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Investigation of a New Compressed Representation of Boolean Functions

Investigation of a New Compressed Representation of Boolean Functions
布尔函数新压缩表示的研究
批准号:
9986308
负责人:
Thomas Reps
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2006-08-31

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中文摘要
翻译
CCR-9986308 代表,托马斯W。 威斯康星大学麦迪逊分校 一种新的布尔函数压缩表示的研究 拟议项目的目标是促进国家的发展, 通过研究符号模型检查的属性来进行符号模型检查的艺术 布尔函数的一种新的压缩表示,称为 CFLOBDD,它是现在标准的Ordered 二进制决策图(OBDDs)。 CFLOBDD共享许多 OBDDs的良好特性,但可能导致数据结构 体积小得多--比OBDD小得多, 事实 也就是说,OBDD是一种数据结构, 在这种情况下, 布尔函数的表示(即,较 函数的决策树的大小)。 相比之下,一 CFLOBDD --同样,在最好的情况下--产生双指数 布尔值表示法的大小的减小 功能 虽然不是每个布尔函数都有如此高的 压缩表示,该项目与看到多远,这 想法是可以推动的。 希望双指数压缩 是一种工具,它将(a)允许进行更多的核查, 更快,以及(B)允许攻击更大的验证问题 比以往任何时候都要多
英文摘要
CCR-9986308 Reps, Thomas W. University of Wisconsin-Madison Investigation of a New Compressed Representation of Boolean Functions The goal of the proposed project is to advance the state of the art in symbolic model checking by investigating the properties of a new compressed representation of Boolean functions, called CFLOBDDs, which are an alternative to the now-standard Ordered Binary Decision Diagrams (OBDDs). CFLOBDDs share many of the good properties of OBDDs, but can lead to data structures of drastically smaller size -- exponentially smaller than OBDDs, in fact. That is, an OBDD is a data structure that -- in the best case -- yields an exponential reduction in the size of the representation of a Boolean function (i.e., compared with the size of the decision tree for the function). In contrast, a CFLOBDD -- again, in the best case -- yields a doubly exponential reduction in the size of the representation of a Boolean function. Although not every Boolean function has such a highly compressed representation, the project with see how far this idea can be pushed. The hope is that doubly-exponential compression is a tool that would (a) permit verification to be performed much faster, and (b) allow much larger verification problems to be attacked than has heretofore been possible.
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Collaborative Research: SHF: Medium: Semantics-Aware Neural Models of Code
  • 批准号:
    2212558
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.92万
  • 财政年份:
    2022
  • 负责人:
    Thomas Reps
  • 依托单位:
SHF:Small: Crash Scene Investigation - Debugging Programs that Fail Unexpectedly
  • 批准号:
    1420866
  • 项目类别:
    Standard Grant
  • 资助金额:
    $47.78万
  • 财政年份:
    2014
  • 负责人:
    Thomas Reps
  • 依托单位:
SHF: Medium: MACANTOK -- a MAchine-Code-ANalysis TOol Kit -- and its Applications
  • 批准号:
    0904371
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2009
  • 负责人:
    Thomas Reps
  • 依托单位:
Advanced Methods for Performing Static Analysis of Machine Code
  • 批准号:
    0810053
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2008
  • 负责人:
    Thomas Reps
  • 依托单位:
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