# BS3 vs DP5 Benchmark Results Generated: 2025-10-23 ## Summary Comprehensive performance comparison between **BS3** (Bogacki-Shampine 3rd order) and **DP5** (Dormand-Prince 5th order) integrators across various test problems and tolerances. ## Key Findings ### Overall Performance Comparison **DP5 is consistently faster than BS3 across all tested scenarios**, typically by a factor of **1.5x to 4.3x**. This might seem counterintuitive since BS3 uses fewer stages (4 vs 7), but several factors explain DP5's superior performance: 1. **Higher Order = Larger Steps**: DP5's 5th order accuracy allows larger timesteps while maintaining the same error tolerance 2. **Optimized Implementation**: DP5 has been highly optimized in the existing codebase 3. **Smoother Problems**: The test problems are relatively smooth, favoring higher-order methods ### When to Use BS3 Despite being slower in these benchmarks, BS3 still has value: - **Lower memory overhead**: Simpler dense output (4 values vs 5 for DP5) - **Moderate accuracy needs**: For tolerances around 1e-3 to 1e-5 where speed difference is smaller - **Educational/algorithmic diversity**: Different method characteristics - **Specific problem types**: May perform better on less smooth or oscillatory problems ## Detailed Results ### 1. Exponential Decay (`y' = -0.5y`, tolerance 1e-5) | Method | Time | Ratio | |--------|------|-------| | **BS3** | 3.28 µs | 1.92x slower | | **DP5** | 1.70 µs | baseline | Simple 1D problem with smooth exponential solution. ### 2. Harmonic Oscillator (`y'' + y = 0`, tolerance 1e-5) | Method | Time | Ratio | |--------|------|-------| | **BS3** | 30.70 µs | 2.25x slower | | **DP5** | 13.67 µs | baseline | 2D conservative system with periodic solution. ### 3. Nonlinear Pendulum (tolerance 1e-6) | Method | Time | Ratio | |--------|------|-------| | **BS3** | 132.35 µs | 3.57x slower | | **DP5** | 37.11 µs | baseline | Nonlinear 2D system with trigonometric terms. ### 4. Orbital Mechanics (6D, tolerance 1e-6) | Method | Time | Ratio | |--------|------|-------| | **BS3** | 124.72 µs | 1.45x slower | | **DP5** | 86.10 µs | baseline | Higher-dimensional problem with gravitational dynamics. ### 5. Interpolation Performance | Method | Time (solve + 100 interpolations) | Ratio | |--------|-----------------------------------|-------| | **BS3** | 19.68 µs | 4.81x slower | | **DP5** | 4.09 µs | baseline | BS3 uses cubic Hermite interpolation, DP5 uses optimized 5th order interpolation. ### 6. Tolerance Scaling Performance across different tolerance levels (`y' = -y` problem): | Tolerance | BS3 Time | DP5 Time | Ratio (BS3/DP5) | |-----------|----------|----------|-----------------| | 1e-3 | 1.63 µs | 1.26 µs | 1.30x | | 1e-4 | 2.61 µs | 1.54 µs | 1.70x | | 1e-5 | 4.64 µs | 2.03 µs | 2.28x | | 1e-6 | 8.76 µs | ~2.6 µs* | ~3.4x* | | 1e-7 | -** | -** | - | \* Estimated from trend (benchmark timed out) \** Not completed **Observation**: The performance gap widens as tolerance tightens, because DP5's higher order allows it to take larger steps while maintaining accuracy. ## Conclusions ### Performance Characteristics 1. **DP5 is the better default choice** for most problems requiring moderate to high accuracy 2. **Performance gap increases** with tighter tolerances (favoring DP5) 3. **Higher dimensions** slightly favor BS3 relative to DP5 (1.45x vs 3.57x slowdown) 4. **Interpolation** strongly favors DP5 (4.8x faster) ### Implementation Quality Both integrators pass all accuracy and convergence tests: - ✅ BS3: 3rd order convergence rate verified - ✅ DP5: 5th order convergence rate verified (existing implementation) - ✅ Both: FSAL property correctly implemented - ✅ Both: Dense output accurate to specified order ### Future Optimizations Potential improvements to BS3 performance: 1. **Specialized dense output**: Implement the optimized BS3 interpolation from the 1996 paper 2. **SIMD optimization**: Vectorize stage computations 3. **Memory layout**: Optimize cache usage for k-value storage 4. **Inline hints**: Add compiler hints for critical paths Even with optimizations, DP5 will likely remain faster for these problem types due to its higher order. ## Recommendations - **Use DP5**: For general-purpose ODE solving, especially for smooth problems - **Use BS3**: When you specifically need: - Lower memory usage - A 3rd order reference implementation - Comparison with other 3rd order methods ## Methodology - **Tool**: Criterion.rs v0.7.0 - **Samples**: 100 per benchmark - **Warmup**: 3 seconds per benchmark - **Optimization**: Release mode with full optimizations - **Platform**: Linux x86_64 - **Compiler**: rustc (specific version from build) All benchmarks use `std::hint::black_box()` to prevent compiler optimizations from affecting timing. ## Reproducing Results ```bash cargo bench --bench bs3_vs_dp5 ``` Detailed plots and statistics are available in `target/criterion/`.