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-0.0.20200507.dev1.tar.gz
(27.4 kB
view hashes)
Built Distributions
haoda-0.0.20200507.dev1-py3.6.egg
(78.8 kB
view hashes)
Close
Hashes for haoda-0.0.20200507.dev1-py3.6.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | adfecd75c974f15247a9ea46012508b57c8234a0b5ffeb2db8441ce9d9aacb14 |
|
MD5 | b9656af55495e67c3b7c0f19eaf08cdb |
|
BLAKE2b-256 | d524b76dddffdfbc6340cdd2824110639f926fde18914d6ac5790ce1c07e71ac |
Close
Hashes for haoda-0.0.20200507.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c7636cfb32b9002b9b40d92acb11d78a94bd32cbc856414986c6ddfc8ea7991a |
|
MD5 | 2131e00eb172adfdd5b8df8fca3a3aad |
|
BLAKE2b-256 | 8cbe06caac9144ab1969e562552047b16d941be474110bce0f9fa3ad7c2b5fc5 |