Modeling combinational circuits using linear word-level structures

被引:0
|
作者
Popel, DV [1 ]
Yanushkevich, SN [1 ]
机构
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
关键词
Logic Function; Arithmetic Operation; Processing Strategy; Logic Operation; Linear Structure;
D O I
10.1023/B:AURC.0000030911.02374.62
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In many applications of circuit design and synthesis, it is natural and in some instances essential to manipulate logic functions and model circuits using word-level representations and arithmetic operations in contrast to bit-level representations and logic operations. This paper reviews linear word-level structures and formulates their properties for combinational circuit modeling. The paper addresses the following problem: given a library of gates with their corresponding word-level representations such as linear arithmetic expressions or respective graph structures, find a word-level model of an arbitrary combinational circuit/netlist using that library of gates and minimizing memory allocation and time delay requirements. We present a comprehensive study on linearization assuming various circuit processing strategies. In particular, we develop a new approach to manipulate linear word-level representations by means of cascades. The practical applicability of linear structures and developed algorithms is strengthen by considering the problem of timing analysis. All this is supported by the experimental study on benchmark circuits.
引用
收藏
页码:1018 / 1032
页数:15
相关论文
共 50 条
  • [21] HDL constructs in linear word-level decision diagram based specification
    Wahid, K
    Lu, DC
    Rahman, C
    AUTOMATION AND REMOTE CONTROL, 2004, 65 (06) : 913 - 919
  • [22] HDL Constructs in Linear Word-Level Decision Diagram Based Specification
    K. Wahid
    D. C. Lu
    C. Rahman
    Automation and Remote Control, 2004, 65 : 913 - 919
  • [23] Word-level morphology: A psycholinguistic perspective on linear formation in Hebrew nominals
    Ravid, Dorit
    MORPHOLOGY, 2006, 16 (01) : 127 - 148
  • [24] Word-Level Emotion Recognition Using High-Level Features
    Moore, Johanna D.
    Tian, Leimin
    Lai, Catherine
    COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2014, PART II, 2014, 8404 : 17 - 31
  • [26] Transition-Based Neural Word Segmentation Using Word-Level Features
    Zhang, Meishan
    Zhang, Yue
    Fu, Guohong
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2018, 63 : 923 - 953
  • [27] Equivalence Verification of Large Galois Field Arithmetic Circuits using Word-Level Abstraction via Grobner Bases
    Pruss, Tim
    Kalla, Priyank
    Enescu, Florian
    2014 51ST ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2014,
  • [28] Is Word-Level Recursion Actually Recursion?
    Miller, Taylor L.
    Sande, Hannah
    LANGUAGES, 2021, 6 (02)
  • [29] Lifting propositional interpolants to the word-level
    Kroening, Daniel
    Weissenbacher, Georg
    FMCAD 2007: FORMAL METHODS IN COMPUTER AIDED DESIGN, PROCEEDINGS, 2007, : 85 - 89
  • [30] Detection of Malicious PowerShell Using Word-Level Language Models
    Tajiri, Yui
    Mimura, Mamoru
    ADVANCES IN INFORMATION AND COMPUTER SECURITY (IWSEC 2020), 2020, 12231 : 39 - 56