Limits to parallel computation : P-completeness theory

This book provides a comprehensive analysis of the most important topics in parallel computation.It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come.

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Hlavní autori: Greenlaw, Raymond, Hoover, H. James, Ruzzo, Walter L.
Médium: E-kniha Kniha
Jazyk:English
Vydavateľské údaje: New York Oxford University Press 1995
Oxford University Press, Incorporated
Vydanie:1
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ISBN:9780195085914, 0195085914
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Abstract This book provides a comprehensive analysis of the most important topics in parallel computation.It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come.
AbstractList This book provides a comprehensive analysis of the most important topics in parallel computation.It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come.
This volume provides an ideal introduction to key topics in parallel computing.With its cogent overview of the essentials of the subject as well as lists of P -complete- and open problems, extensive remarks corresponding to each problem, a thorough index, and extensive references, the book will prove invaluable to programmers stuck on problems that are particularly difficult to parallelize. In providing an up-to-date survey of parallel computing research from 1994, Topics in Parallel Computing will prove invaluable to researchers and professionals with aninterest in the super computers of the future.
Author Greenlaw, Raymond
Ruzzo, Walter L.
Hoover, H. James
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ISBN 9780195085914
0195085914
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Notes Includes index
Bibliography: p.255-284
OCLC 748537698
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Snippet This book provides a comprehensive analysis of the most important topics in parallel computation.It is written so that it may be used as a self-study guide to...
This volume provides an ideal introduction to key topics in parallel computing.With its cogent overview of the essentials of the subject as well as lists of P...
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Parallel processing (Electronic computers)
TableOfContents B.9 RNC -- C: Notation -- D: Complexity Classes -- D.1 Definitions -- D.2 Relationships Among Complexity Classes -- Bibliography -- Problem List -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z
Intro -- Contents -- Preface -- Part I: Background and Theory -- 1 Introduction -- 1.1 Bandersnatch Design -- 1.2 Informal Background -- 1.3 Some History -- 1.4 Related Works -- 1.5 Overview of This Book -- 2 Parallel Models of Computation -- 2.1 Introduction -- 2.2 The PRAM Model -- 2.3 The Boolean Circuit Model -- 2.4 Circuits and PRAMs -- 3 Complexity -- 3.1 Search and Decision Problems -- 3.2 Complexity Classes -- 3.3 Reducibility -- 3.4 Other NC Compatible Reducibilities -- 3.5 Completeness -- 4 Two Basic P-Complete Problems -- 4.1 The Generic P-Complete Problem -- 4.2 The Circuit Value Problem -- 5 Evidence That NC Does Not Equal P -- 5.1 Introduction -- 5.2 General Simulations Are Not Fast -- 5.3 Fast Simulations Are Not General -- 5.4 Natural Approaches Provably Fail -- 5.5 Summary -- 6 The Circuit Value Problem -- 6.1 The Circuit Value Problem Is P-Complete -- 6.2 Restricted Versions of Cimiit Value -- 7 Greedy Algorithms -- 7.1 Lexicographic Greedy Algorithms -- 7.2 Generic Greedy Algorithms -- 8 P-Complete Algorithms -- 8.1 Introduction -- 8.2 Inherently Sequential Algorithms -- 8.3 Applications of the Model -- 9 Two Other Notions of P-Completeness -- 9.1 Strong P-Completeness -- 9.2 Strict P-Completeness -- 10 Approximating P-Complete Problems -- 10.1 Introduction -- 10.2 Approximating LFMIS Is Hard -- 10.3 Approximation Schemes -- 11 Closing Remarks -- Part II: A Compendium of Problems -- A: P-Complete Problems -- A.1 Circuit Complexity -- A.2 Graph Theory -- A.3 Searching Graphs -- A.4 Combinatorial Optimization -- A.5 Local Optimality -- A.6 Logic -- A.7 Formal Languages -- A.8 Algebra -- A.9 Geometry -- A.10 Real Analysis -- A.11 Games -- A.12 Miscellaneous -- B: Open Problems -- B.1 Graph Theory -- B.2 Combinatorial Optimization -- B.3 Logic -- B.4 Formal Languages -- B.5 Algebra -- B.6 Geometry -- B.7 Real Analysis -- B.8 CC
Title Limits to parallel computation : P-completeness theory
URI https://cir.nii.ac.jp/crid/1130000798028176768
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