NVIDIA cuPyNumeric

cuPyNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for NumPy built on top of the Legate framework.

With cuPyNumeric you can write code productively in Python, using the familiar NumPy API, and have your program scale with no code changes from single-CPU computers to multi-node-multi-GPU clusters.

For example, you can run the final example of the Python CFD course completely unmodified on 2048 A100 GPUs in a DGX SuperPOD and achieve good weak scaling.

Contents:

• Installation
• User guide
• Examples
• API Reference
• Frequently Asked Questions
• Developer guide

Indices and tables

• Index

• Search Page