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high-performance-computing
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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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utils::ptr_vector<T> serves a similar purpose like smart pointers from std. We should remove this implementation in favor of smart pointers from std.
I already took care of replacing utils::ptr_vector<T> with std::unique_ptr in precice/precice#1159, but there are many more places, where utils::ptr_vector<T> is used.
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Background
Currently, Alpa uses cupy as the python API binding for nccl. This causes two problems
- We need to do conversion between cupy tensors and xla tensors. Although we can achieve zero-copy through dlpack, this part of code is error-prune and hacky.
- There can be conflicts between the nccl used by cupy and the nccl used by XLA.
cupy.nccland [xla/nccl_utils](https://github.com/alp
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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.