StepTHn: do a pre lookup for the bin using a uniform grid#15444
Open
ktf wants to merge 2 commits into
Open
Conversation
Replaces 4 virtual calls to GetAt / SetAt / AddAt with just one to updateBin.
Rather than doing a O(log N) binary search for the correct bin, precompute a uniform index for a O(1) lookup and find the actual bin using a short linear search.
Member
Author
|
@jgrosseo with these two I gain 10% in performance for the Correlation business. On hyperloop the results seem to be compatible, for what I can tell. Can you validate and eventually merge? |
Collaborator
|
I can look into this next week... |
This file contains hidden or 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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Rather than doing a O(log N) binary search for the correct bin, precompute a uniform index for a O(1) lookup and find the actual bin using a short linear search.
Stack created with Sapling. Best reviewed with ReviewStack.