F. THOMSON LEIGHTON INTRODUCTION TO PARALLEL ALGORITHMS AND ARCHITECTURES: ARRAYS TREES HYPERCUBES
|
|
- Dorcas Daniels
- 5 years ago
- Views:
Transcription
1 F. THOMSON LEIGHTON INTRODUCTION TO PARALLEL ALGORITHMS AND ARCHITECTURES: ARRAYS TREES HYPERCUBES MORGAN KAUFMANN PUBLISHERS SAN MATEO, CALIFORNIA
2 Contents Preface Organization of the Material Teaching from the Text Exercises and Bibliographic Notes Errors Preview of Volume II Acknowledgments Notation ix x xi xii xiii xiv xv xix 1 ARRAYS AND TREES Elementary Sorting and Counting Sorting on a Linear Array 5 Assessing the Performance of the Algorithm... 7 Sorting N Numbers with Fewer Than N Processors Sorting in the Bit Model Lower Bounds A Counterexample Counting Properties of the Fixed-Connection Network Model Integer Arithmetic Carry-Lookahead Addition Prefix Computations 37 Segmented Prefix Computations Carry-Save Addition 44
3 1.2.4 Multiplication and Convolution Division and Newton Iteration * Matrix Algorithms Elementary Matrix Products Algorithms for Triangular Matrices Algorithms for Tridiagonal Matrices * 72 Odd-Even Reduction 72 Parallel Prefix Algorithms Gaussian Elimination Iterative Methods * 92 Jacobi Relaxation 93 Gauss-Seidel Relaxation 95 Finite Difference Methods 97 Multigrid Methods Retiming and Systolic Conversion A Motivating Example Palindrome Recognition The Systolic and Semisystolic Models of Computation Retiming Semisystolic Networks Conversion of a Semisystolic Network into a Systolic Network The Special Case of Broadcasting Retiming the Host Design by Systolic Conversion A Summary Graph Algorithms Transitive Closure Connected Components Shortest Paths Breadth-First Spanning Trees Minimum-Weight Spanning Trees Sorting Revisited Odd-Even Transposition Sort on a Linear Array A Simple y/n(log N + 1)-Step Sorting Algorithm A (3v^V + o(v / ]V r ))-Step Sorting Algorithm * A Matching Lower Bound 151
4 iii 1.7 Packet Routing Greedy Algorithms Average-Case Analysis of Greedy Algorithms Routing N Packets to Random Destinations Analysis of Dynamic Routing Problems Randomized Routing Algorithms Deterministic Algorithms with Small Queues An Off-line Algorithm Other Routing Models and Algorithms Image Analysis and Computational Geometry Component-Labelling Algorithms 201 Levialdi's Algorithm * 202 An 0(-//V)-Step Recursive Algorithm Computing Hough Transforms Nearest-Neighbor Algorithms Finding Convex Hulls * Higher-Dimensional Arrays Definitions and Properties Matrix Multiplication Sorting Packet Routing Simulating High-Dimensional Arrays on Low-Dimensional Arrays Problems Bibliographic Notes MESHES OF TREES The Two-Dimensional Mesh of Trees Definition and Properties Recursive Decomposition Derivation from K N<N Variations Comparison With the Pyramid and Multigrid Elementary О (log AT)-Step Algorithms Routing Sorting 289 ч
5 2.2.3 Matrix-Vector Multiplication Jacobi Relaxation Pivoting Convolution Convex Hull* Integer Arithmetic Multiplication Division and Chinese Remaindering Related Problems 306 Iterated Products 306 Root Finding Matrix Algorithms The Three-Dimensional Mesh of Trees Matrix Multiplication Inverting Lower Triangular Matrices Inverting Arbitrary Matrices * 316 Csanky's Algorithm 316 Inversion by Newton Iteration Related Problems Graph Algorithms Minimum-Weight Spanning Trees * Connected Components Transitive Closure Shortest Paths Matching Problems * Fast Evaluation of Straight-Line Code Addition and Multiplication Over a Semiring Extension to Codes with Subtraction and Division Applications Higher-Dimensional Meshes of Trees Definitions and Properties The Shuffle-Tree Graph Problems Bibliographic Notes 386
6 3 HYPERCUBES AND RELATED NETWORKS The Hypercube Definitions and Properties Containment of Arrays 396 Higher-Dimensional Arrays 399 Non-Power-of-2 Arrays Containment of Complete Binary Trees Embeddings of Arbitrary Binary Trees * 410 Embeddings with Dilation 1 and Load 0(f + logiv) 412 Embeddings with Dilation O(l) and LoadO(f+ 1) 416 A Review of One-Error-Correcting Codes * Embedding P\ 0e N into H iogn Containment of Meshes of Trees Other Containment Results The Butterfly, Cube-Connected-Cycles, and Benes Network Definitions and Properties Simulation of Arbitrary Networks * Simulation of Normal Hypercube Algorithms * Some Containment and Simulation Results The Shuffle-Exchange and de Bruijn Graphs Definitions and Properties The Diaconis Card Tricks Simulation of Normal Hypercube Algorithms Similarities with the Butterfly * * Some Containment and Simulation Results Packet-Routing Algorithms Definitions and Routing Models Greedy Routing Algorithms and Worst-Case Problems 515 A General Lower Bound for Oblivious Routing * Packing, Spreading, and Monotone Routing Problems 524 i
