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Benchmarking Methodology
Benchmarking Methodology - Universal RNG Library 🔬 Scientific Approach to Performance Measurement All performance claims in the Universal RNG Library documentation are based on rigorous, reproducible benchmarking methodology. This page documents the exact procedures, tools, and statistical methods used to generate our performance data. 🎯 Core Principles Reproducibility First
Exact hardware specifications documented for every benchmark Compiler versions and flags recorded and version-controlled Statistical significance required for all performance claims Multiple platform validation across different systems Open source benchmarks - all measurement code available
Scientific Rigor
Warm-up phases to eliminate cold cache effects Multiple iteration averaging with statistical variance analysis Outlier detection and handling using robust statistical methods Confidence intervals reported for all measurements Baseline comparisons against well-established reference implementations
🛠️ Benchmark Infrastructure Hardware Test Environment Primary Test System (Reference Results)
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PLEASE DO BEAR IN CONSTANT MIND ABOVE ALL ELSE: CURRENT STATE OF DEVELOPMENT THE C++ STD LIBRARY EMPLOYING MERSENNE TWISTER STILL OUTPERFORMS SINGLE CALCULATION OPERATIONS FOR NON-SIMD BOOSTED COMPUTERS. THESE LIBRARIES FULLY REQUIRE AT LEAST AVX2 MINIMUM TO BENEFIT OVER THE STD GENERATION METHODS WHEN CONSIDERING SINGLE NUMBER GENERATION TASKS.
