Skip to content
/ jace Public

JaCe - JAX Just-In-Time compilation using DaCe (Data Centric Parallel Programming)

License

Notifications You must be signed in to change notification settings

GridTools/jace

Folders and files

NameName
Last commit message
Last commit date
May 8, 2024
Apr 18, 2024
May 27, 2024
May 27, 2024
Apr 18, 2024
Apr 18, 2024
Apr 18, 2024
Apr 23, 2024
Apr 18, 2024
Apr 18, 2024
Apr 18, 2024
Apr 18, 2024
Apr 19, 2024
Apr 19, 2024
Apr 18, 2024
Apr 18, 2024
Apr 18, 2024
May 13, 2024
Apr 18, 2024
May 16, 2024
Apr 18, 2024

Repository files navigation

JaCe - JAX Just-In-Time compilation using DaCe (Data Centric Parallel Programming)

JAX: High-Performance Array Computing

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

DaCe: Data-Centric Parallel Programming

The DaCe project aims to build new representations for programs and algorithms, in order to efficiently map them to the entire hardware architecture landscape (CPU, GPU, and FPGA) with high utilization. With data-centric parallel programming, we enable direct knowledge transfer of performance optimization, regardless of the scientific application or the target processor.

Actions Status Documentation Status

PyPI version Conda-Forge PyPI platforms

GitHub Discussion

About

JaCe - JAX Just-In-Time compilation using DaCe (Data Centric Parallel Programming)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages