Exceptional Speedups with GenEO
Up to 50× performance gains with GenEO preconditioning on large-scale problems
Our GenEO preconditioning approach has achieved remarkable speedups on large-scale problems, demonstrating the power of domain decomposition methods at exascale.
1. Overview
The Generic Energy-Minimizing Coarse Space (GenEO) preconditioner has proven exceptionally effective for large-scale simulations, achieving up to 50× speedup on challenging industrial problems.
3. Technical Details
4. Method Innovation
The GenEO preconditioner enhances classical domain decomposition by:
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Adaptive Coarse Space Construction: Automatically builds coarse spaces based on local eigenvalue problems
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Robust Convergence: Maintains iteration counts independent of problem parameters
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Parallel Efficiency: Scales effectively to thousands of cores
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Mixed-Precision Support: Additional gains through adaptive precision strategies
5. Impact on Applications
This breakthrough enables:
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Industrial Simulations: Complex geometries (aerospace, automotive) now tractable at full resolution
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Real-Time Analysis: Faster turnaround for design optimization loops
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Larger Problems: Previously infeasible problem sizes now accessible
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Energy Efficiency: Reduced computational time = lower energy consumption
6. Related Work Packages
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WP2: Scalable Linear Algebra - Core method development
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WP3: Optimization & UQ - Integration with optimization workflows
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WP5: Application Demonstrators - Industrial validation
7. Publications & Resources
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Conference presentations at domain decomposition workshops
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Integration in production solvers (Feel++, FreeFEM)
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Available through Exa-MA software stack