# tokio-rs/tokio-uring

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1,474 stars · 164 forks · Rust · MIT

## Links

- GitHub: https://github.com/tokio-rs/tokio-uring
- awesome-repositories: https://awesome-repositories.com/repository/tokio-rs-tokio-uring.md

## Description

Tokio-uring is an asynchronous runtime for Rust that provides a framework for high-performance, non-blocking input and output operations. By integrating directly with the Linux kernel interface, it enables applications to offload heavy data transfer tasks to the operating system, maintaining responsiveness while managing concurrent tasks through a specialized asynchronous executor.

The framework distinguishes itself by utilizing kernel-level submission and completion queues to facilitate data transfers. It employs zero-copy techniques and pre-allocated memory buffer pools, which allow data to move between the kernel and application address spaces without redundant copying. By batching multiple requests into single kernel transitions, the library minimizes the overhead typically associated with frequent system calls.

Beyond its core execution model, the project provides comprehensive resource management for file handles and network connections. It includes utilities for byte stream processing and supports explicit operation cancellation to ensure that system resources are released safely and efficiently during high-throughput data operations.

## Tags

### Operating Systems & Systems Programming

- [io_uring Async IO](https://awesome-repositories.com/f/operating-systems-systems-programming/io-uring-async-io.md) — Provides high-performance asynchronous I/O by offloading data transfer tasks to the Linux kernel. ([source](https://github.com/tokio-rs/tokio-uring#readme))
- [High-Performance IO Drivers](https://awesome-repositories.com/f/operating-systems-systems-programming/high-performance-io-drivers.md) — Builds high-throughput applications by leveraging kernel-level I/O for maximum efficiency.
- [Subsystem 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/fixed-size-memory-pool-managers/fixed-pool-allocators/subsystem-memory-pools.md) — Registers memory pools with the operating system to support efficient, zero-copy data transfers. ([source](https://github.com/tokio-rs/tokio-uring/blob/master/DESIGN.md))

### Data & Databases

- [Kernel Ring Buffer Retrieval](https://awesome-repositories.com/f/data-databases/kernel-ring-buffer-retrieval.md) — Implements kernel-ring submission queues to pass I/O requests directly to the kernel, bypassing frequent system calls.
- [Zero-Copy Memory Mappings](https://awesome-repositories.com/f/data-databases/data-engineering-infrastructure/data-persistence-storage/data-storage-architectures/zero-copy-memory-mappings.md) — Maps application memory directly into the kernel address space to enable zero-copy data transfers.
- [Zero-Copy](https://awesome-repositories.com/f/data-databases/serialization-frameworks/zero-copy.md) — Manages memory buffer pools to facilitate zero-copy data processing between the kernel and application.

### Programming Languages & Runtimes

- [io_uring Async Runtimes](https://awesome-repositories.com/f/programming-languages-runtimes/io-uring-async-runtimes.md) — Provides an asynchronous runtime for Rust that leverages the Linux io_uring interface.

### Software Engineering & Architecture

- [Asynchronous Resource Management](https://awesome-repositories.com/f/software-engineering-architecture/asynchronous-resource-management.md) — Manages the lifecycle of file handles and network connections asynchronously to ensure safe resource release.
- [Fixed Memory Buffers](https://awesome-repositories.com/f/software-engineering-architecture/memory-buffering/fixed-memory-buffers.md) — Uses pre-allocated fixed memory buffers to minimize pinning overhead during high-throughput data transfers.
- [Asynchronous Task Executors](https://awesome-repositories.com/f/software-engineering-architecture/task-scheduling/asynchronous-schedulers/asynchronous-thread-schedulers/custom-thread-executors/asynchronous-task-executors.md) — Coordinates low-level kernel operations with an asynchronous executor to manage concurrent tasks efficiently.

### System Administration & Monitoring

- [Asynchronous Activity Completions](https://awesome-repositories.com/f/system-administration-monitoring/activity-monitors/asynchronous-activity-completions.md) — Provides asynchronous completion queue polling to handle I/O results without blocking execution threads.

### User Interface & Experience

- [Request Batching](https://awesome-repositories.com/f/user-interface-experience/rendering-optimizers/batch-renderers/request-batching.md) — Groups multiple I/O requests into single kernel transitions to maximize throughput and reduce system call overhead.