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
收藏
页数:31
相关论文
共 50 条
  • [1] Computational complexity and approximability of social welfare optimization in multiagent resource allocation
    Nhan-Tam Nguyen
    Trung Thanh Nguyen
    Roos, Magnus
    Rothe, Joerg
    [J]. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2014, 28 (02) : 256 - 289
  • [2] Computational complexity and approximability of social welfare optimization in multiagent resource allocation
    Nhan-Tam Nguyen
    Trung Thanh Nguyen
    Magnus Roos
    Jörg Rothe
    [J]. Autonomous Agents and Multi-Agent Systems, 2014, 28 : 256 - 289
  • [3] The computational complexity and approximability of a series of geometric covering problems
    Khachai, M. Yu.
    Poberii, M. I.
    [J]. PROCEEDINGS OF THE STEKLOV INSTITUTE OF MATHEMATICS, 2013, 283 : 64 - 77
  • [4] The computational complexity and approximability of a series of geometric covering problems
    M. Yu. Khachai
    M. I. Poberii
    [J]. Proceedings of the Steklov Institute of Mathematics, 2013, 283 : 64 - 77
  • [5] The computational complexity and approximability of a series of geometric covering problems
    Khachai, M. Yu.
    Poberii, M. I.
    [J]. TRUDY INSTITUTA MATEMATIKI I MEKHANIKI URO RAN, 2012, 18 (03): : 247 - 260
  • [6] Computational complexity and approximability of combinatorial optimization problems connected with committee polyhedral separability of finite sets
    Khachay, Mikhail Yu.
    Pobery, Maria I.
    [J]. 20TH INTERNATIONAL CONFERENCE, EURO MINI CONFERENCE CONTINUOUS OPTIMIZATION AND KNOWLEDGE-BASED TECHNOLOGIES, EUROPT'2008, 2008, : 42 - 47
  • [7] Complexity and in-approximability of a selection problem in robust optimization
    Vladimir G. Deineko
    Gerhard J. Woeginger
    [J]. 4OR, 2013, 11 : 249 - 252
  • [8] Complexity and in-approximability of a selection problem in robust optimization
    Deineko, Vladimir G.
    Woeginger, Gerhard J.
    [J]. 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2013, 11 (03): : 249 - 252
  • [9] Minimum Hitting Set of Interval Bundles Problem: Computational Complexity and Approximability
    Marinus Gottschau
    Marilena Leichter
    [J]. Algorithmica, 2022, 84 : 2222 - 2239
  • [10] Minimum Hitting Set of Interval Bundles Problem: Computational Complexity and Approximability
    Gottschau, Marinus
    Leichter, Marilena
    [J]. ALGORITHMICA, 2022, 84 (08) : 2222 - 2239