Hardware-aware optimization and design automation
Project description
Hardware-Aware Optimization and Design Automation
Reusable Python utilities for hardware-aware optimization and design automation.
Feature Synopsis
- intermediate representation (IR) system
- Xilinx tool backend
- Xilinx report parser
- Intel tool backend
- Intel report parser
Getting Started
Prerequisites
- Python 3.6+ and corresponding
pip
How to install Python 3.6+ on Ubuntu 18.04+ and CentOS 7?
Ubuntu 18.04+
sudo apt install python3 python3-pip
CentOS 7
sudo yum install python3 python3-pip
Installing from PyPI
python3 -m pip install --user --upgrade haoda
Installing from Source
python3 setup.py install --user
Installing for Development
python3 -m pip install --editable .
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 Distribution
haoda-0.0.20211016.dev1.tar.gz
(32.4 kB
view hashes)
Built Distributions
haoda-0.0.20211016.dev1-py3.6.egg
(94.5 kB
view hashes)
Close
Hashes for haoda-0.0.20211016.dev1-py3.6.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | f37746b688a2c191c33fc1661be65f154b59b94e836694580e84b7708e443f22 |
|
MD5 | 7e582fec04df4f33682c6c913ea766e0 |
|
BLAKE2b-256 | 23aae0952fb703d4dcdeba008d302202635a3a9f0d4a035c1a0c595589d6b7d4 |
Close
Hashes for haoda-0.0.20211016.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62e61f0f855a3c7cac5477640ea0a0e50ccba22b8772d3b42492c1959156719a |
|
MD5 | 9a6a261eb1cda5a0df7a879ae02d1660 |
|
BLAKE2b-256 | d4a2b4b038c1b28f095acc951cf5053eec4a425390e4c6e7da5da91ef5d0ea58 |