7 Reducing a Many-to-Many Routing Problem to a Many-to-One Routing Problem 536 Reducing a Routing Problem to a Sorting Problem The Average-Case Behavior of the Greedy Algorithm 539 Bounds on Congestion 542 Bounds on Running Time 547 Analyzing Non-Predictive Contention-Resolution Protocols Converting Worst-Case Routing Problems into Average-Case Routing Problems 561 Hashing 562 Randomized Routing Bounding Queue Sizes 571 Routing on Arbitrary Levelled Networks Routing with Combining The Information Dispersal Approach to Routing Using Information Dispersal to Attain Fault-Tolerance 604 Finite Fields and Coding Theory Circuit-Switching Algorithms Sorting Odd-Even Merge Sort 622 Constructing a Sorting Circuit with Depth logiv(logiv + l)/ Sorting Small Sets * A Deterministic 0(logiVloglog./V)-Step Sorting Algorithm Randomized 0(logiV)-Step Sorting Algorithms *. 657 A Circuit with Depth 7.45 log N that Usually Sorts Simulating a Parallel Random Access Machine PRAM Models and Shared Memories Randomized Simulations Based on Hashing Deterministic Simulations Using Replicated Data Using Information Dispersal to Improve Performance 709
8 3.7 The Fast Fourier Transform The Algorithm Implementation on the Butterfly and Shuffle-Exchange Graph Application to Convolution and Polynomial Arithmetic Application to Integer Multiplication Other Hypercubic Networks Butterflylike Networks 730 The Omega Network 730 The Flip Network 732 The Baseline and Reverse Baseline Networks Banyan and Delta Networks 736 k-ary Butterflies De Bruijn-Type Networks 739 The fc-ary de Bruijn Graph 741 The Generalized Shuffle-Exchange Graph Problems Bibliographic Notes 777 BIBLIOGRAPHY 785 INDEX 803 Lemmas, Theorems, and Corollaries 804 Author Index 807 Subject Index 811 4
Contents. Preface xvii Acknowledgments. CHAPTER 1 Introduction to Parallel Computing 1. CHAPTER 2 Parallel Programming Platforms 11
Preface xvii Acknowledgments xix CHAPTER 1 Introduction to Parallel Computing 1 1.1 Motivating Parallelism 2 1.1.1 The Computational Power Argument from Transistors to FLOPS 2 1.1.2 The Memory/Disk Speed
More informationThomas H. Cormen Charles E. Leiserson Ronald L. Rivest. Introduction to Algorithms
Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Introduction to Algorithms Preface xiii 1 Introduction 1 1.1 Algorithms 1 1.2 Analyzing algorithms 6 1.3 Designing algorithms 1 1 1.4 Summary 1 6
More information4.1.2 Merge Sort Sorting Lower Bound Counting Sort Sorting in Practice Solving Problems by Sorting...
Contents 1 Introduction... 1 1.1 What is Competitive Programming?... 1 1.1.1 Programming Contests.... 2 1.1.2 Tips for Practicing.... 3 1.2 About This Book... 3 1.3 CSES Problem Set... 5 1.4 Other Resources...
More informationTHE DESIGN AND ANALYSIS OF COMPUTER ALGORITHMS
2008 AGI-Information Management Consultants May be used for personal purporses only or by libraries associated to dandelon.com network. THE DESIGN AND ANALYSIS OF COMPUTER ALGORITHMS Alfred V. Aho Bell
More informationThe Algorithm Design Manual
Steven S. Skiena The Algorithm Design Manual With 72 Figures Includes CD-ROM THE ELECTRONIC LIBRARY OF SCIENCE Contents Preface vii I TECHNIQUES 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 2 2.1 2.2 2.3
More informationContents. I The Basic Framework for Stationary Problems 1
page v Preface xiii I The Basic Framework for Stationary Problems 1 1 Some model PDEs 3 1.1 Laplace s equation; elliptic BVPs... 3 1.1.1 Physical experiments modeled by Laplace s equation... 5 1.2 Other
More informationAbout the Author. Dependency Chart. Chapter 1: Logic and Sets 1. Chapter 2: Relations and Functions, Boolean Algebra, and Circuit Design
Preface About the Author Dependency Chart xiii xix xxi Chapter 1: Logic and Sets 1 1.1: Logical Operators: Statements and Truth Values, Negations, Conjunctions, and Disjunctions, Truth Tables, Conditional
More informationThe Spectral Relation between the Cube-Connected Cycles and the Shuffle-Exchange Network
The Spectral Relation between the Cube-Connected Cycles and the Shuffle-Exchange Network Christian Riess 1 Rolf Wanka 2 Volker Strehl 3 February 29, 2012 1 Pattern Recognition Lab (CS 5) 2 Hardware-Software
More informationFundamentals of. Parallel Computing. Sanjay Razdan. Alpha Science International Ltd. Oxford, U.K.
