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
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
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 |