C++ is making me depressed / CUDA question

1. Rust-CUDA

   1 39 3,838 6.7 Rust

   Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

   

   And here's an example on how to add two floats using Rust-CUDA: https://github.com/Rust-GPU/Rust-CUDA/blob/master/examples/cuda/gpu/add_gpu/src/lib.rs

2. CodeRabbit

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3. toast

   2 4 44 0.0 C++

   Time Ordered Astrophysics Scalable Tools (by hpc4cmb)

   

   If you just want to do a matrix multiplication with CUDA (and not inside some CUDA code), you should use cuBLAS rather than CUTLASS (here is some wrapper code I wrote and the corresponding helper functions if your difficulty is using the library rather than linking it / building), it is a fairly straightforward BLAS replacement (it can be a pain to install but that is life with C++/nvidia).

4. jax

   3 88 31,692 10.0 Python

   Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

   

   If you just want to do some numerical code that requires linear algebra and GPU, your best bet would be Julia or Python+JAX.

5. spack

   4 55 4,589 10.0 Python

   A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

   

   Trilinos is a pain to install and get working, I recommend using Spack or a similar tool to deal with it.

6. nalgebra

   5 22 4,217 7.4 Rust

   Linear algebra library for Rust.

   

   If you do not need GPU then I would recommend looking into Eigen in C++, nalgebra in Rust (with a BLAS in both cases for improved performance) or one of the above options (Julia / Python+JAX).

7. CUDA.jl

   6 15 1,263 9.5 Julia

   CUDA programming in Julia.

   

   If you just want to do some numerical code that requires linear algebra and GPU, your best bet would be Julia or Python+JAX.

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