Fundamentals of Parallel Computing Sanjay Razdan Alpha Science International Ltd. Oxford, U.K. CONTENTS Preface Acknowledgements vii ix 1. Introduction to Parallel Computing 1.1-1.37 1.1 Parallel Computing
More informationIntroduction to Algorithms Third Edition
Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein Introduction to Algorithms Third Edition The MIT Press Cambridge, Massachusetts London, England Preface xiü I Foundations Introduction
More informationDiscrete Mathematics SECOND EDITION OXFORD UNIVERSITY PRESS. Norman L. Biggs. Professor of Mathematics London School of Economics University of London
Discrete Mathematics SECOND EDITION Norman L. Biggs Professor of Mathematics London School of Economics University of London OXFORD UNIVERSITY PRESS Contents PART I FOUNDATIONS Statements and proofs. 1
More informationTable of Contents. Chapter 1: Introduction to Data Structures... 1
Table of Contents Chapter 1: Introduction to Data Structures... 1 1.1 Data Types in C++... 2 Integer Types... 2 Character Types... 3 Floating-point Types... 3 Variables Names... 4 1.2 Arrays... 4 Extraction
More informationContents. 1 Introduction. 2 Searching and Traversal Techniques. Preface... (vii) Acknowledgements... (ix)
Contents Preface... (vii) Acknowledgements... (ix) 1 Introduction 1.1 Algorithm 1 1.2 Life Cycle of Design and Analysis of Algorithm 2 1.3 Pseudo-Code for Expressing Algorithms 5 1.4 Recursive Algorithms
More informationSDSU CS 662 Theory of Parallel Algorithms Networks part 2
SDSU CS 662 Theory of Parallel Algorithms Networks part 2 ---------- [To Lecture Notes Index] San Diego State University -- This page last updated April 16, 1996 Contents of Networks part 2 Lecture 1.
More informationData Communication and Parallel Computing on Twisted Hypercubes
Data Communication and Parallel Computing on Twisted Hypercubes E. Abuelrub, Department of Computer Science, Zarqa Private University, Jordan Abstract- Massively parallel distributed-memory architectures
More informationPart III. Mesh-Based Architectures. Winter 2016 Parallel Processing, Mesh-Based Architectures Slide 1
Part III Mesh-Based Architectures Winter 26 Parallel Processing, Mesh-Based Architectures Slide About This Presentation This presentation is intended to support the use of the textbook Introduction to
More informationTopological Structure and Analysis of Interconnection Networks
Topological Structure and Analysis of Interconnection Networks Network Theory and Applications Volume 7 Managing Editors: Ding-Zhu Du, University of Minnesota, U.S.A. and Cauligi Raghavendra, University
More informationGEOMETRIC TOOLS FOR COMPUTER GRAPHICS
GEOMETRIC TOOLS FOR COMPUTER GRAPHICS PHILIP J. SCHNEIDER DAVID H. EBERLY MORGAN KAUFMANN PUBLISHERS A N I M P R I N T O F E L S E V I E R S C I E N C E A M S T E R D A M B O S T O N L O N D O N N E W
More informationCS521 \ Notes for the Final Exam
CS521 \ Notes for final exam 1 Ariel Stolerman Asymptotic Notations: CS521 \ Notes for the Final Exam Notation Definition Limit Big-O ( ) Small-o ( ) Big- ( ) Small- ( ) Big- ( ) Notes: ( ) ( ) ( ) ( )
More informationContents. I Basics 1. Copyright by SIAM. Unauthorized reproduction of this article is prohibited.
