메뉴 건너뛰기




Volumn , Issue , 2012, Pages 310-315

Kriging-assisted ultra-fast simulated-annealing optimization of a clamped bitline sense amplifier

Author keywords

DRAM; Fast design optimization; Kriging methods; Metamodeling; Sense amplifier; Simulated annealing

Indexed keywords

ACCURATE DESIGN; AVERAGE EXECUTION TIME; BIT LINES; CIRCUIT PARAMETER; DESIGN OPTIMIZATION; DESIGN SPACES; EXHAUSTIVE SEARCH; KRIGING; KRIGING METAMODELS; KRIGING METHODS; LARGE CIRCUITS; META MODEL; METAMODELING; NANO CMOS; OPTIMIZATION ALGORITHMS; PRE-CHARGE; PROCESS PARAMETERS; PROCESS VARIATION; REGRESSION MODEL; SENSE AMPLIFIER; SIMULATED ANNEALING ALGORITHMS; STRONG CORRELATION EFFECT; TECHNOLOGY SCALING; ULTRA-FAST;

EID: 84859894425     PISSN: 10639667     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VLSID.2012.89     Document Type: Conference Paper
Times cited : (10)

References (21)
  • 6
    • 0032592167 scopus 로고    scopus 로고
    • Computing Confidence Intervals for Stochastic Simulation Using Neural Network Metamodels
    • R. A. Kilmer, A. E. Smith, and L. J. Shuman, "Computing Confidence Intervals for Stochastic Simulation Using Neural Network Metamodels, "Computers and Industrial Engineering, vol. 36, no. 2, pp. 391-407, 1999.
    • (1999) Computers and Industrial Engineering , vol.36 , Issue.2 , pp. 391-407
    • Kilmer, R.A.1    Smith, A.E.2    Shuman, L.J.3
  • 7
    • 0037143042 scopus 로고    scopus 로고
    • Simulation Metamodelling with Neural Networks: An Experimental Investigation
    • I. Sabuncuoglu and S. Touhami, "Simulation Metamodelling With Neural Networks: An Experimental Investigation." International Journal of Production Research, vol. 40, no. 11, pp. 2483-2505, 2002.
    • (2002) International Journal of Production Research , vol.40 , Issue.11 , pp. 2483-2505
    • Sabuncuoglu, I.1    Touhami, S.2
  • 8
    • 41449119248 scopus 로고    scopus 로고
    • Neural Network-based Simulation Metamodels for Predicting Probability Distributions
    • May
    • C. W. Zobel and K. B. Keeling, "Neural Network-based Simulation Metamodels for Predicting Probability Distributions," Computers and Industrial Engineering, vol. 54, pp. 879-888, May 2008.
    • (2008) Computers and Industrial Engineering , vol.54 , pp. 879-888
    • Zobel, C.W.1    Keeling, K.B.2
  • 11
    • 63049136810 scopus 로고    scopus 로고
    • Energy-Efficient Map Interpolation for Sensor Fields Using Kriging
    • May
    • B. Harrington, Y. Huang, J. Yang, and X. Li, "Energy-Efficient Map Interpolation for Sensor Fields Using Kriging," IEEE Transactions on Mobile Computing, vol. 8, no. 5, pp. 622-635, May 2009.
    • (2009) IEEE Transactions on Mobile Computing , vol.8 , Issue.5 , pp. 622-635
    • Harrington, B.1    Huang, Y.2    Yang, J.3    Li, X.4
  • 16
    • 84859887187 scopus 로고    scopus 로고
    • Kansas Geological Survey, Tech. Rep.
    • G. Bohling, "Kriging," Kansas Geological Survey, Tech. Rep., 2005.
    • (2005) Kriging
    • Bohling, G.1
  • 21
    • 77956916106 scopus 로고    scopus 로고
    • A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
    • August
    • D. Gorissen, I. Couckuyt, P. Demeester, T. Dhaene, and K. Crombecq, "A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design," J. Mach. Learn. Res., vol. 11, pp. 2051-2055, August 2010.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 2051-2055
    • Gorissen, D.1    Couckuyt, I.2    Demeester, P.3    Dhaene, T.4    Crombecq, K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.