Kernel Fusion support for CUDA backend #3
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Implementation is in sommerlukas/llvm#2. |
This test has now been reinstated. The necessary fix for the CUDA PI is provided by intel/llvm#8374. |
sommerlukas
force-pushed
the
experiments/cuda-fusion
branch
from
0220c86
to
bf01e53
Compare
sommerlukas
force-pushed
the
experiments/cuda-fusion
branch
from
bf01e53
to
71739c2
Compare
|
Closing this PR as it is superseded by intel#1683. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Enable the SYCL kernel fusion application tests for the CUDA backend. Also adds some more tests to test scenarios relevant for the CUDA backend.
The test
sync_two_queues_event_dep.cppis currently failing occassionally. This seems to be due to some synchronization issue in the CUDA PI and is currently investigated further.The tests for different ND ranges remains deactivated for the CUDA backend, as heterogeneous ND ranges are not yet supported for CUDA.