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Use massively parallel sundials solvers for running many solves with different input parameters #3028
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Development enabling GPU support for the IDAKLU solver stalled since parallelisation required (gpu) device-kernels to be compiled from PyBaMM models. This would require compilation of casadi libraries onto the device for execution, or implementation / translation of an alternative expression tree model (with interface) to the solver. At this time the PR is being closed in favour of the approach adopted in #3121. |
Description
Implement GPU-enabled solvers within Idaklu for massively parallel runs. Designed to provide support for input parameter sweeps, etc.
Pull request is currently work in progress:
Fixes #2644
Type of change
Please add a line in the relevant section of CHANGELOG.md to document the change (include PR #) - note reverse order of PR #s. If necessary, also add to the list of breaking changes.
Key checklist:
$ pre-commit run
(see CONTRIBUTING.md for how to set this up to run automatically when committing locally, in just two lines of code)$ python run-tests.py --all
$ python run-tests.py --doctest
You can run unit and doctests together at once, using
$ python run-tests.py --quick
.Further checks: