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A Guide to Forensic Testimony: The Art and Practice of Presenting Testimony As An Expert Technical Witness

A Guide to Forensic Testimony: The Art and Practice of Presenting Testimony As An Expert Technical Witness

Fred Chris Smith, Addison-Wesley Professional

ISBN:0201752794, Edition: , 2002-10-19

Price: $54.99

  • Main Page
  • Table of content
  • Copyright
  • Pearson Education
  • Preface
  • Acknowledgments
  • Chapter 1. Introduction to Parallel Computing
    • 1.1 Motivating Parallelism
    • 1.2 Scope of Parallel Computing
    • 1.3 Organization and Contents of the Text
    • 1.4 Bibliographic Remarks
    • Problems
  • Chapter 2. Parallel Programming Platforms
    • 2.1 Implicit Parallelism: Trends in Microprocessor Architectures*
    • 2.2 Limitations of Memory System Performance*
    • 2.3 Dichotomy of Parallel Computing Platforms
    • 2.4 Physical Organization of Parallel Platforms
    • 2.5 Communication Costs in Parallel Machines
    • 2.6 Routing Mechanisms for Interconnection Networks
    • 2.7 Impact of Process-Processor Mapping and Mapping Techniques
    • 2.8 Bibliographic Remarks
    • Problems
  • Chapter 3. Principles of Parallel Algorithm Design
    • 3.1 Preliminaries
    • 3.2 Decomposition Techniques
    • 3.3 Characteristics of Tasks and Interactions
    • 3.4 Mapping Techniques for Load Balancing
    • 3.5 Methods for Containing Interaction Overheads
    • 3.6 Parallel Algorithm Models
    • 3.7 Bibliographic Remarks
    • Problems
  • Chapter 4. Basic Communication Operations
    • 4.1 One-to-All Broadcast and All-to-One Reduction
    • 4.2 All-to-All Broadcast and Reduction
    • 4.3 All-Reduce and Prefix-Sum Operations
    • 4.4 Scatter and Gather
    • 4.5 All-to-All Personalized Communication
    • 4.6 Circular Shift
    • 4.7 Improving the Speed of Some Communication Operations
    • 4.8 Summary
    • 4.9 Bibliographic Remarks
    • Problems
  • Chapter 5. Analytical Modeling of Parallel Programs
    • 5.1 Sources of Overhead in Parallel Programs
    • 5.2 Performance Metrics for Parallel Systems
    • 5.3 The Effect of Granularity on Performance
    • 5.4 Scalability of Parallel Systems
    • 5.5 Minimum Execution Time and Minimum Cost-Optimal Execution Time
    • 5.6 Asymptotic Analysis of Parallel Programs
    • 5.7 Other Scalability Metrics
    • 5.8 Bibliographic Remarks
    • Problems
  • Chapter 6. Programming Using the Message-Passing Paradigm
    • 6.1 Principles of Message-Passing Programming
    • 6.2 The Building Blocks: Send and Receive Operations
    • 6.3 MPI: the Message Passing Interface
    • 6.4 Topologies and Embedding
    • 6.5 Overlapping Communication with Computation
    • 6.6 Collective Communication and Computation Operations
    • 6.7 Groups and Communicators
    • 6.8 Bibliographic Remarks
    • Problems
  • Chapter 7. Programming Shared Address Space Platforms
    • 7.1 Thread Basics
    • 7.2 Why Threads?
    • 7.3 The POSIX Thread API
    • 7.4 Thread Basics: Creation and Termination
    • 7.5 Synchronization Primitives in Pthreads
    • 7.6 Controlling Thread and Synchronization Attributes
    • 7.7 Thread Cancellation
    • 7.8 Composite Synchronization Constructs
    • 7.9 Tips for Designing Asynchronous Programs
    • 7.10 OpenMP: a Standard for Directive Based Parallel Programming
    • 7.11 Bibliographic Remarks
    • Problems
  • Chapter 8. Dense Matrix Algorithms
    • 8.1 Matrix-Vector Multiplication
    • 8.2 Matrix-Matrix Multiplication
    • 8.3 Solving a System of Linear Equations
    • 8.4 Bibliographic Remarks
    • Problems
  • Chapter 9. Sorting
    • 9.1 Issues in Sorting on Parallel Computers
    • 9.2 Sorting Networks
    • 9.3 Bubble Sort and its Variants
    • 9.4 Quicksort
    • 9.5 Bucket and Sample Sort
    • 9.6 Other Sorting Algorithms
    • 9.7 Bibliographic Remarks
    • Problems
  • Chapter 10. Graph Algorithms
    • 10.1 Definitions and Representation
    • 10.2 Minimum Spanning Tree: Prim's Algorithm
    • 10.3 Single-Source Shortest Paths: Dijkstra's Algorithm
    • 10.4 All-Pairs Shortest Paths
    • 10.5 Transitive Closure
    • 10.6 Connected Components
    • 10.7 Algorithms for Sparse Graphs
    • 10.8 Bibliographic Remarks
    • Problems
  • Chapter 11. Search Algorithms for Discrete Optimization Problems
    • 11.1 Definitions and Examples
    • 11.2 Sequential Search Algorithms
    • 11.3 Search Overhead Factor
    • 11.4 Parallel Depth-First Search
    • 11.5 Parallel Best-First Search
    • 11.6 Speedup Anomalies in Parallel Search Algorithms
    • 11.7 Bibliographic Remarks
    • Problems
  • Chapter 12. Dynamic Programming
    • 12.1 Overview of Dynamic Programming
    • 12.2 Serial Monadic DP Formulations
    • 12.3 Nonserial Monadic DP Formulations
    • 12.4 Serial Polyadic DP Formulations
    • 12.5 Nonserial Polyadic DP Formulations
    • 12.6 Summary and Discussion
    • 12.7 Bibliographic Remarks
    • Problems
  • Chapter 13. Fast Fourier Transform
    • 13.1 The Serial Algorithm
    • 13.2 The Binary-Exchange Algorithm
    • 13.3 The Transpose Algorithm
    • 13.4 Bibliographic Remarks
    • Problems
  • Appendix A. Complexity of Functions and Order Analysis
    • A.1 Complexity of Functions
    • A.2 Order Analysis of Functions
  • Bibliography