion (MPDRM) to reduce the power and power-density by optimizing the area sharing. A parallel tabular technique is used for input polarity conversion from Product-of-Sum (POS) to MPDRM function. Finally, the optimized solutions are implemented in the physical design level to obtain the actual values of area, power, and temperature. MCNC benchmark suit is considered for performance evaluation. A comparative study of the proposed approach with existing state-of-art algorithms such as fixed and mixed polarity Reed-Muller network is reported. A significant reduction in area occupancy, power dissipation, and peak temperature generation are reported.


References | Cited By  «-- Click to see who has cited this paper

[1] L. Shang and R. P. Dick, Thermal crisis: challenges and potential solutions. IEEE Potential, vol. 25, pp. 31-35, 2006.
[CrossRef] [SCOPUS Times Cited 20]


[2] A. Das, A. Debnath & S N Pradhan, "Area, power and temperature optimization during binary decision diagram based circuit synthesis," in Proc. IEEE Devices for Integrated Circuit, 2017, pp. 778-782.
[CrossRef] [SCOPUS Times Cited 5]


[3] A. Iranfar, M. Kamal, A. Afzali-Kusha, M. Pedram & D. Atienza, "Thespot: Thermal stress-aware power and temperature management for multiprocessor systems-on-chip," IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 8, pp. 1532-1545, 2018.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 19]


[4] W. L. Hung, Y. Xie, N. Vijaykrishnan, C. Addo-Quaye, T. Theocharides & M. J. Irwin, "Thermal-aware floorplanning using genetic algorithms," in Proc. IEEE 6th international symposium on quality electronic design (isqed'05), 2005, pp. 634-639.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 88]


[5] S. H. Gunther, "Managing the impact of increasing microprocessor power consumption," Intel Technology Journal, vol. 5, no. 1, pp. 1-9, 2001.

[6] A. Das, S. N. Pradhan, "Thermal aware FPRM based AND-XOR network synthesis of logic circuits," in Proc. IEEE 2nd International Conf. on Recent Trends in Information Systems (ReTIS), pp. 497-502, 2015.
[CrossRef] [SCOPUS Times Cited 13]


[7] A. Das, S. N. Pradhan, "Shared Reed-Muller decision diagram based thermal-aware AND-XOR decomposition of logic circuits," VLSI Design, vol. 2016, pp. 1-14, 2016.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 13]


[8] A. Das, S. N. Pradhan, "Area-Power-Temperature Aware AND-XOR Network Synthesis based on Shared Mixed Polarity Reed-Muller Expansion," International Journal of Intelligent Systems and Applications, vol. 10, no. 12, pp. 35-46, 2018.
[CrossRef] [SCOPUS Times Cited 2]


[9] A. Das, S. N. Pradhan, "Thermal-aware Output Polarity Selection Based on And-Inverter Graph Manipulation," Recent Advances in Electrical & Electronic Engineering, vol. 12, no. 1, pp. 30-39, 2019.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 1]


[10] N. Alon, T. Kaufman, M. Krivelevich, S. Litsyn, & D. Ron, "Testing reed-muller codes," IEEE Trans. on Inf. Theory, vol. 51, no. 11, pp. 4032-4039, 2005.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 96]


[11] P. Wang, J. Lu, J. Xu, & J. Dai, "Power optimization algorithm based on XNOR/OR logic," Journal of Electronics, vol. 26, no. 1, pp. 138-144, 2009.
[CrossRef] [SCOPUS Times Cited 2]


[12] M. Pedram & S. Nazarian, "Thermal modeling, analysis, and management in VLSI circuits: Principles and methods," in Proc. of the IEEE, vol. 94, no. 8, pp. 1487-1501, 2006.
[CrossRef] [Web of Science Times Cited 257] [SCOPUS Times Cited 312]


[13] M. Yang, L. L. Wang, J. R. Tong & A. E. A. Almaini, "Techniques for dual forms of Reed-Muller expansion conversion," Integration, vol. 41, no. 1, pp. 113-122, 2008.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 12]


[14] Y. Haizhen, J. Zhidi, W. Pengjun, & L. Kangping, "GA-DTPSO algorithm and its application in area optimization of mixed polarity XNOR/OR circuits," Journal of Computer-Aided Design & Computer Graphics, vol. 27, no. 5, pp. 946-952, 2015.

[15] K. Deb, A. Pratap, S. Agarwal & T. A. M. T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE trans. on evolutionary computation, vol. 6, no. 2, pp. 182-197, 2002.
[CrossRef] [Web of Science Times Cited 21604] [SCOPUS Times Cited 27535]


[16] K. Deb, "Multi-objective optimization using evolutionary algorithms," John Wiley and Sons, 2003.

[17] D. S. H. Ram, M. C. Bhuvaneswari & S. Umadevi, "Improved low power FPGA binding of datapaths from data flow graphs with NSGA II-based schedule selection," Advances in Electrical and Computer Engineering, vol. 13, no. 4, pp. 85-92, 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[18] MCNC benchmark suit, [Online] Available: Temporary on-line reference link removed - see the PDF document

[19] Cadence Innovus implementation system, [Online] Available: Temporary on-line reference link removed - see the PDF document.

[20] HotSpot, [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 22,017 TCR
SCOPUS® Citations for all references: 28,122 TCR

Web of Science® Average Citations per reference: 1,048 ACR
SCOPUS® Average Citations per reference: 1,339 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-11-21 02:37 in 89 seconds.




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