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

Introduced HPC into relevant parts #3

Merged
merged 1 commit into from
Jan 13, 2025
Merged

Introduced HPC into relevant parts #3

merged 1 commit into from
Jan 13, 2025

Conversation

velocitatem
Copy link
Owner

@velocitatem velocitatem commented Jan 13, 2025

This pull request introduces OpenMP parallelism to the project, modifies the goal test and heuristic values in the test suite, and adds timing measurements to the search tests. The most important changes include adding OpenMP support, updating the goal test and heuristic values, and measuring execution time in tests.

Parallelism and Performance Improvements:

  • CMakeLists.txt: Added OpenMP support by finding the OpenMP package and linking it to the symphony target if found.
  • src/search.cpp: Included the OpenMP header and added a parallel for loop with dynamic scheduling for the breadth-first search algorithm. [1] [2]

Test Suite Modifications:

  • tests/tests.cpp: Updated the goal test and heuristic values in the TestProblem class to use 10010 instead of 10. [1] [2]
  • tests/tests.cpp: Added timing measurements using omp_get_wtime() to the A* search and breadth-first search tests to measure and print the execution time.

These changes aim to enhance the performance of the search algorithms through parallelism and provide more accurate test results with updated values and performance metrics.

Summary by CodeRabbit

  • New Features

    • Added OpenMP support for parallel processing in the project
    • Introduced performance measurement capabilities for search algorithms
  • Performance Improvements

    • Enabled parallel node expansion in Breadth-First Search
    • Added execution time tracking for search algorithms
  • Test Updates

    • Modified test problem logic and goal state conditions
    • Updated test cases to reflect new expected values

Copy link

coderabbitai bot commented Jan 13, 2025

Walkthrough

This pull request introduces OpenMP support to the symphony project, focusing on parallel processing capabilities. The changes span across the CMakeLists.txt configuration, the search implementation in search.cpp, and test cases in tests.cpp. The primary goal is to enable parallel node expansion in search algorithms, specifically for the Breadth-First Search method, and to modify the test problem's goal and heuristic conditions.

Changes

File Change Summary
CMakeLists.txt Added OpenMP support by finding the OpenMP package and linking it to the symphony target
src/search.cpp Introduced OpenMP parallelization for node expansion in BreadthFirstSearch::search method
tests/tests.cpp Updated goal test and heuristic conditions, modified test cases to expect value 10010, added OpenMP timing measurements

Sequence Diagram

sequenceDiagram
    participant Search as BreadthFirstSearch
    participant OpenMP as OpenMP Runtime
    participant Frontier as Search Frontier
    
    Search->>OpenMP: Parallel for loop triggered
    OpenMP->>Frontier: Distribute node expansion tasks
    Frontier-->>OpenMP: Concurrent child node generation
    OpenMP-->>Search: Aggregated search results
Loading

Possibly related PRs

Poem

🐰 Parallel paths, a rabbit's delight,
OpenMP weaves code with might!
Nodes expand, swift and free,
Computational harmony
In symphony's algorithmic flight! 🚀

Finishing Touches

  • 📝 Generate Docstrings (Beta)

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.

Copy link

github-actions bot commented Jan 13, 2025

Test Results

4 tests  ±0   4 ✅ ±0   0s ⏱️ ±0s
2 suites ±0   0 💤 ±0 
1 files   ±0   0 ❌ ±0 

Results for commit 221f831. ± Comparison against base commit 72e2644.

♻️ This comment has been updated with latest results.

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: 1

🧹 Nitpick comments (1)
tests/tests.cpp (1)

4-4: Use std::chrono instead of OpenMP for timing measurements

Including <omp.h> and using omp_get_wtime() solely for timing adds unnecessary dependency on OpenMP in your tests. The C++ standard library offers <chrono> for high-resolution timing without external dependencies.

Suggested changes:

-#include <omp.h>
+#include <chrono>

And update the timing code in your tests:

-double start = omp_get_wtime();
+auto start = std::chrono::high_resolution_clock::now();

...

-double end = omp_get_wtime();
+auto end = std::chrono::high_resolution_clock::now();

...

-std::cout << "Time: " << end - start << std::endl;
+std::chrono::duration<double> elapsed = end - start;
+std::cout << "Time: " << elapsed.count() << " seconds" << std::endl;
📜 Review details

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

📥 Commits

Reviewing files that changed from the base of the PR and between 72e2644 and 221f831.

