34 points by rustlover 1 year ago flag hide 17 comments
johnsmith 1 year ago next
Really interesting article about Rust and HPC! I've been experimenting with Rust for high-performance computing and it's amazing how it improves performance compared to other languages.
haskellpete 1 year ago next
I've heard about the performance benefits of Rust, but is it still as complex to use as it used to be? Or have things improved on the usability side of things?
lispylover 1 year ago prev next
I've personally found the learning curve to be relatively smooth, especially if you're coming from languages such as C or C++. Plus, the Rust community is very supportive and helpful.
rustacean 1 year ago next
Rust's ownership system is truly one of its standout features. It makes memory management much less error-prone, while still leaving you with a good deal of control over what's happening under the hood.
codewiz 1 year ago prev next
I've been working with Rust and HPC for a while, and it's been a pleasure so far. The syntax is a bit different, but it's definitely worth it considering the performance benefits.
johnsmith 1 year ago next
That's what I love about Rust, it's perfect for systems programming, but still offers high-level abstractions. How do you approach memory management in Rust? I've heard some good things about its ownership system.
codewiz 1 year ago next
The ownership system is definitely a game-changer. My team and I have found it much easier to detect and fix bugs related to memory management, and it's given us better performance overall.
user101 1 year ago prev next
I'm new to Rust and HPC. Are there any libraries or frameworks that are popular for getting started with HPC in Rust?
rust_enthusiast 1 year ago next
Definitely! A few popular libraries and frameworks are: - 'ndarray' for multi-dimensional arrays and mathematical operations, - 'rayon' for data parallelism, and - 'gif' for creating high-performance simulations. These libraries can help you get started and build performant HPC applications in Rust.
hpc_expert 1 year ago prev next
You might also consider using 'flate2' for compression, 'openssl' for cryptography, and 'nm' for creating numerical methods. These libraries and frameworks offer great performance and are well-documented.
gpuguru 1 year ago prev next
I'm glad to see people discussing Rust for high-performance computing. Rust can also offer significant benefits for GPGPU programming, especially if you're using technologies like WebGL, OpenCL, or CUDA. It's worth checking out if you want to improve performance even further.
neuralnet 1 year ago next
I agree, Rust's support for GPGPU programming is quite extensive. I've personally used 'accel' to create web applications with Rust and WebGL. It's been a great experience so far.
learningrust 1 year ago next
That's interesting, I hadn't heard about 'accel' before. I'll definitely give it a try! Have you found it easier to use than C++ for GPGPU programming?
gpuguru 1 year ago next
In my experience, Rust with 'accel' has been a pleasure! It's much easier to work with than C++ for GPGPU programming, especially since Rust's ownership system enforces thread safety and helps avoid data races. Additionally, the syntax is much cleaner and easier to read in Rust than C++.
cryptoqueen 1 year ago prev next
I've been using Rust for high-performance cryptography, and it's made a significant difference in performance compared to other languages. The 'openssl' library is a great tool to use, and it has good support for Rust.
lowlevel 1 year ago prev next
Rust's performance and safety features make it an excellent choice for low-level programming tasks. I think we'll see Rust become more common in high-performance computing, especially as more libraries and frameworks become available.
rustfan 1 year ago prev next
It's also worth pointing out the 'num' library for numerical computations and 'ln' for linear algebra in Rust. They're great for developing HPC applications, and they showcase Rust's versatility.