GPU Benchmark Recommended Setup

This document records the currently best-performing runtime setup found in examples/tree_gpu_performance_scaling.ipynb for the radix traversal path (on A100 in the reported sweep).

Locked Runtime Settings

• radix_leaf_size = 64

• traversal_process_block = 256

• keep theta and mac_type unchanged unless explicitly doing an accuracy/performance study

Traversal capacity schedule in the notebook is currently:

• N <= 8,192: (256, 256, 65,536)

• N <= 16,384: (512, 512, 65,536)

• N <= 32,768: (1024, 512, 131,072)

• N <= 65,536: (2048, 1024, 131,072)

• N <= 131,072: (4096, 1024, 262,144)

Tuple order is:

(max_neighbors_per_leaf, max_interactions_per_node, max_pair_queue)

Observed Best From Knob Sweep

From the notebook knob sweep (leaf_size x process_block at large N):

• Best traversal runtime: leaf_size=64, process_block=256

• Best total radix pipeline (build + geometry + traversal): leaf_size=64, process_block=256

Repro Notes

1. Restart kernel before benchmark runs.

2. Run notebook cells from top so config and helper changes are active.

3. Use per-N cap selection (_cap_for_n(...)) in weak and strong scaling sections (already wired in the notebook).

4. If hardware or software stack changes substantially, rerun the knob sweep cell and update this file.