Parallel algorithms / Henri Casanova, Arnaud Legrand, Yves Robert

"A Chapman & Hall book."

Includes bibliographical references (pages 323-332) and index.

Preface Models PRAM Model Pointer Jumping Performance Evaluation of PRAM Algorithms Comparison of PRAM Models Sorting Machine Relevance of the PRAM Model Sorting Networks Odd-Even Merge Sort Sorting on a One-Dimensional Network Networking Interconnection Networks Communication Model Case Study: The Unidirectional Ring Case Study: The Hypercube Peer-to-Peer Computing Parallel Algorithms Algorithms on a Ring of Processors Matrix-Vector Multiplication Matrix-Matrix Multiplication A First Look at Stencil Applications LU Factorization A Second Look at Stencil Applications Implementing Logical Topologies Distributed vs. Centralized Implementations Summary of Algorithmic Principles Algorithms on Grids of Processors Logical Two-Dimensional Grid Topologies Communication on a Grid of Processors Matrix Multiplication on a Grid of Processors Two-Dimensional Block Cyclic Data Distribution Load Balancing on Heterogeneous Platforms Load Balancing for One-Dimensional Data Distributions Load Balancing for Two-Dimensional Data Distributions Free Two-Dimensional Partitioning on a Heterogeneous Grid Scheduling Scheduling Introduction Scheduling Task Graphs Solving Pb(â ) Solving Pb(p) Taking Communication Costs into Account Pb(â ) with Communications List Heuristics for Pb(p) with Communications Extension to Heterogeneous Platforms Advanced Scheduling Divisible Load Scheduling Steady-State Scheduling Workflow Scheduling Hyperplane Scheduling (or Scheduling at Compile-Time) Bibliography Index Exercises and Answers appear at the end of each chapter.

Focusing on algorithms for distributed-memory parallel architectures, this book covers theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling.

CSE