Add IRKGaussLegendre.jl methods to Non-stiff ODE benchmarks #1384
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This commit integrates IRKGL16 methods from IRKGaussLegendre.jl into the Non-stiff ODE benchmark suite, providing both normal and SIMD versions of high-precision 16th-order implicit Runge-Kutta Gauss-Legendre methods. Changes: • Add IRKGaussLegendre.jl dependency to Project.toml • Add IRKGL16(simd=false) and IRKGL16(simd=true) to LotkaVolterra benchmarks • Add IRKGL16 methods to ThreeBody benchmarks across all test sections • Add IRKGL16 methods to Pleiades benchmarks for comprehensive comparison • Add IRKGL16 methods to RigidBody benchmarks in low and higher order sections • Update import statements and solution names in all modified benchmarks • Include both regular and static array versions for complete coverage The SIMD version provides 6x performance improvement over the standard implementation according to the IRKGaussLegendre.jl documentation, making these methods particularly valuable for high-precision non-stiff ODE integration. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
IRKGL16 methods from IRKGaussLegendre.jl are in-place only and cannot be used with static arrays (prob_choice => 2). This commit removes all static array versions and updates solution names accordingly. Changes: • Remove all Dict(:alg=>IRKGL16(...), :prob_choice => 2) entries • Update solution names to remove references to static versions • Keep only in-place compatible IRKGL16(simd=false/true) methods • Reformat files for consistent styling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Regenerated Manifest.toml using Julia v1.10.10 instead of v1.11.6 for consistency with project standards. Changes: • Removed v1.11.6 generated Manifest.toml • Ran ]instantiate with Julia v1.10.10 to generate proper manifest • Verified IRKGaussLegendre.jl v0.2.11 resolves correctly on v1.10 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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Summary
This PR adds IRKGL16 methods from IRKGaussLegendre.jl to the Non-stiff ODE benchmark suite, providing comprehensive performance comparisons with both normal and SIMD versions of high-precision 16th-order implicit Runge-Kutta Gauss-Legendre methods.
Changes Made
New Dependency
IRKGaussLegendre.jl v0.2.11to Project.tomlMethods Added
Benchmark Files Modified
Technical Details
:prob_choice => 2) for comprehensive coveragePerformance Benefits
The IRKGL16 methods are particularly valuable for:
Test Plan
🤖 Generated with Claude Code