OpenBLAS is a high-performance linear algebra library that's implemented mainly with vector instruction directly written in assembly language.
The goal of the project is to learn more about the implementation and get familiar with the vector instructions.
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Hack Week 19
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RMT.rs: High-Performance Registration Path for RMT using Rust by gbasso
Description
The SUSE Repository Mirroring Tool (RMT) is a critical component for managing software updates and subscriptions, especially for our Public Cloud Team (PCT). In a cloud environment, hundreds or even thousands of new SUSE instances (VPS/EC2) can be provisioned simultaneously. Each new instance attempts to register against an RMT server, creating a "thundering herd" scenario.
We have observed that the current RMT server, written in Ruby, faces performance issues under this high-concurrency registration load. This can lead to request overhead, slow registration times, and outright registration failures, delaying the readiness of new cloud instances.
This Hackweek project aims to explore a solution by re-implementing the performance-critical registration path in Rust. The goal is to leverage Rust's high performance, memory safety, and first-class concurrency handling to create an alternative registration endpoint that is fast, reliable, and can gracefully manage massive, simultaneous request spikes.
The new Rust module will be integrated into the existing RMT Ruby application, allowing us to directly compare the performance of both implementations.
Goals
The primary objective is to build and benchmark a high-performance Rust-based alternative for the RMT server registration endpoint.
Key goals for the week:
- Analyze & Identify: Dive into the
SUSE/rmtRuby codebase to identify and map out the exact critical path for server registration (e.g., controllers, services, database interactions). - Develop in Rust: Implement a functionally equivalent version of this registration logic in Rust.
- Integrate: Explore and implement a method for Ruby/Rust integration to "hot-wire" the new Rust module into the RMT application. This may involve using FFI, or libraries like
rb-sysormagnus. - Benchmark: Create a benchmarking script (e.g., using
k6,ab, or a custom tool) that simulates the high-concurrency registration load from thousands of clients. - Compare & Present: Conduct a comparative performance analysis (requests per second, latency, success/error rates, CPU/memory usage) between the original Ruby path and the new Rust path. The deliverable will be this data and a summary of the findings.
Resources
- RMT Source Code (Ruby):
https://github.com/SUSE/rmt
- RMT Documentation:
https://documentation.suse.com/sles/15-SP7/html/SLES-all/book-rmt.html
- Tooling & Stacks:
- RMT/Ruby development environment (for running the base RMT)
- Rust development environment (
rustup,cargo)
- Potential Integration Libraries:
- rb-sys:
https://github.com/oxidize-rb/rb-sys - Magnus:
https://github.com/matsadler/magnus
- rb-sys:
- Benchmarking Tools:
k6(https://k6.io/)ab(ApacheBench)
toki pona programing language by dgarcia
Description
Toki Pona is a philosophical and artistic constructed language designed for its small vocabulary, simplicity, and ease of acquisition.
The idea is to bring the idea of simplicity to a new programing language using this language words and limitations to implement it.
The name for this programming language could be: "toki ilo" or "ilo pona". I will ask the community to get other ideas and also to get feedback about the initial design.
The idea is to start to implement something as a gcc frontend.
Goals
- The language design should be really simple but completely functional:
- functions
- variables
- conditional
- loop
- data structures
- The keywords should be from toki pona, and better if could be read as pseudo code in toki pona
- It should be possible to "compile" code written in sitelen pona
Resources
- https://en.wikipedia.org/wiki/Toki_Pona
- https://wasona.com/
- https://nimi.li/
- https://en.wikipedia.org/wiki/Sitelen_Pona
- GCC frontend tutorial