jzfmm
GPU-native fast multipole method and differentiable N-body simulations in JAX. See the documentation for installation instructions and examples.
Select the cuda12 or cuda13 extra to install the matching CUDA backend.
1 maintainer
Metadata
1 maintainer
Release files for jzfmm 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jzfmm-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / jzfmm-1.0.1-py3-none-any.whl
| Download URL | jzfmm-1.0.1-py3-none-any.whl |
|---|---|
| Size | 25.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0be081322ca39fdaece895a6e42a67d14797b00afd4cab02d2daa440bb24f76e
|
|
BLAKE2b-256 checksum How to use checksums |
ba851e3608a4579245407075cc843f56d0bff1478bbd6dce3491b9dfbf9b9609
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