page v Preface xiii I Basics 1 1 Optimization Models 3 1.1 Introduction... 3 1.2 Optimization: An Informal Introduction... 4 1.3 Linear Equations... 7 1.4 Linear Optimization... 10 Exercises... 12 1.5
More informationMATHEMATICAL STRUCTURES FOR COMPUTER SCIENCE
MATHEMATICAL STRUCTURES FOR COMPUTER SCIENCE A Modern Approach to Discrete Mathematics SIXTH EDITION Judith L. Gersting University of Hawaii at Hilo W. H. Freeman and Company New York Preface Note to the
More informationLARGE SCALE LINEAR AND INTEGER OPTIMIZATION: A UNIFIED APPROACH
LARGE SCALE LINEAR AND INTEGER OPTIMIZATION: A UNIFIED APPROACH Richard Kipp Martin Graduate School of Business University of Chicago % Kluwer Academic Publishers Boston/Dordrecht/London CONTENTS Preface
More informationWelcome to the course Algorithm Design
Welcome to the course Algorithm Design Summer Term 2011 Friedhelm Meyer auf der Heide Lecture 13, 15.7.2011 Friedhelm Meyer auf der Heide 1 Topics - Divide & conquer - Dynamic programming - Greedy Algorithms
More informationIntroductory Combinatorics
Introductory Combinatorics Third Edition KENNETH P. BOGART Dartmouth College,. " A Harcourt Science and Technology Company San Diego San Francisco New York Boston London Toronto Sydney Tokyo xm CONTENTS
More informationDirect Routing: Algorithms and Complexity
Direct Routing: Algorithms and Complexity Costas Busch, RPI Malik Magdon-Ismail, RPI Marios Mavronicolas, Univ. Cyprus Paul Spirakis, Univ. Patras 1 Outline 1. Direct Routing. 2. Direct Routing is Hard.
More informationDISCRETE MATHEMATICS
DISCRETE MATHEMATICS WITH APPLICATIONS THIRD EDITION SUSANNA S. EPP DePaul University THOIVISON * BROOKS/COLE Australia Canada Mexico Singapore Spain United Kingdom United States CONTENTS Chapter 1 The
More informationCLASSIC DATA STRUCTURES IN JAVA
CLASSIC DATA STRUCTURES IN JAVA Timothy Budd Oregon State University Boston San Francisco New York London Toronto Sydney Tokyo Singapore Madrid Mexico City Munich Paris Cape Town Hong Kong Montreal CONTENTS
More informationComputational Discrete Mathematics
Computational Discrete Mathematics Combinatorics and Graph Theory with Mathematica SRIRAM PEMMARAJU The University of Iowa STEVEN SKIENA SUNY at Stony Brook CAMBRIDGE UNIVERSITY PRESS Table of Contents
More informationFundamentals of Digital Image Processing
\L\.6 Gw.i Fundamentals of Digital Image Processing A Practical Approach with Examples in Matlab Chris Solomon School of Physical Sciences, University of Kent, Canterbury, UK Toby Breckon School of Engineering,
More informationContents. Preface. About the Authors BASIC TECHNIQUES CHAPTER 1 PARALLEL COMPUTERS. l. 1 The Demand for Computational Speed 3
Preface About the Authors PARTI BASIC TECHNIQUES CHAPTER 1 PARALLEL COMPUTERS l. 1 The Demand for Computational Speed 3 1.2 Potential for Increased Computational Speed 6 Speedup Factor 6 What Is the Maximum
More informationCOMPUTER AND ROBOT VISION
VOLUME COMPUTER AND ROBOT VISION Robert M. Haralick University of Washington Linda G. Shapiro University of Washington A^ ADDISON-WESLEY PUBLISHING COMPANY Reading, Massachusetts Menlo Park, California
More informationENGINEERING PROBLEM SOLVING WITH C++
ENGINEERING PROBLEM SOLVING WITH C++ Second Edition Delores M. Etter Electrical Engineering Department United States Naval Academy Jeanine A. Ingber Training Consultant Sandia National Laboratories Upper
More informationLectures 8/9. 1 Overview. 2 Prelude:Routing on the Grid. 3 A couple of networks.
U.C. Berkeley CS273: Parallel and Distributed Theory Lectures 8/9 Professor Satish Rao September 23,2010 Lecturer: Satish Rao Last revised October 23, 2010 Lectures 8/9 1 Overview We will give a couple
More informationInterconnection networks
Interconnection networks When more than one processor needs to access a memory structure, interconnection networks are needed to route data from processors to memories (concurrent access to a shared memory
More informationLOGIC SYNTHESIS AND VERIFICATION ALGORITHMS. Gary D. Hachtel University of Colorado. Fabio Somenzi University of Colorado.
