# cameron314/concurrentqueue **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/cameron314-concurrentqueue).** 12,070 stars · 1,898 forks · C++ · other ## Links - GitHub: https://github.com/cameron314/concurrentqueue - awesome-repositories: https://awesome-repositories.com/repository/cameron314-concurrentqueue.md ## Description ConcurrentQueue is a header-only C++ template library that provides a lock-free data structure for multi-producer multi-consumer thread communication. It functions as a synchronization primitive designed to coordinate data flow between concurrent execution units using atomic operations rather than traditional mutex locking. The library distinguishes itself through a design that minimizes contention and synchronization overhead. It utilizes sub-queue token mapping to distribute workloads across partitioned internal queues and supports bulk operations to transfer multiple data elements in single atomic steps. To maintain consistent performance, the structure employs memory preallocation during initialization, which prevents runtime latency associated with dynamic heap allocation. The project covers a broad range of capabilities for managing concurrent data pipelines and multi-threaded task scheduling. It includes mechanisms for thread suspension that conserve system resources by waiting for data availability, alongside strategies to optimize cache line usage and reduce resource competition in high-volume environments. ## Tags ### Operating Systems & Systems Programming - [Concurrent Queues](https://awesome-repositories.com/f/operating-systems-systems-programming/kernel-core-internals/process-and-memory-management/memory-management/buffer-and-cache-management/binary-buffer-managers/trace-buffer-managers/lock-free-buffers/concurrent-queues.md) — A high-performance data structure for multi-producer multi-consumer thread communication without the overhead of manual mutex locking. - [Low-Latency Concurrency Patterns](https://awesome-repositories.com/f/operating-systems-systems-programming/kernel-core-internals/process-and-memory-management/memory-management/allocation-strategies/memory-allocation-libraries/low-level-system-operations/low-level-systems-programming/low-latency-concurrency-patterns.md) — Optimizing resource usage and processing speed in performance-critical applications by preallocating memory and reducing contention between active threads. - [Preallocation Strategies](https://awesome-repositories.com/f/operating-systems-systems-programming/kernel-core-internals/process-and-memory-management/memory-management/allocation-strategies/dynamic-memory-allocation/custom-memory-allocators/preallocation-strategies.md) — Reserve memory blocks during the initialization phase to ensure that data insertion operations proceed immediately without waiting for the system to allocate new memory at runtime. ([source](https://github.com/cameron314/concurrentqueue#readme)) - [Preallocated Memory Pools](https://awesome-repositories.com/f/operating-systems-systems-programming/kernel-core-internals/process-and-memory-management/memory-management/allocation-strategies/dynamic-memory-allocation/custom-memory-allocators/preallocated-memory-pools.md) — Preallocates contiguous memory segments during initialization to prevent runtime latency caused by dynamic heap allocation during queue operations. ### Software Engineering & Architecture - [Lock-Free Concurrent Queues](https://awesome-repositories.com/f/software-engineering-architecture/producer-consumer-workflow-managers/lock-free-concurrent-queues.md) — Supports concurrent access from multiple threads by utilizing thread-safe data structures that manage simultaneous read and write operations efficiently. - [Atomic State Synchronization](https://awesome-repositories.com/f/software-engineering-architecture/atomic-state-synchronization.md) — Uses atomic memory operations to coordinate data access between threads without relying on heavy mutex locks or blocking primitives. - [Producer-Consumer Workflow Managers](https://awesome-repositories.com/f/software-engineering-architecture/producer-consumer-workflow-managers.md) — Coordinating complex data flows between producers and consumers by managing high-volume item exchange with minimal synchronization overhead. - [Partitioned](https://awesome-repositories.com/f/software-engineering-architecture/queues/partitioned.md) — Assigns unique identifiers to threads to distribute workload across partitioned internal queues, minimizing contention and cache line bouncing. - [Blocking