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-0.0.20200425.dev1.tar.gz
(26.9 kB
view hashes)
Built Distributions
haoda-0.0.20200425.dev1-py3.6.egg
(77.5 kB
view hashes)
Close
Hashes for haoda-0.0.20200425.dev1-py3.6.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 59a57a13f8901bf6266e8582f8321dc693fe7d49fea4b87d0a10dcfe6bf9f636 |
|
MD5 | 7945c6d3a06f35cc6d0c8bc762d897b1 |
|
BLAKE2b-256 | 79eadde4641aa86b3781b01da3875a4e1e38dc0efadc0884ea09079abb713848 |
Close
Hashes for haoda-0.0.20200425.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1551185ea8cfb03a8a9d9f3f4968c538a9b692d88c8d2604561e751b4773b409 |
|
MD5 | 5319eb6b43a39461a5095a20ba196c5f |
|
BLAKE2b-256 | c565c408c017cd965e4097ef65d3a6d6859fb67899557cb6e553763bc86aef6c |