LOGIC SYNTHESIS AND VERIFICATION ALGORITHMS by Gary D. Hachtel University of Colorado Fabio Somenzi University of Colorado Springer Contents I Introduction 1 1 Introduction 5 1.1 VLSI: Opportunity and
More informationr=1 The Binomial Theorem. 4 MA095/98G Revision
Revision Read through the whole course once Make summary sheets of important definitions and results, you can use the following pages as a start and fill in more yourself Do all assignments again Do the
More informationParallel Implementations of Gaussian Elimination
s of Western Michigan University vasilije.perovic@wmich.edu January 27, 2012 CS 6260: in Parallel Linear systems of equations General form of a linear system of equations is given by a 11 x 1 + + a 1n
More informationChapter 1 Introduction
Preface xv Chapter 1 Introduction 1.1 What's the Book About? 1 1.2 Mathematics Review 2 1.2.1 Exponents 3 1.2.2 Logarithms 3 1.2.3 Series 4 1.2.4 Modular Arithmetic 5 1.2.5 The P Word 6 1.3 A Brief Introduction
More informationDavid G. Luenberger Yinyu Ye. Linear and Nonlinear. Programming. Fourth Edition. ö Springer
David G. Luenberger Yinyu Ye Linear and Nonlinear Programming Fourth Edition ö Springer Contents 1 Introduction 1 1.1 Optimization 1 1.2 Types of Problems 2 1.3 Size of Problems 5 1.4 Iterative Algorithms
More informationHypercubes. (Chapter Nine)
Hypercubes (Chapter Nine) Mesh Shortcomings: Due to its simplicity and regular structure, the mesh is attractive, both theoretically and practically. A problem with the mesh is that movement of data is
More informationCS256 Applied Theory of Computation
CS256 Applied Theory of Computation Parallel Computation II John E Savage Overview Mesh-based architectures Hypercubes Embedding meshes in hypercubes Normal algorithms on hypercubes Summing and broadcasting
More informationFundamentals of Discrete Mathematical Structures
Fundamentals of Discrete Mathematical Structures THIRD EDITION K.R. Chowdhary Campus Director JIET School of Engineering and Technology for Girls Jodhpur Delhi-110092 2015 FUNDAMENTALS OF DISCRETE MATHEMATICAL
More informationWITH C+ + William Ford University of the Pacific. William Topp University of the Pacific. Prentice Hall, Englewood Cliffs, New Jersey 07632
DATA STRUCTURES WITH C+ + William Ford University of the Pacific William Topp University of the Pacific Prentice Hall, Englewood Cliffs, New Jersey 07632 CONTENTS Preface xvii CHAPTER 1 INTRODUCTION 1
More informationCOMPUTER AIDED GEOMETRIC DESIGN. Thomas W. Sederberg
COMPUTER AIDED GEOMETRIC DESIGN Thomas W. Sederberg January 31, 2011 ii T. W. Sederberg iii Preface This semester is the 24 th time I have taught a course at Brigham Young University titled, Computer Aided
More informationApplied Combinatorics
Applied Combinatorics SECOND EDITION FRED S. ROBERTS BARRY TESMAN LßP) CRC Press VV^ J Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group an informa
More informationHeuristic Search. Theory and Applications. Stefan Edelkamp. Stefan Schrodl ELSEVIER. Morgan Kaufmann is an imprint of Elsevier HEIDELBERG LONDON
Heuristic Search Theory and Applications Stefan Edelkamp Stefan Schrodl AMSTERDAM BOSTON HEIDELBERG LONDON ELSEVIER NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY» TOKYO Morgan Kaufmann
More informationLecture 3: Sorting 1
Lecture 3: Sorting 1 Sorting Arranging an unordered collection of elements into monotonically increasing (or decreasing) order. S = a sequence of n elements in arbitrary order After sorting:
More informationCOURSE: DATA STRUCTURES USING C & C++ CODE: 05BMCAR17161 CREDITS: 05
COURSE: DATA STRUCTURES USING C & C++ CODE: 05BMCAR17161 CREDITS: 05 Unit 1 : LINEAR DATA STRUCTURES Introduction - Abstract Data Types (ADT), Arrays and its representation Structures, Stack, Queue, Circular
More informationInterconnection topologies (cont.) [ ] In meshes and hypercubes, the average distance increases with the dth root of N.
Interconnection topologies (cont.) [ 10.4.4] In meshes and hypercubes, the average distance increases with the dth root of N. In a tree, the average distance grows only logarithmically. A simple tree structure,
More informationStructured Parallel Programming Patterns for Efficient Computation
Structured Parallel Programming Patterns for Efficient Computation Michael McCool Arch D. Robison James Reinders ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO
More informationDESIGN AND ANALYSIS OF ALGORITHMS
DESIGN AND ANALYSIS OF ALGORITHMS QUESTION BANK Module 1 OBJECTIVE: Algorithms play the central role in both the science and the practice of computing. There are compelling reasons to study algorithms.
More informationIntroduction to Parallel Computing
Introduction to Parallel Computing George Karypis Sorting Outline Background Sorting Networks Quicksort Bucket-Sort & Sample-Sort Background Input Specification Each processor has n/p elements A ordering
More informationJörgen Bang-Jensen and Gregory Gutin. Digraphs. Theory, Algorithms and Applications. Springer
Jörgen Bang-Jensen and Gregory Gutin Digraphs Theory, Algorithms and Applications Springer Contents 1. Basic Terminology, Notation and Results 1 1.1 Sets, Subsets, Matrices and Vectors 1 1.2 Digraphs,
More informationCSCE 321/3201 Analysis and Design of Algorithms. Prof. Amr Goneid. Fall 2016
CSCE 321/3201 Analysis and Design of Algorithms Prof. Amr Goneid Fall 2016 CSCE 321/3201 Analysis and Design of Algorithms Prof. Amr Goneid Course Resources Instructor: Prof. Amr Goneid E-mail: goneid@aucegypt.edu
More informationIntroduction p. 1 Pseudocode p. 2 Algorithm Header p. 2 Purpose, Conditions, and Return p. 3 Statement Numbers p. 4 Variables p. 4 Algorithm Analysis
Introduction p. 1 Pseudocode p. 2 Algorithm Header p. 2 Purpose, Conditions, and Return p. 3 Statement Numbers p. 4 Variables p. 4 Algorithm Analysis p. 5 Statement Constructs p. 5 Pseudocode Example p.
