Communication Complexity and Parallel Computing

1. Front Matter

   Pages i-x

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2. Introduction

   • Juraj Hromkovič

   Pages 1-6

3. Communication Protocol Models

   • Juraj Hromkovič

   Pages 7-149

4. Boolean Circuits

   • Juraj Hromkovič

   Pages 151-240

5. VLSI Circuits and Interconnection Networks

   • Juraj Hromkovič

   Pages 241-281

6. Sequential Computations

   • Juraj Hromkovič

   Pages 283-315

7. Back Matter

   Pages 317-339

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The communication complexity of two-party protocols is an only 15 years old complexity measure, but it is already considered to be one of the fundamen­ tal complexity measures of recent complexity theory. Similarly to Kolmogorov complexity in the theory of sequential computations, communication complex­ ity is used as a method for the study of the complexity of concrete computing problems in parallel information processing. Especially, it is applied to prove lower bounds that say what computer resources (time, hardware, memory size) are necessary to compute the given task. Besides the estimation of the compu­ tational difficulty of computing problems the proved lower bounds are useful for proving the optimality of algorithms that are already designed. In some cases the knowledge about the communication complexity of a given problem may be even helpful in searching for efficient algorithms to this problem. The study of communication complexity becomes a well-defined indepen­ dent area of complexity theory. In addition to a strong relation to several funda­ mental complexity measures (and so to several fundamental problems of com­ plexity theory) communication complexity has contributed to the study and to the understanding of the nature of determinism, nondeterminism, and random­ ness in algorithmics. There already exists a non-trivial mathematical machinery to handle the communication complexity of concrete computing problems, which gives a hope that the approach based on communication complexity will be in­ strumental in the study of several central open problems of recent complexity theory.

• Boolean circuits
• Boolean functions
• Formale Sprachen
• Heuristics
• Kommunikationskomplexität
• Parallele Berechnungen
• Randomized and Approximation Algorithms
• VLSI
• VLSI-Schaltkreise
• algorithms
• comm
• communication
• complexity
• information

• Institut für Informatik und Praktische Mathematik, Universität Kiel, Kiel, Germany

  Juraj Hromkovič

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