The optimization of kEP-SOPs: Computational complexity, approximability and experiments

被引:4
|
作者
Bernasconi, Anna [1 ]
Ciriani, Valentina [2 ]
Cordone, Roberto [2 ]
机构
[1] Univ Pisa, Dept Comp Sci, I-56100 Pisa, Italy
[2] Univ Milan, Dept Informat Technol, I-26013 Crema, CR, Italy
关键词
experimentation; theory; verification;
D O I
10.1145/1344418.1344431
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We propose a new algebraic four-level expression called k-EXOR-projected sum of products (kEPSOP). The optimization of a kEP- SOP is NP (NP)-p hard, but can be approximated within a fixed performance guarantee in polynomial time. Moreover, fully testable circuits under the stuck-at-fault model can be derived from kEP- SOPs by adding at most a constant number of multiplexer gates. The experiments show that the computational time is very short and the results are most of the time optimal with respect to the number of products involved. kEP- SOPs also prove experimentally a good starting point for general multilevel logic synthesis.
引用
下载
收藏
页数:31
相关论文
共 50 条
  • [21] Cloud-distributed computational experiments for combinatorial optimization
    Brcic, Mario
    Hlupic, Nikica
    2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2017, : 197 - 201
  • [22] Computational complexity optimization in H.264 video coding
    Kwon, David Nyeongkyu
    2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5, 2007, : 2078 - 2081
  • [23] Computational Complexity Measures for Many-objective Optimization Problems
    Curry, David M.
    Dagli, Cihan H.
    COMPLEX ADAPTIVE SYSTEMS, 2014, 36 : 185 - 191
  • [24] Performance and computational complexity optimization in a configurable video coding system
    Kwon, D
    Agathoklis, PA
    Driessen, P
    WCNC 2003: IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE RECORD, VOLS 1-3, 2003, : 2086 - 2089
  • [25] Computational Complexity Analysis and Algorithm Design for Combinatorial Optimization Problems
    Watanabe, Toshimasa
    2012 THIRD INTERNATIONAL CONFERENCE ON NETWORKING AND COMPUTING (ICNC 2012), 2012, : 19 - 20
  • [26] Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization
    Walster, GW
    Kreinovich, V
    FUZZY SETS AND SYSTEMS, 2003, 135 (01) : 179 - 208
  • [27] Regional Traffic State Consensus Optimization based on Computational Experiments
    Wang Li
    Li Dai
    Liu Xiao-ming
    Li Zheng-xi
    2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1547 - 1552
  • [28] LOCALLY STOCHASTIC ALGORITHMS OF DISCRETE OPTIMIZATION (EXPERIMENTS AND COMPUTATIONAL EXPERIENCE)
    KOVALEV, MM
    PIRYANOVICH, VA
    CYBERNETICS, 1982, 18 (01): : 127 - 132
  • [29] On computational complexity of the electric power flow optimization problem in market environment
    Eremeev A.V.
    Journal of Applied and Industrial Mathematics, 2017, 11 (4) : 500 - 505
  • [30] Performance and computational complexity optimization in configurable hybrid video coding system
    Kwon, DN
    Driessen, PF
    Basso, A
    Agathoklis, P
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2006, 16 (01) : 31 - 42