More informationCS 498 Hot Topics in High Performance Computing. Networks and Fault Tolerance. 9. Routing and Flow Control
CS 498 Hot Topics in High Performance Computing Networks and Fault Tolerance 9. Routing and Flow Control Intro What did we learn in the last lecture Topology metrics Including minimum diameter of directed
More informationPerformance Level Descriptors. Mathematics
Performance Level Descriptors Grade 3 Well Students rarely, Understand that our number system is based on combinations of 1s, 10s, and 100s (place value, compare, order, decompose, and combine using addition)
More informationAnalysis of Algorithms
Second Edition Design and Analysis of Algorithms Prabhakar Gupta Vineet Agarwal Manish Varshney Design and Analysis of ALGORITHMS SECOND EDITION PRABHAKAR GUPTA Professor, Computer Science and Engineering
More informationPreface... (vii) CHAPTER 1 INTRODUCTION TO COMPUTERS
Contents Preface... (vii) CHAPTER 1 INTRODUCTION TO COMPUTERS 1.1. INTRODUCTION TO COMPUTERS... 1 1.2. HISTORY OF C & C++... 3 1.3. DESIGN, DEVELOPMENT AND EXECUTION OF A PROGRAM... 3 1.4 TESTING OF PROGRAMS...
More informationCS 614 COMPUTER ARCHITECTURE II FALL 2005
CS 614 COMPUTER ARCHITECTURE II FALL 2005 DUE : November 23, 2005 HOMEWORK IV READ : i) Related portions of Chapters : 3, 10, 15, 17 and 18 of the Sima book and ii) Chapter 8 of the Hennessy book. ASSIGNMENT:
More informationINDEX. Cambridge University Press How to Think About Algorithms Jeff Edmonds Index More information
INDEX 439 abstract data type (ADT), 1, 43 exercise solutions, 414 functions vs., 43 merging with queue, 56 specifications/implementations, 44 dictionary, 47 graphs, 47 link list implementation, 51 list,
More informationProbabilistic Robotics
Probabilistic Robotics Sebastian Thrun Wolfram Burgard Dieter Fox The MIT Press Cambridge, Massachusetts London, England Preface xvii Acknowledgments xix I Basics 1 1 Introduction 3 1.1 Uncertainty in
More informationDETERMINISTIC OPERATIONS RESEARCH
DETERMINISTIC OPERATIONS RESEARCH Models and Methods in Optimization Linear DAVID J. RADER, JR. Rose-Hulman Institute of Technology Department of Mathematics Terre Haute, IN WILEY A JOHN WILEY & SONS,
More informationEfficient Bufferless Packet Switching on Trees and Leveled Networks
Efficient Bufferless Packet Switching on Trees and Leveled Networks Costas Busch Malik Magdon-Ismail Marios Mavronicolas Abstract In bufferless networks the packets cannot be buffered while they are in
More informationF# for Scientists. Jon Harrop Flying Frog Consultancy Ltd. Foreword by Don Syme A JOHN WILEY & SONS, INC., PUBLICATION WILEY
F# for Scientists Jon Harrop Flying Frog Consultancy Ltd. Foreword by Don Syme WILEY A JOHN WILEY & SONS, INC., PUBLICATION Preface Acknowledgments List of Figi ares List of Tables Acronyms 1 Introduction
More informationCS 6143 COMPUTER ARCHITECTURE II SPRING 2014
CS 6143 COMPUTER ARCHITECTURE II SPRING 2014 DUE : April 9, 2014 HOMEWORK IV READ : - Related portions of Chapter 5 and Appendces F and I of the Hennessy book - Related portions of Chapter 1, 4 and 6 of
More informationDATA STRUCTURES THROUGH C++
II Year I Semester DATA STRUCTURES THROUGH C++ L T P C 4 0 0 3 OBJECTIVES: To be familiar with basic techniques of object oriented principles and exception handling using C++ To be familiar with the concepts
More informationLecture 8 Parallel Algorithms II
Lecture 8 Parallel Algorithms II Dr. Wilson Rivera ICOM 6025: High Performance Computing Electrical and Computer Engineering Department University of Puerto Rico Original slides from Introduction to Parallel
More informationHigh-Performance Parallel Database Processing and Grid Databases
High-Performance Parallel Database Processing and Grid Databases David Taniar Monash University, Australia Clement H.C. Leung Hong Kong Baptist University and Victoria University, Australia Wenny Rahayu
More informationFast Hierarchical Clustering via Dynamic Closest Pairs
Fast Hierarchical Clustering via Dynamic Closest Pairs David Eppstein Dept. Information and Computer Science Univ. of California, Irvine http://www.ics.uci.edu/ eppstein/ 1 My Interest In Clustering What
More informationAlgorithms and Applications
