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high-performance-computing
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Almost all of Kokkos should be noexcept
, but let's break it up into pieces that can be tackled in reasonable-sized issues. This one is the most urgent.
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Just an FYI whilst I was trawling through the ROCm GitHub page:
https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#
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We currently have a quite low test coverage in the PETSc radial-basis function mapping.
To be more precise, we only test the Tree
preallocation strategy. All remaining strategies Compute
, Save
, Estimate
, None
are not tested at all.
See the file on [CodeCov](https://codecov.io/gh/precice/prec
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For large parameter sets the optimizers can take a non-trivial amount of time. They lack timers to indicate how long the optimization took vs the configuration generation.
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Heston model has accurate density approximations for European option prices, which are of interest.
The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.