Comments (2)
In looking at eSCAPE-demo more extensively, I see that that this is discussed there. You state:
The code parallelisation relies on petsc4py and scalability tests are still on-going. For now on, we have seen some good performance up to 64 CPUs using a mesh with more than 6 millions vertices. Our goal is to be able to run models with more than 10 millions nodes and over several hundreds of CPUs.
This is very useful and I'd recommend stating this in the main eSCAPE repo instead.
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I have added a diagram in the eSCAPE-demo README file regarding performance and updated the main eSCAPE repo
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Related Issues (11)
- Cannot find API documentation HOT 1
- a module cannot be imported
- Any books to learn the geo-sciense algorithm? HOT 2
- eSCAPE needs instructions for testing HOT 3
- Improve eSCAPE HPCC installation instructions HOT 11
- Improve description of spatially and temporally variable inputs and outputs HOT 1
- Improve contributing/issues/help HOT 1
- Incomplete documentation related to boundary conditions HOT 2
- PETSC ERROR occur when testing examples HOT 9
- improve installation instructions for petsc HOT 10
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