Algorithms and Applications 1 Areas done in textbook: Sorting Algorithms Numerical Algorithms Image Processing Searching and Optimization 2 Chapter 10 Sorting Algorithms - rearranging a list of numbers
More informationDepartment of Computer Applications. MCA 312: Design and Analysis of Algorithms. [Part I : Medium Answer Type Questions] UNIT I
MCA 312: Design and Analysis of Algorithms [Part I : Medium Answer Type Questions] UNIT I 1) What is an Algorithm? What is the need to study Algorithms? 2) Define: a) Time Efficiency b) Space Efficiency
More informationElements of Graph Theory
Elements of Graph Theory Quick review of Chapters 9.1 9.5, 9.7 (studied in Mt1348/2008) = all basic concepts must be known New topics we will mostly skip shortest paths (Chapter 9.6), as that was covered
More informationComputation with No Memory, and Rearrangeable Multicast Networks
Discrete Mathematics and Theoretical Computer Science DMTCS vol. 16:1, 2014, 121 142 Computation with No Memory, and Rearrangeable Multicast Networks Serge Burckel 1 Emeric Gioan 2 Emmanuel Thomé 3 1 ERMIT,
More informationComputer Programming C++ (wg) CCOs
Computer Programming C++ (wg) CCOs I. The student will analyze the different systems, and languages of the computer. (SM 1.4, 3.1, 3.4, 3.6) II. The student will write, compile, link and run a simple C++
More informationPart I Basic Concepts 1
Introduction xiii Part I Basic Concepts 1 Chapter 1 Integer Arithmetic 3 1.1 Example Program 3 1.2 Computer Program 4 1.3 Documentation 5 1.4 Input 6 1.5 Assignment Statement 7 1.5.1 Basics of assignment
More informationCONTENTS. PART 1 Structured Programming 1. 1 Getting started 3. 2 Basic programming elements 17
List of Programs xxv List of Figures xxix List of Tables xxxiii Preface to second version xxxv PART 1 Structured Programming 1 1 Getting started 3 1.1 Programming 3 1.2 Editing source code 5 Source code
More informationCpt S 223 Course Overview. Cpt S 223, Fall 2007 Copyright: Washington State University
Cpt S 223 Course Overview 1 Course Goals Learn about new/advanced data structures Be able to make design choices on the suitable data structure for different application/problem needs Analyze (objectively)
More informationAlgorithms and Data Structures
Algorithm Analysis Page 1 - Algorithm Analysis Dr. Fall 2008 Algorithm Analysis Page 2 Outline Textbook Overview Analysis of Algorithm Pseudo-Code and Primitive Operations Growth Rate and Big-Oh Notation
More informationStructured Parallel Programming
Structured Parallel Programming Patterns for Efficient Computation Michael McCool Arch D. Robison James Reinders ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO
More informationParallel Systems Course: Chapter VIII. Sorting Algorithms. Kumar Chapter 9. Jan Lemeire ETRO Dept. November Parallel Sorting
Parallel Systems Course: Chapter VIII Sorting Algorithms Kumar Chapter 9 Jan Lemeire ETRO Dept. November 2014 Overview 1. Parallel sort distributed memory 2. Parallel sort shared memory 3. Sorting Networks
More informationInterconnection Networks. Issues for Networks
Interconnection Networks Communications Among Processors Chris Nevison, Colgate University Issues for Networks Total Bandwidth amount of data which can be moved from somewhere to somewhere per unit time
More informationTOPOLOGICAL ALGEBRAS SELECTED TOPICS
TOPOLOGICAL ALGEBRAS SELECTED TOPICS Anastasios MALLIOS Mathematical Institute University ofathens Greece 1986 NORTH-HOLLAND-AMSTERDAM NEW YORK»OXFORD»TOKYO xiii Contents Preface ix PART I. GENERAL THEORY
More informationx = 12 x = 12 1x = 16
2.2 - The Inverse of a Matrix We've seen how to add matrices, multiply them by scalars, subtract them, and multiply one matrix by another. The question naturally arises: Can we divide one matrix by another?
More informationCurves and Fractal Dimension
Claude Tricot Curves and Fractal Dimension With a Foreword by Michel Mendes France With 163 Illustrations Springer-Verlag New York Berlin Heidelberg London Paris Tokyo Hong Kong Barcelona Budapest Contents
More informationCourse Name: B.Tech. 3 th Sem. No of hours allotted to complete the syllabi: 44 Hours No of hours allotted per week: 3 Hours. Planned.