📒 Files selected for processing (3)
  • CMakeLists.txt (1 hunks)
  • src/search.cpp (2 hunks)
  • tests/tests.cpp (5 hunks)
🧰 Additional context used
🪛 GitHub Actions: C++ CI
tests/tests.cpp

[error] 36-39: Mismatched end line for _ZN22Definitions_State_Test8TestBodyEv function. LCOV coverage data generation failed.

⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: build
🔇 Additional comments (5)
src/search.cpp (1)

10-10: Ensure OpenMP is supported in your build environment

The inclusion of #include <omp.h> requires that your compiler and build environment support OpenMP. Make sure that the appropriate compiler flags (e.g., -fopenmp for GCC/Clang) are set in your build configuration.

tests/tests.cpp (3)

22-22: Verify the impact of increasing the goal value on test performance

Changing the goal value from 10 to 10010 in goal_test significantly increases the search depth required to find a solution. This can lead to longer execution times and higher resource consumption during testing, especially for uninformed search algorithms like Breadth-First Search.

Please confirm that this change is intentional and that the tests still complete within an acceptable time frame.


32-32: Ensure heuristic remains admissible with updated goal value

Updating the heuristic function to return 10010 - test_state->value aligns it with the new goal value. However, it's important to verify that the heuristic remains admissible (never overestimates the true cost) and consistent to guarantee the optimality and efficiency of algorithms like A* Search.

Please ensure that the heuristic accurately reflects the minimal cost to reach the goal from any given state.


44-49: Investigate pipeline failure related to code coverage

The pipeline reports a failure in LCOV coverage data generation with a mismatched end line error. This issue might be related to the inclusion of OpenMP directives or the use of omp_get_wtime() in the tests.

Consider the following steps to troubleshoot:

  • Remove the dependency on OpenMP in tests by using std::chrono for timing, as suggested earlier.
  • Ensure that your code coverage tools are configured to handle any parallel code correctly.
  • Verify that all source files are being compiled with the same settings used during coverage analysis.

Also applies to: 56-61, 70-70

CMakeLists.txt (1)

17-22: OpenMP integration in CMake is correctly implemented

The addition of OpenMP support in your CMake configuration is properly done. The find_package(OpenMP) command searches for OpenMP, and conditional linking with target_link_libraries ensures compatibility when OpenMP is available.

@@ -60,6 +61,7 @@ std::shared_ptr<Node> BreadthFirstSearch::search() {
if (problem->goal_test(state)) {
return node;
}
#pragma omp parallel for shared(frontier) schedule(dynamic) if (frontier.size() > 1000)
Copy link

Choose a reason for hiding this comment

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

⚠️ Potential issue

Potential data race on frontier due to concurrent modifications

The use of #pragma omp parallel for introduces parallelism when iterating over problem->actions(node->state). However, the frontier queue is being modified concurrently by multiple threads with frontier.push(child);. Since std::queue is not thread-safe, this can lead to data races and undefined behavior.

To address this issue, consider collecting child nodes in a thread-local container and then merging them into frontier after the parallel region. Here's a suggested fix:

 while (!frontier.empty()) {
     auto node = frontier.front();
     frontier.pop();

     State *state = node->state.get();
     if (problem->goal_test(state)) {
         return node;
     }

+    std::vector<std::shared_ptr<Node>> local_children;
 #pragma omp parallel for schedule(dynamic) if (frontier.size() > 1000)
     for (size_t i = 0; i < problem->actions(node->state).size(); ++i) {
         const auto &action = problem->actions(node->state)[i];
         auto child = std::make_shared<Node>(
             node,
             action->effect,
             action,
             node->path_cost + action->cost,
             problem->heuristic(action->effect.get())
         );
-        frontier.push(child);
+        #pragma omp critical
+        {
+            local_children.push_back(child);
+        }
     }
+    for (const auto& child : local_children) {
+        frontier.push(child);
+    }
 }

Alternatively, you might use locks or a thread-safe queue to manage concurrent access to frontier, but be mindful of the potential performance implications.

Committable suggestion skipped: line range outside the PR's diff.

@velocitatem velocitatem merged commit 76289e2 into main Jan 13, 2025
4 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant