Tools for concurrent programming in Rust
- Updated
Jun 7, 2025 - Rust
Tools for concurrent programming in Rust
A very simple thread pool for parallel task execution
Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow
Sci-Fi galaxy simulation with heavy procedural generation focus
A simple thread pool for stateful parallel task execution
High-performance concurrency, synchronization, scheduling, and logging primitives.
🚀 Master Rust programming with this comprehensive roadmap! Explore fundamental and advanced concepts, code examples, and resources.
Neural network and matrix library with parallized learning build from the ground up. Educational project.
Toggle parallelism with feature flags!
RustyPBBS: a suite of parallel benchmarks in Rust
Parallel implementations of the Hooke-Jeeves optimization algorithm in Rust using multithreading, MPI-based multiprocessing and hybrid schemes.
Adaptive Rust pipeline for high-throughput file processing—dynamic chunking, parallelism, AES/ChaCha encryption, backpressure, and Prometheus/tracing.
Asynchronous Programming in Rust, published by Packt
Random Forest machine learning library written in Rust
Fractal renderer written in rust supporting multithreading, gpu compute and wasm
Attempt at recreating https://github.com/cpp-taskflow/cpp-taskflow in Rust
Rust work of various kinds
Rayon empowers developers to write highly efficient, data-parallel code while maintaining Rust's guarantees of memory safety and concurrency.
🚀 Master Rust programming with this comprehensive roadmap! Explore fundamental and advanced concepts, code examples, and resources.
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