Dev more bench #8
Merged
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
speedup > n_cores ????
it seems the library creates much more overhead for serial execution than parallel
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Outdated suggestions cannot be applied.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.
Added:
It seems speedup reaches a ceiling of approximately 2 for
axpy&gemvbenches, while it reaches ideal values (16 for my laptop) when runninggemm. Note that ideal values are also reached in the first two benches when artificially lengthening the kernel using a method such assleep.The hardcoded
gemmbench yields approximately the same result for parallel execution, but significantly better result for serial execution.Considering these two points, could the compiler be optimizing away some things I missed?