Intel Threading Building Blocks

31.07.2007

Englisch

Englisch

9780596514808, 9780596514808

O'Reilly and Associates

Nein

James Reinders

332

1

Broschiert

Outfitting C++ for Multi-core Processor Parallelism

Multicore, dual-core, parallelism, multithreading, threads

Inhaltsverzeichnis Foreword Note from the Lead Developer of Intel Threading Building Blocks Preface 1. Why Threading Building Blocks?      Overview      Benefits 2. Thinking Parallel      Elements of Thinking Parallel      Decomposition      Scaling and Speedup      What Is a Thread?      Mutual Exclusion and Locks      Correctness      Abstraction      Patterns      Intuition 3. Basic Algorithms      Initializing and Terminating the Library      Loop Parallelization      Recursive Range Specifications      Summary of Loops 4. Advanced Algorithms      Parallel Algorithms for Streams 5. Containers      concurrent_queue      concurrent_vector      concurrent_hash_map 6. Scalable Memory Allocation      Limitations      Problems in Memory Allocation      Memory Allocators      Replacing malloc, new, and delete 7. Mutual Exclusion      When to Use Mutual Exclusion      Mutexes      Mutexes      Atomic Operations 8. Timing 9. Task Scheduler      When Task-Based Programming Is Inappropriate      Much Better Than Raw Native Threads      Initializing the Library Is Your Job      Example Program for Fibonacci Numbers      Task Scheduling Overview      How Task Scheduling Works      Recommended Task Recurrence Patterns      Making Best Use of the Scheduler      Task Scheduler Interfaces      Task Scheduler Summary 10. Keys to Success      Key Steps to Success      Relaxed Sequential Execution      Safe Concurrency for Methods and Libraries      Debug Versus Release      For Efficiency's Sake      Enabling Debugging Features      Mixing with Other Threading Packages      Naming Conventions 11. Examples      The Aha! Factor      A Few Other Key Points      parallel_for Examples      The Game of Life      Parallel_reduce Examples      CountStrings: Using concurrent_hash_map      Quicksort: Visualizing Task Stealing      A Better Matrix Multiply (Strassen)      Advanced Task Programming      Packet Processing Pipeline      Memory Allocation      Game Threading Example      Physics Interaction and Update Code      Open Dynamics Engine 12. History and Related Projects      Libraries      Languages      Pragmas      Generic Programming      Caches      Costs of Time Slicing      Quick Introduction to Lambda Functions      Further Reading Index

233 mm