This limitation is caused by the fact that VTK-m caches compiler
location during the build stage for these tests, and this fails
on the test image as the compiler might not exist or is in a
different path
2d1b609b3 Use Ubuntu instead of rhel8 for cuda+kokkos
769248583 Make sure we use c++14 when using CUDA 11+
64efa6401 Kokkos: make sure we don't pass multiple rdc flags
b2f4c8e5e Switch -O3 to -O2 on Linux with Cuda 10
db57ed26a Fix warnings
452f61e29 Add Kokkos backend
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !2164
The `ContourTreeUniformAugmented` tests for Cuda consistently
times out while running on the `centos7_gcc48` and `rhel8_test_centos7`
configurations. Temporarily exclude it to improve the CI turn-around time
while this issue is being resolved.
934f085e0 Build diy as a library
f0a37ac6a Merge branch 'upstream-diy' into diy-mpi-nompi
7687aabf8 diy 2020-06-05 (b62915aa)
6ca2b9f87 Point to new version of Diy
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !2123
The centos7 on rhel8 was not running the install tests
as the path to cmake/ctest wasn't valid. This causes
the causes the following issues:
1. NOT_RUN tests with REPEAT don't show up in CMake failed
output fixed by:
https://gitlab.kitware.com/cmake/cmake/-/merge_requests/4801
2. failed tests cause ctest_test to return an error code,
which propagates to the script, which propagates to
having ctest running the script return an error.
When VTK compiles VTK-m for inclusion as an accelerator library, it sets
an option to compile filters and other components for a different (and
expanded) set of common types. We should test this configuration.
A single gitlab-runner can run multiple test stages
concurrently on the same hardware. When we have 3
jobs asking for 100% of the cpu's we get a 300%
reduction in performance caused by task switching
Problem was that CMake 3.12 was the CMake version used in the
build image, and test image was using 3.13. This was a problem
as the install test invocation aren't backwards convertible and
therefore failed.
To simplify reproducing docker based CI workers locally, VTK-m has python program that handles all the
work automatically for you.
The program is located in `[Utilities/CI/reproduce_ci_env.py ]` and requires python3 and pyyaml.
To use the program is really easy! The following two commands will create the `build:rhel8` gitlab-ci
worker as a docker image and setup a container just as how gitlab-ci would be before the actual
compilation of VTK-m. Instead of doing the compilation, instead you will be given an interactive shell.
```
./reproduce_ci_env.py create rhel8
./reproduce_ci_env.py run rhel8
```
To compile VTK-m from the the interactive shell you would do the following:
```
> src]# cd build/
> build]# cmake --build .
```
