progschj/ThreadPool
ThreadPool
ThreadPool is a C++ thread management library designed to execute asynchronous tasks using a fixed number of background worker threads. It functions as a concurrent task executor that reduces the overhead associated with the repeated creation and destruction of threads.
The library utilizes a synchronized queue to distribute workloads across multiple CPU cores and employs variadic templates to accept any callable function with arbitrary arguments.
The system manages concurrency through mutex-protected shared state and condition-variable signaling to wake idle threads. It also provides a mechanism for result retrieval by wrapping asynchronous task returns in future objects.
This project is implemented using standard C++11 threading primitives.
Features
- C++ Task Engines - Provides a high-performance C++ framework for executing asynchronous tasks concurrently without the cost of thread churn.
- Local - Implements a synchronized queue to distribute pending functions to worker threads in the order they were received.
- C++ Thread Resource Management - Implements a reusable pool of threads to handle background processing efficiently within a C++11 environment.
- Thread Pools - Provides a fixed-size pool of worker threads to eliminate the overhead of repeated thread creation and destruction.
- C++ Thread Management Utilities - Provides a lightweight utility for queuing and distributing work across a fixed number of background threads.
- Asynchronous Task Execution - Enables the concurrent execution of multiple asynchronous tasks using a managed background worker pool.
- Concurrent Task Runners - Acts as a concurrent task runner that manages multiple asynchronous operations using standard C++11 threading primitives.
- Worker-Level Concurrency Control - Manages a fixed set of worker threads to process a large queue of tasks without exhausting system resources.
- Parallel Workload Distribution - Distributes independent units of work across multiple CPU cores to maximize program throughput.
- Mutual Exclusion Locks - Uses mutual exclusion locks to protect the shared task queue from data races during concurrent access.
- Condition Variables - Implements condition variables to signal idle worker threads when new tasks are available in the queue.
- Future-Based Concurrency Frameworks - Wraps asynchronous task returns in future objects, allowing callers to retrieve results once processing is complete.
- Concurrency and Parallelism - Simple C++11 thread pool implementation.
