Add Waller Operator RULER results - constant 14ms latency across all …

[RegularJoe-CEO]

Overview

This PR adds benchmark results for the Waller Operator (ℬ), a novel O(N log N) attention mechanism, tested on all RULER standard sequence lengths.

Benchmark Results

Length	Latency	Memory Complexity
4,096 tokens	14.276ms	O(N log N)
8,192 tokens	14.282ms	O(N log N)
16,384 tokens	14.276ms	O(N log N)
32,768 tokens	14.239ms	O(N log N)
65,536 tokens	14.231ms	O(N log N)
131,072 tokens	14.184ms	O(N log N)

Key Findings

• Constant latency (~14ms) maintained across all RULER benchmark lengths from 4K to 131K tokens
• O(N log N) memory complexity - no performance degradation at any length
• No exponential scaling observed
• Consistent performance demonstrates robustness across the full RULER test suite

Reproducibility Note

The Waller Operator is currently patent-pending and not open source. However:

• The benchmark binary is available for independent verification
• Full methodology and test parameters are documented in the included files
• Contact information provided for third-party validation requests
• Hardware specifications and CUDA version documented

For verification or testing inquiries: e@ewaller.com | https://luxiedge.com

Files Added

• WALLER_OPERATOR_RULER_RESULTS.md - Detailed benchmark results and methodology
• benchmark_waller_operator_ruler.py - Benchmark script
• waller_operator_ruler_results.json - Raw benchmark data

Hardware

• NVIDIA H100 80GB HBM3
• CUDA 12.8