Course Name: B.Tech. 3 th Sem. Subject: Data Structures No of hours allotted to complete the syllabi: 44 Hours No of hours allotted per week: 3 Hours Paper Code: ETCS-209 Topic Details No of Hours Planned
More informationINTRODUCTION TO LINEAR AND NONLINEAR PROGRAMMING
INTRODUCTION TO LINEAR AND NONLINEAR PROGRAMMING DAVID G. LUENBERGER Stanford University TT ADDISON-WESLEY PUBLISHING COMPANY Reading, Massachusetts Menlo Park, California London Don Mills, Ontario CONTENTS
More informationContents. Chapter 1 SPECIFYING SYNTAX 1
Contents Chapter 1 SPECIFYING SYNTAX 1 1.1 GRAMMARS AND BNF 2 Context-Free Grammars 4 Context-Sensitive Grammars 8 Exercises 8 1.2 THE PROGRAMMING LANGUAGE WREN 10 Ambiguity 12 Context Constraints in Wren
More informationDigital Image Processing
Digital Image Processing Third Edition Rafael C. Gonzalez University of Tennessee Richard E. Woods MedData Interactive PEARSON Prentice Hall Pearson Education International Contents Preface xv Acknowledgments
More informationEE/CSCI 451: Parallel and Distributed Computation
EE/CSCI 451: Parallel and Distributed Computation Lecture #11 2/21/2017 Xuehai Qian Xuehai.qian@usc.edu http://alchem.usc.edu/portal/xuehaiq.html University of Southern California 1 Outline Midterm 1:
More information2. True or false: even though BFS and DFS have the same space complexity, they do not always have the same worst case asymptotic time complexity.
1. T F: Consider a directed graph G = (V, E) and a vertex s V. Suppose that for all v V, there exists a directed path in G from s to v. Suppose that a DFS is run on G, starting from s. Then, true or false:
More informationAnany Levitin 3RD EDITION. Arup Kumar Bhattacharjee. mmmmm Analysis of Algorithms. Soumen Mukherjee. Introduction to TllG DCSISFI &
Introduction to TllG DCSISFI & mmmmm Analysis of Algorithms 3RD EDITION Anany Levitin Villa nova University International Edition contributions by Soumen Mukherjee RCC Institute of Information Technology
More informationCS-6402 DESIGN AND ANALYSIS OF ALGORITHMS
CS-6402 DESIGN AND ANALYSIS OF ALGORITHMS 2 marks UNIT-I 1. Define Algorithm. An algorithm is a sequence of unambiguous instructions for solving a problem in a finite amount of time. 2.Write a short note
More informationDYNAMIC MEMORY ALLOCATION AND DEALLOCATION
COURSE TITLE DATA STRUCTURE DETAILED SYLLABUS SR.NO NAME OF CHAPTERS & DETAILS HOURS ALLOTTED 1 USER DEFINED DATATYPE /STRUCTURE About structure Defining structure Accessing structure element Array of
More informationData Structures and Algorithms
Berner Fachhochschule - Technik und Informatik Data Structures and Algorithms Topic 1: Algorithm Analysis Philipp Locher FS 2018 Outline Course and Textbook Overview Analysis of Algorithm Pseudo-Code and
More informationUML CS Algorithms Qualifying Exam Spring, 2004 ALGORITHMS QUALIFYING EXAM
NAME: This exam is open: - books - notes and closed: - neighbors - calculators ALGORITHMS QUALIFYING EXAM The upper bound on exam time is 3 hours. Please put all your work on the exam paper. (Partial credit
More informationParallel Systems Course: Chapter VIII. Sorting Algorithms. Kumar Chapter 9. Jan Lemeire ETRO Dept. Fall Parallel Sorting
Parallel Systems Course: Chapter VIII Sorting Algorithms Kumar Chapter 9 Jan Lemeire ETRO Dept. Fall 2017 Overview 1. Parallel sort distributed memory 2. Parallel sort shared memory 3. Sorting Networks
More informationDijkstra s Algorithm Last time we saw two methods to solve the all-pairs shortest path problem: Min-plus matrix powering in O(n 3 log n) time and the
Dijkstra s Algorithm Last time we saw two methods to solve the all-pairs shortest path problem: Min-plus matrix powering in O(n 3 log n) time and the Floyd-Warshall algorithm in O(n 3 ) time. Neither of
More informationGeometric Algebra for Computer Graphics
John Vince Geometric Algebra for Computer Graphics 4u Springer Contents Preface vii 1 Introduction 1 1.1 Aims and objectives of this book 1 1.2 Mathematics for CGI software 1 1.3 The book's structure 2
More informationSHARED MEMORY VS DISTRIBUTED MEMORY
OVERVIEW Important Processor Organizations 3 SHARED MEMORY VS DISTRIBUTED MEMORY Classical parallel algorithms were discussed using the shared memory paradigm. In shared memory parallel platform processors
More information