⚡ Bolt: [Performance] Optimize distance matrix calculation across simulations and diagnostics#117
⚡ Bolt: [Performance] Optimize distance matrix calculation across simulations and diagnostics#117seonghobae wants to merge 2 commits into
Conversation
…t with 2D algebra * Replace 3D broadcast differences with 2D linear algebra * `(x_i - z_j)^2 = x_i^2 + z_j^2 - 2x_i z_j` via `np.einsum` and `np.dot` * Reduces memory overhead from O(N*J*D) to O(N*J) * Resolves bottleneck in `fast_mlsirm/simulation.py` and `diagnostics.py`
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
Understood. Acknowledging that this work is now superseded by PR #107 and stopping work on this task. |
1 participant
💡 What: Implement 2D linear algebraic optimization to replace 3D broadcasting in distance computations using
np.einsumandnp.dot.🎯 Why: When calculating the Euclidean distance between multidimensional representations of person interactions and item characteristics, the previous mechanism constructed an intermediate 3D array of size
(N, J, D)causing severe memory overhead and CPU performance degradation.📊 Impact: Expected to reduce memory consumption limits by O(D) operations from peak matrix distance derivations and dramatically speed up internal loops that use this logic.
🔬 Measurement: Verify changes locally passing the simulation and diagnostic unit tests without performance/memory bottleneck warnings.
PR created automatically by Jules for task 334409442862665920 started by @seonghobae