Electrologica
Electrologica is a high-performance concurrent data structures crate for Rust, designed for scenarios where nanosecond-level latencies matter and contention in highly parallel systems is a concern.
Features
- AtomicSemaphore: An extremely low-latency semaphore optimized for high-contention scenarios, particularly useful in nested parallelism contexts.
- Designed to manage congestion in parallel data structure updates.
- Optimized for scenarios involving frequent updates to shared data structures.
Use Cases
Electrologica is particularly well-suited for:
- Nested parallelism scenarios where fine-grained concurrency control is needed
- Systems requiring congestion control in highly parallel data structure updates
Installation
Add this to your Cargo.toml:
[]
= "0.1.0"
Usage
AtomicSemaphore
use AtomicSemaphore;
let sem = new;
// Acquire a permit
if sem.acquire
// Use RAII guard
if let Some = sem.acquire_guard
Performance
The AtomicSemaphore is designed to provide extremely low latency in high-contention scenarios. It uses a combination
of atomic operations and optimized spinning strategies to minimize overhead and maximize throughput.
Benchmark results and comparisons with other synchronization primitives are available in the benches/ directory.
Contributing
We welcome contributions to Electrologica! Please feel free to submit issues, fork the repository and send pull requests.
To contribute:
- Fork the repository (https://github.com/warlock-labs/electrologica/fork)
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create a new Pull Request
License
This project is licensed under the Apache License, Version 2.0. See the LICENSE file for details.
Acknowledgments
Electrologica is inspired by the pioneering work in computer engineering by the Electrologica company, which produced the X1 computer in the 1950s. We aim to honor their legacy by pushing the boundaries of what's possible in modern, high-performance computing.
The development of this library has been influenced by research in network congestion control algorithms and optimized graph traversal techniques.