Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Reduce conditional_join nvbench configurations #16036

Merged

Conversation

srinivasyadav18
Copy link
Contributor

@srinivasyadav18 srinivasyadav18 commented Jun 14, 2024

Description

The current JOIN_NVBENCH uses three table sizes 1000, 100'000, 10'000'000 for all the join benchmarks.

But, coditional joins perform X * Y operations, and the large table size explodes the bench runtime. Hence we need to benchmark on smaller tables only.

This PR reduces nvbench configurations from 36 to 16 by using only two smaller table sizes 1000, 100'000 which lowers the overall benchmark runtime significantly.

Checklist

  • I am familiar with the Contributing Guidelines.
  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.

@srinivasyadav18 srinivasyadav18 added Performance Performance related issue non-breaking Non-breaking change labels Jun 14, 2024
@srinivasyadav18 srinivasyadav18 requested a review from a team as a code owner June 14, 2024 16:44
@github-actions github-actions bot added the libcudf Affects libcudf (C++/CUDA) code. label Jun 14, 2024
@srinivasyadav18 srinivasyadav18 added the improvement Improvement / enhancement to an existing function label Jun 14, 2024
Copy link
Member

@PointKernel PointKernel left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@srinivasyadav18 can you please add a comment explaining why the custom range is needed for conditional join?

Looks great! Thanks!

Copy link
Contributor

@karthikeyann karthikeyann left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Looks great. 👍

@srinivasyadav18
Copy link
Contributor Author

/merge

@rapids-bot rapids-bot bot merged commit 0bdf934 into rapidsai:branch-24.08 Jun 18, 2024
86 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
improvement Improvement / enhancement to an existing function libcudf Affects libcudf (C++/CUDA) code. non-breaking Non-breaking change Performance Performance related issue
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants