Fast distance calculations using explicitly vectorised SIMD
Project description
distopia
Faster distance calculations for the year 2022 🚀 🚀 🚀 using x86 SIMD intrinsics
Get it on PyPi with
pip install distopia
or get it from conda-forge with
conda install -c conda-forge distopia
Documentation can be found at https://www.mdanalysis.org/distopia/
Follow the instructions in the documentation for building from source!
A very simple build might look like the following
python setup.py install
You can then use the fast distance functions provided by distopia!
NOTE
Distopia is currently only for x86 processors
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
distopia-0.2.0.tar.gz
(1.5 MB
view details)
File details
Details for the file distopia-0.2.0.tar.gz.
File metadata
- Download URL: distopia-0.2.0.tar.gz
- Upload date:
- Size: 1.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.11.4 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a304d0000a397a2cb97f8c82d02655478eec8df20a858e82c2021bfaaf441d7f
|
|
| MD5 |
bb12f8c0791c8d5a2cc8a3469628a8a3
|
|
| BLAKE2b-256 |
954a66b9e47addeead45c465b0e34730d09b7d72217f268e6514448b481f0ca5
|
