Publication 2017

Last Modified: April 12, 2021.

2017

T. Sasao, K. Matsuura, Y. Iguchi, ``An algorithm to find optimum support-reducing decompositions for index generation functions.'' Design Automation and Test in Europe, (DATE-2017), March 27-31,2017, Lausanne, Switzerland, pp.812-817. PDF
T. Sasao, "A linear decomposition of index generation functions: Optimization using autocorelation functions", Journal of Multiple-Valued Logic and Soft Computing, Vol. 28, No.1, pp.105-127, 2017. PDF
T. Sasao, "Index generation functions: Minimization methods," ISMVL-2017 (invited),pp.191-206, May 23, 2017, Novi Sao, Serbia. PDF
H. Nakahara, A. Jinguji, S. Sato and T. Sasao, ``A random forest using a multi-valued decision diagram,'' ISMVL-2017, pp.266-271. PDF
S. Nagayama, T. Sasao and J. T. Butler, ``An exact optimization algorithm for linear decomposition of index generation functions,'' ISMVL-2017, pp.161-166,. PDF
T. Sasao and M. Maeta, ``On affine equivalence of logic functions,'' International Workshop on Logic and Synthesis, Austin, Texas, June 17-18, 2017. PDF
T. Sasao, ``A fast updatable implementation of index generation functions using multiple IGUs,'' IEICE Trans. Inf. and Syst. Vol. E100-D, No.8, pp. 1574-1582, Aug. 2017. PDF
S. Nagayama, T. Sasao, and J. T. Butler, ``A balanced decision tree based heuristic for linear decomposition of index generation functions,'' IEICE Trans. Inf. and Syst. Vol. E100-D, No.8, pp. 1583-1591, Aug. 2017. PDF
J. T. Butler and T. Sasao, ``Analysis of the number of variables to represent index generation functions,'' B. Steinbach (e.d.) in Further Improvements in the Boolean Domain, Cambridge Scholar Publishing. PDF
H. Nakahara, H. Nakanishi, K. Iwai, and T. Sasao, "An FFT Circuit for a spectrometer of a radio telescope using the nested RNS including the Constant Division," ACM SIGARCH Computer Architecture News, Vol.12. Issue 4, pp.44-49, Jan. 2017.
I. Syafalni, K. Wakasugi, and T. Sasao, "Probe location checker for IC physical verification," 2017 IEEE TENCON, Penang, Malaysia, Nov. 5-8, 2017. (Best paper award).

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