Comments (2)
Try to use NeighborListFreud, instead of NeighborList. The latter one relies on the neighbor list module of jax-md, which is slow and memory consuming. On the other hand, the Freud neighbor list runs on CPU, which does not have the memory issue for large systems, and, surprisingly, often runs faster.
Nevertheless, the performances of both modules are unsatisfactory. We are working on more efficient implementations of neighbor list. And hopefully can get it done in next few months.
from dmff.
It seems like this does the trick. Comparing with some larger systems at reasonable cutoffs (8-10 Angstrom), the results scale somewhat better with NeighborListFreud although still run into bottlenecks on especially large systems from the benchmark suites of other packages. In regards to my other issue, it looks like there were also some issues with box vector input format that would cause the generation of some large n^2 arrays. This behavior seems to no longer be an issue in the development branch mentioned in that issue though.
from dmff.
Related Issues (20)
- [Feature Request] Request a new feature for development of reactive force field HOT 3
- [BUG] spatial.py shape error
- Question about gradient HOT 7
- [Feature Request] Change the API of polarizable potential (ADMP and Qeq) functions HOT 1
- [Feature Request] Change the default unit of the ADMP frontend
- [BUG] Matching energies to reference after dynamics HOT 2
- [Feature Request] Install dependencies automatically and publish to PyPI HOT 3
- [Feature Request] Support for machine learning force field in OpenMM DMFF plugin HOT 1
- Installation problem
- Op type not registered 'XlaSharding' in binary running HOT 1
- [Feature Request] Refactor the cpp interface of the saved DMFF jax model with MD engine
- update the charge HOT 2
- [Feature Request] MD Engine Support (OpenMM) for trained model with DMFF HOT 3
- [Feature Request] Support Virtual Site in DMFF frontend HOT 1
- [Feature Request] MD Engine Support (LAMMPS) for trained model with DMFF
- [Feature Request] Support parameter optimization for dynamic properties based on trajectory HOT 2
- [Feature Request] QEQ modelโs parameterization for conductive electrodes with DMFF HOT 1
- [Feature Request] Workflow to fit relative protein-ligand binding free energy data
- [Feature Request] Efficient neighborlist construction/usage plugin for nonbonded force calculation HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dmff.