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

fix: Missing thread sync in CUDA connected components #4080

Merged
merged 1 commit into from
Feb 11, 2025

Conversation

benjaminhuth
Copy link
Member

@benjaminhuth benjaminhuth commented Feb 11, 2025

--- END COMMIT MESSAGE ---

Any further description goes here, @-mentions are ok here!

  • Use a conventional commits prefix: quick summary
    • We mostly use feat, fix, refactor, docs, chore and build types.
  • A milestone will be assigned by one of the maintainers

Summary by CodeRabbit

  • Bug Fixes
    • Enhanced internal synchronization in parallel processing to ensure that all initialization steps complete reliably. This update minimizes potential inconsistencies during concurrent operations, contributing to improved stability and performance for end-users.

@benjaminhuth benjaminhuth added this to the next milestone Feb 11, 2025
Copy link

coderabbitai bot commented Feb 11, 2025

Walkthrough

Hmmm. Introduced a synchronization barrier in the labelConnectedComponents kernel, the change has. A call to __syncthreads() after initializing shared arrays now ensures that all threads finish setup before the main loop, they do. Unchanged, the algorithm's core logic remains; modified only, the control flow is, to avoid race conditions.

Changes

File(s) Change Summary
Plugins/ExaTrkX/.../ConnectedComponents.cuh In labelConnectedComponents kernel, added __syncthreads() after initializing labels and labelsNext to enforce synchronization.

Sequence Diagram(s)

sequenceDiagram
    participant T as Thread
    participant K as Kernel (labelConnectedComponents)
    participant A as Array Initialization
    participant S as Sync Barrier (__syncthreads)
    participant M as Main Loop

    Note over K: Kernel execution begins
    T->>A: Initialize shared arrays
    T->>S: Execute __syncthreads()
    S-->>T: Synchronization complete
    T->>M: Enter main loop computations
Loading

Poem

In code's vast galaxy bright,
Threads align with force and might,
Synced they are, as rules decree,
Race conditions, no longer to be,
May order and calm guide our night!


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR. (Beta)
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@github-actions github-actions bot added the Component - Plugins Affects one or more Plugins label Feb 11, 2025
Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

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

Actionable comments posted: 0

🧹 Nitpick comments (2)
Plugins/ExaTrkX/include/Acts/Plugins/ExaTrkX/detail/ConnectedComponents.cuh (2)

33-34: Document the reasoning behind single block constraint, we must.

Clear to future maintainers, the limitation of single block execution should be. Add a comment explaining why this constraint exists and its impact on scalability, we should.

-  // Currently this kernel works only with 1 block
+  // This kernel is restricted to single block execution to ensure
+  // correct synchronization of the connected components algorithm.
+  // Note: This may limit scalability for large graphs.

25-27: Document performance characteristics, we should.

Help future developers understand the performance implications of synchronization barriers, we must. Add performance notes to the algorithm documentation, I suggest.

 /// Implementation of the FastSV algorithm as shown in
 /// https://arxiv.org/abs/1910.05971
+/// Note: This implementation uses multiple thread synchronization barriers
+/// which may impact performance. The single-block constraint also limits
+/// scalability to the maximum number of threads per block.
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e46a352 and 403191d.

📒 Files selected for processing (1)
  • Plugins/ExaTrkX/include/Acts/Plugins/ExaTrkX/detail/ConnectedComponents.cuh (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (13)
  • GitHub Check: merge-sentinel
  • GitHub Check: unused_files
  • GitHub Check: CI Bridge / build_exatrkx
  • GitHub Check: missing_includes
  • GitHub Check: macos
  • GitHub Check: CI Bridge / build_gnn_tensorrt
  • GitHub Check: CI Bridge / build_exatrkx_cpu
  • GitHub Check: linux_ubuntu_extra (ubuntu2204, 20, clang++)
  • GitHub Check: CI Bridge / clang_tidy
  • GitHub Check: linux_ubuntu_extra (ubuntu2204, 20, g++)
  • GitHub Check: build_debug
  • GitHub Check: linux_ubuntu
  • GitHub Check: docs
🔇 Additional comments (2)
Plugins/ExaTrkX/include/Acts/Plugins/ExaTrkX/detail/ConnectedComponents.cuh (2)

36-41: Wise addition of thread synchronization barrier, this is!

Prevent race conditions between initialization and main loop processing, this synchronization does. Ensures all threads complete their initialization before proceeding, it does. A critical fix for thread safety, this is.


44-97: Well-synchronized, the FastSV algorithm implementation is!

Proper thread synchronization at critical points, it maintains. Follows the FastSV paper's algorithm faithfully, it does. No concerns with the implementation, have I.

Copy link

📊: Physics performance monitoring for 403191d

Full contents

physmon summary

@kodiakhq kodiakhq bot merged commit 287bf22 into acts-project:main Feb 11, 2025
49 checks passed
@paulgessinger paulgessinger modified the milestones: next, v39.1.0 Feb 14, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Component - Plugins Affects one or more Plugins
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants