Comments (4)
IIRC installing mkl should held to some extend. Then, Nutils picks a different solver backend.
Note that the fluid-nutils
case uses different numerics than the other fluid cases. We solve for velocities and pressure simultaneously and we use H2-H1 elements. Cheaper would be to use H1-H1 + stabilization, but I also like that we keep the code + formulation here as simple as possible. And we use second-order in time, which we need for testing the waveforms.
If we find anything quick and simple, OK, but I would not want to change the numerics here.
For the systemtests, I would simply compute a few timesteps.
from tutorials.
There is already #429 which touches the case quite a bit.
from tutorials.
Update: @uekerman wanted to have a closer look into the numerics, but after the currently semi-done release cycle.
from tutorials.
The participant micro-nutils in the two-scale heat conduction tutorial is also extremely slow compared to other micro simulations of similar kind, and I have a feeling that the numerics there has a lot of potential for improvement.
from tutorials.
Related Issues (20)
- Job summaries for system tests HOT 1
- Cannot reproduce reference results for elastic-tube-1d fluid_cpp - solid_python HOT 6
- Conversion errors in FEniCS FSI cases HOT 2
- peprpendicular-flap solid-openfoam case needs tuning HOT 7
- The `setup-dumux.sh` couldn't install DuMuX properly HOT 4
- Integrate updating/checking the config visualizations in the CI
- Docker build sometimes produces empty stdout.log
- Quickstart solid-cpp not being built automatically HOT 1
- Python packages not installed automatically for all tutorials HOT 2
- two-scale-heat-conduction DuMuX dependencies setup HOT 1
- Nutils tutorials always download pyprecice 3.0.0.0 HOT 1
- pushing to Git LFS
- Reference results metadata is outside the reference_results directory
- Source test cases from other repositories
- volume-coupled-flow: Source term incomplete
- Gradients: Surface-normal (scalars) vs complete (vector) HOT 1
- Missing requirements.txt and venv in some Python-based examples
- Fine-grained history and citation guidelines for each tutorial
- Specify default build arguments
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 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. 📊📈🎉
-
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 ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tutorials.