Synchronization](https://awesome-repositories.com/f/software-engineering-architecture/producer-consumer-workflow-managers/blocking-synchronization.md) — Suspend consumer threads until new items arrive in the queue to ensure efficient resource usage while waiting for incoming data from producers. ([source](https://github.com/cameron314/concurrentqueue#readme)) ### Development Tools & Productivity - [Thread-Safe Communication Channels](https://awesome-repositories.com/f/development-tools-productivity/thread-managers/thread-safe-communication-channels.md) — Transferring data between multiple threads efficiently using lock-free structures to avoid the performance bottlenecks of traditional mutex locking. - [Lock-Free Thread Communication](https://awesome-repositories.com/f/development-tools-productivity/thread-managers/lock-free-thread-communication.md) — Transfer items between threads using a lock-free mechanism that eliminates the need for manual synchronization or complex mutex management during concurrent operations. ([source](https://github.com/cameron314/concurrentqueue/blob/master/samples.md)) ### Programming Languages & Runtimes - [Synchronization Primitives](https://awesome-repositories.com/f/programming-languages-runtimes/language-features-paradigms/concurrency-models/concurrency/synchronization-primitives.md) — A mechanism for coordinating data flow between concurrent execution units using atomic operations and memory preallocation strategies. - [Task Schedulers](https://awesome-repositories.com/f/programming-languages-runtimes/language-features-paradigms/concurrency-models/concurrency/task-orchestration-frameworks/task-schedulers.md) — Distributing workloads across multiple processing threads by using dedicated sub-queues to ensure smooth execution and high throughput for concurrent tasks. - [Condition Variables](https://awesome-repositories.com/f/programming-languages-runtimes/language-features-paradigms/concurrency-models/concurrency/task-orchestration-frameworks/thread-pools/condition-variables.md) — Suspends consumer threads using signaling mechanisms that wake them only when new data is available to conserve system resources. ### Artificial Intelligence & ML - [Thread Contention Optimizers](https://awesome-repositories.com/f/artificial-intelligence-ml/token-optimization-strategies/thread-contention-optimizers.md) — Assign specific tokens to threads to map them to dedicated sub-queues, reducing resource competition and increasing processing speed during high-volume data operations. ([source](https://github.com/cameron314/concurrentqueue#readme)) ### Data & Databases - [Bulk Data Transfer Utilities](https://awesome-repositories.com/f/data-databases/batch-processing/bulk-data-transfer-utilities.md) — Enables the transfer of multiple data elements in a single atomic operation to reduce the overhead of synchronization and memory barriers. - [Concurrent Data Pipelines](https://awesome-repositories.com/f/data-databases/shared-memory-data-exchange/concurrent-data-pipelines.md) — Manage high-performance data exchange between multiple producers and consumers by using a lock-free queue structure that removes the requirement for manual locking. ([source](https://github.com/cameron314/concurrentqueue#readme)) - [Atomic Batch Operations](https://awesome-repositories.com/f/data-databases/bulk-data-operations/atomic-batch-operations.md) — Enqueue or dequeue multiple data points in a single operation to minimize synchronization overhead and increase overall throughput during large data transfers. ([source](https://github.com/cameron314/concurrentqueue#readme)) - [Header-only Libraries](https://awesome-repositories.com/f/data-databases/data-processing-pipelines/data-serialization/json-libraries/c/header-only-libraries.md) — A header-only collection of thread-safe containers designed for low-latency data exchange in multi-threaded applications. ### Part of an Awesome List - [Data Structures](https://awesome-repositories.com/f/awesome-lists/data/data-structures.md) — Lock-free multi-producer multi-consumer queue. - [Concurrency and Parallelism](https://awesome-repositories.com/f/awesome-lists/devtools/concurrency-and-parallelism.md) — Fast multi-producer multi-consumer lock-free queue. - [Concurrency Libraries](https://awesome-repositories.com/f/awesome-lists/devtools/concurrency-libraries.md) — Lock-free multi-producer multi-consumer queue for C++11. - [Data Structures](https://awesome-repositories.com/f/awesome-lists/devtools/data-structures.md) — Lock-free multi-producer multi-consumer queue.