orchespy 0.1.0b1

Device-independent library for NumPy programs

OrchesPy: Device-independent library for NumPy program on heterogeneous system

OrchesPy is a library for NumPy programs to execute part of the program on accelerators by decorating functions.

Prerequisites

Using OrchesPy requires the following packages.

• Python 3: tested with Python 3.8.
• NumPy 1.20: since CuPy and NLCPy require numpy>=1.17 and NLCPy requires numpy<1.21.
• To run programs on VE, install NLCPy >= 2.0.1 and its dependencies such as veoffload.
• To run programs on CUDA GPU, install CuPy and its dependencies such as CUDA toolkit working with your GPU.

To build OrchesPy, see also the section "Install from source".

Installation

You can install OrchesPy from PyPI or from source.

Install from PyPI

Execute the following command.

$ pip install orchespy

Install from source

To build OrchesPy, install CUDA toolkit and veoffload (VEO) for CuPy and NLCPy. Download the source tree from GitHub.

$ git clone https://github.com/SX-Aurora/orchespy.git

Execute the following command.

$ cd orchespy
$ pip install .

PIP will install dependencies automatically, and build and install OrchesPy on your environment.

Documentation

• OrchesPy User's Guide

License

The BSD-3-Clause license (see LICENSE file).