On Evolutionary Approximation of Logic Circuits

作者: Lukas Sekanina , Zdenek Vasicek

DOI: 10.1007/978-3-319-13350-8_27

关键词:

摘要: The concept of approximation has intensively been studied, developed and applied not only in computer science, but also mathematics engineering disciplines. never ending requirement for low power consumption led to making approximate circuits systems even the areas which accurately working solutions have traditionally accepted. Approximate are relaxing on functional equivalence between specification implementation order reduce area a chip, delay or energy consumption. computing machines further exploit apply this idea at all system levels. This paper introduces field shows how evolutionary design methods can automate process systems, particular, logic circuits.

参考文章(24)
Jozef Gruska, Foundations of Computing ,(1997)
Jack E. Volder, The Birth of Cordic signal processing systems. ,vol. 25, pp. 101- 105 ,(2000) , 10.1023/A:1008110704586
Jens Lienig, Igor L. Markov, Andrew B. Kahng, Jin Hu, VLSI Physical Design: From Graph Partitioning to Timing Closure ,(2011)
Anand Raghunathan, Swagath Venkataramani, Kaushik Roy, Substitute-and-simplify: a unified design paradigm for approximate and quality configurable circuits design, automation, and test in europe. pp. 1367- 1372 ,(2013) , 10.5555/2485288.2485615
Swagath Venkataramani, Amit Sabne, Vivek Kozhikkottu, Kaushik Roy, Anand Raghunathan, SALSA Proceedings of the 49th Annual Design Automation Conference on - DAC '12. pp. 796- 801 ,(2012) , 10.1145/2228360.2228504
Parag Kulkarni, Puneet Gupta, Miloš D. Ercegovac, Trading Accuracy for Power in a Multiplier Architecture Journal of Low Power Electronics. ,vol. 7, pp. 490- 501 ,(2011) , 10.1166/JOLPE.2011.1157
Vaibhav Gupta, Debabrata Mohapatra, Anand Raghunathan, Kaushik Roy, Low-Power Digital Signal Processing Using Approximate Adders IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. ,vol. 32, pp. 124- 137 ,(2013) , 10.1109/TCAD.2012.2217962
Harry Buhrman, Ronald de Wolf, Complexity measures and decision tree complexity: a survey Theoretical Computer Science. ,vol. 288, pp. 21- 43 ,(2002) , 10.1016/S0304-3975(01)00144-X
Jie Han, Michael Orshansky, Approximate computing: An emerging paradigm for energy-efficient design european test symposium. pp. 1- 6 ,(2013) , 10.1109/ETS.2013.6569370
Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan, Analysis and characterization of inherent application resilience for approximate computing design automation conference. pp. 113- ,(2013) , 10.1145/2463209.2488873