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Xolky

Solve linear systems using sparse Cholesky decomposition with cuDSS in Jax within jitted functions.

Install / Use

/learn @pedrozudo/Xolky
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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

Related Skills

View on GitHub
GitHub Stars4
CategoryDevelopment
Updated1mo ago
Forks0

Languages

C++

Security Score

85/100

Audited on Feb 28, 2026

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