Xolky
Solve linear systems using sparse Cholesky decomposition with cuDSS in Jax within jitted functions.
Install / Use
/learn @pedrozudo/XolkyREADME
xolky (/ˈʃɔl.ki/)
Solve linear systems using sparse Cholesky decomposition with cuDSS in Jax within jitted functions.
Installation
First, install CuDSS (https://developer.nvidia.com/cudss-downloads) and then you can install xolky.
pip install git+ssh://git@github.com/pedrozudo/xolky.git
Examples
Go to the examples directory 🙂
What is Supported?
Operating System
- ✅ Linux
- ❌ Windows
- ❌ macOS
Which Higher Order Functions?
- ✅ jit
- ❌ grad
- ❌ vmap
- ❌ pmap
What Part of the cuDSS API?
- ✅ solving sparse positive definite linear systems
- ❌ all the rest
Precision?
- ✅ fp32 (uses fp64 on the cuDSS side)
- ✅ fp64
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