NLCPy is a package for accelerating performance of Python scripts using NumPy on SX-Aurora TSUBASA.
Project description
NLCPy : NumPy-like API accelerated with SX-Aurora TSUBASA
NLCPy
is a library for accelerating performance of Python scripts using NumPy
on SX-Aurora TSUBASA. Python programmers can use this library on Linux/x86 of SX-Aurora TSUBASA. NLCPy's API is designed based on NumPy's one. The current version provides a subset of NumPy's API.
Requirements
Before the installation, the following components are required to be installed on your x86 Node of SX-Aurora TSUBASA.
-
- required NEC C/C++ compiler version: >= 3.4.0
- required NLC version: >= 2.3.0
-
Alternative VE Offloading (AVEO)
-
If you install NLCpy from wheel, the runtime packages of Alternative VE Offloading(AVEO) are required.
# yum install veoffload-aveo veoffload-aveorun
-
If you install NLCpy from source, the development packages of Alternative VE Offloading(AVEO) are required.
# yum install veoffload-aveo-devel veoffload-aveorun-devel
-
-
Python - required version: 3.6, 3.7, or 3.8
-
NumPy - required version: >= v1.17
Install from wheel
You can install NLCPy by executing either of following commands.
-
Install from PyPI
$ pip install nlcpy
-
Install from your local computer
-
Download the wheel package from GitHub.
-
Put the wheel package to your any directory.
-
Install the local wheel package via pip command.
$ pip install <path_to_wheel>
-
The shared objects for Vector Engine, which are included in the wheel package, are compiled and tested by using NEC C/C++ Compiler Version 3.4.0 and NumPy v1.19.2.
Install from source (with building)
Before building source files, please install following packages.
$ pip install numpy cython wheel
And, entering these commands in the environment where gcc
and ncc
commands are available.
$ git clone https://github.com/SX-Aurora/nlcpy.git
$ cd nlcpy
$ pip install .
Documentation
License
The BSD-3-Clause license (see LICENSE
file).
NLCPy is derived from NumPy, CuPy, PyVEO, and numpydoc (see LICENSE_DETAIL/LICENSE_DETAIL
file).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for nlcpy-2.1.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43da5cbbef9e836fdf4c6816133f89485351c291136bc2c1cca80868acead8e6 |
|
MD5 | 87c4c787be1c4fc1169b4d30522a54ab |
|
BLAKE2b-256 | d41fe12ac6fc8b48eee988cc476d38a3bacf3e96c14ca35a52ab55d5ccac5a89 |
Hashes for nlcpy-2.1.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 707978b5c42eb84709c04848923cebdf99db2fdeb566d8d26c778302eb70feae |
|
MD5 | 78ed6ead4b5fdcd53e9ed663e7730931 |
|
BLAKE2b-256 | ee88212db2e4a2f805b6ae609fdb29584dfbf933c1abe542a6516a49cafda8c3 |
Hashes for nlcpy-2.1.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5dbc71ad8cd7b6772a8e678d91b31c63288b96a6324f98ce3621558fd9bcfa4b |
|
MD5 | 4783c72107c8132e1c041ecb6ffa20e6 |
|
BLAKE2b-256 | e92a0472f00f9501e2731f5e0a47f951fd30769c5d6790eeb50f9be623fb9db2 |