Tobias Ribizel

This adds CUDA support to the compilation. Due to the structure of Ginkgo, this doesn't need to be a runtime dependency, as we can also use the stub library instead....

[BUG]: `reduce_by_key` fails with zip_iterator to const pointers

5

### Is this a duplicate? - [X] I confirmed there appear to be no [duplicate issues](https://github.com/NVIDIA/cccl/issues) for this bug and that I agree to the [Code of Conduct](CODE_OF_CONDUCT.md) ### Type...

Add Windows gitlab job

1

This adds CI jobs on a Windows gitlab-runner with an NVIDIA GPU

To simplify the review of #1516, this does all the necessary changes to automate the majority of the other changes - Add necessary switching headers - Provide device namespace macro...

This adds a function that prints a textual representation of the device used by an executor, and uses it in tests/benchmarks

Simple segmented ranges

1

This removes all stride support from #1582, which removes most of the heavy `iterator` functionality added in the other PR. It relies on `zip_iterator` to provide both enumerating `for (auto...

Require C++17 support

1

This requires C++17 support and removes the workarounds we had in place before

This replaces `std::tuple` by a custom `device_tuple` implementation to be used on the device. TODO - [ ] Merge #1603

This PR adds a bunch of utility abstractions for simplifying common iteration patterns in Ginkgo. 1. `irange`: Similar to the Python `range([start, ] stop[, step])` function, the `irange` provides a...

Add zero-checks to axpy-like operations

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Operations like $\alpha A x + 0 y$ may propagate NaNs from y to the output despite the 0 coefficient. This can be avoided by checking the beta scaling factors...