C++

Table of Contents Introduction What Is Dispenso? Why Choose Dispenso Over Other Thread Pools? Core Concepts and Architecture 4.1 Task Representation 4.2 Worker Threads and Queues 4.3 Work Stealing Mechanics Getting Started: Building and Integrating Dispenso Basic Usage Patterns 6.1 Submitting Simple Tasks 6.2 Futures and Continuations 6.3 Parallel Loops with parallel_for Advanced Techniques 7.1 Task Dependencies with when_all and when_any 7.2 Custom Allocators and Memory Management 7.3 Thread‑Local Storage & Affinity 7.4 Integrating with Existing Codebases (e.g., OpenCV, Eigen) Performance Benchmarking 8.1 Micro‑benchmarks: Overhead vs. Raw Threads 8.2 Real‑World Scenario: Image Processing Pipeline Best Practices and Common Pitfalls Conclusion Resources Introduction Parallel programming in modern C++ has evolved dramatically since the introduction of the <thread> library in C++11. While the standard library provides low‑level primitives, most production‑grade applications need higher‑level abstractions that can efficiently schedule work across many cores, handle task dependencies, and minimize overhead. This is where Dispenso shines. ...