firedrakeproject/firedrake
Jan 2025 – Sep 2025
3 Months active
Languages Used
PythonC++
Technical Skills
Numerical MethodsParallel ComputingScientific ComputingSoftware TestingFinite Element MethodSoftware Engineering
Patrick E. Farrell
PROFILE
Patrick E. Farrell
Patrick Farrell contributed to the firedrakeproject/firedrake repository by developing advanced solver diagnostics and nonlinear solution techniques using C++ and Python. He implemented instrumentation for the ASMStarPC preconditioner, enabling users to analyze patch size statistics across MPI processes and improve parallel performance tuning. Patrick also enhanced solver robustness by fixing an edge case in the LinearEigensolver, ensuring correct behavior when no boundary conditions are present and adding automated tests for reliability. Additionally, he introduced a deflation-based solver, DeflatedSNES, allowing researchers to compute multiple nonlinear solutions within a single model. His work demonstrated depth in numerical methods and scientific computing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
512
Activity Months3
Your Network
25 peopleSame Organization
@maths.ox.ac.uk2
Shared Repositories
23
Angus GibsonMember
Pablo BrubeckMember
Connor WardMember
Colin J CotterMember
ZiyaSelimMember
David A. HamMember
Eike Hermann MuellerMember
Francesco BallarinMember
Sia GhelichkhanMember
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered a deflation-based solver enhancement for Firedrake that enables enumeration of multiple nonlinear solutions. This was achieved by introducing a DeflatedSNES solver and a Deflation object, along with a practical demonstration and automated tests to validate the workflow. The enhancement expands solver capabilities for nonlinear PDEs, enabling researchers to explore multiple solution branches within a single model while preserving compatibility with existing SNES-based infrastructure.
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered a deflation-based solver enhancement for Firedrake that enables enumeration of multiple nonlinear solutions. This was achieved by introducing a DeflatedSNES solver and a Deflation object, along with a practical demonstration and automated tests to validate the workflow. The enhancement expands solver capabilities for nonlinear PDEs, enabling researchers to explore multiple solution branches within a single model while preserving compatibility with existing SNES-based infrastructure.
September 2025
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for firedrake project. Key work focused on correcting a solver edge-case and validating it with tests. - Bug fix: LinearEigensolver now correctly handles the case where no boundary conditions are provided, ensuring proper restriction application and avoiding incorrect results in no-BC scenarios. - Test added: test_no_bcs to verify behavior in the absence of BCs, preventing regressions. - Commit reference: a3c204fd08c0a4981af1e898af34237f4cad47ac with message 'Get LinearEigensolver working when no BCs are passed (#4150)'. Overall, this work improves correctness, reliability, and user trust in eigenvalue computations for edge-case models. No new features were shipped this month; the focus was on robustness and test coverage.
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for firedrake project. Key work focused on correcting a solver edge-case and validating it with tests. - Bug fix: LinearEigensolver now correctly handles the case where no boundary conditions are provided, ensuring proper restriction application and avoiding incorrect results in no-BC scenarios. - Test added: test_no_bcs to verify behavior in the absence of BCs, preventing regressions. - Commit reference: a3c204fd08c0a4981af1e898af34237f4cad47ac with message 'Get LinearEigensolver working when no BCs are passed (#4150)'. Overall, this work improves correctness, reliability, and user trust in eigenvalue computations for edge-case models. No new features were shipped this month; the focus was on robustness and test coverage.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for firedrakeproject/firedrake focusing on feature delivery and performance instrumentation. Key feature delivered: - ASMStarPC Patch Size Statistics Diagnostics: Adds capability to compute and report minimum, average, and maximum patch sizes across MPI processes for the ASMStarPC preconditioner, enabled via the view_patch_sizes option. This enhances parallel diagnostics and tuning workflows. Additional context: - Commits: cd68f9dae50998cc9bdbf50fa0bb9972c919d3b3 - Add functionality to print patch statistics in ASMStarPC and friends (#3875) Impact: - Improves observability and debugging of parallel performance for large-scale runs, enabling faster optimization and more reliable scaling of preconditioners. Technologies/skills demonstrated: - MPI parallel diagnostics, preconditioner instrumentation, feature flag design (view_patch_sizes), code instrumentation and reporting, cross-repo change tracking.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for firedrakeproject/firedrake focusing on feature delivery and performance instrumentation. Key feature delivered: - ASMStarPC Patch Size Statistics Diagnostics: Adds capability to compute and report minimum, average, and maximum patch sizes across MPI processes for the ASMStarPC preconditioner, enabled via the view_patch_sizes option. This enhances parallel diagnostics and tuning workflows. Additional context: - Commits: cd68f9dae50998cc9bdbf50fa0bb9972c919d3b3 - Add functionality to print patch statistics in ASMStarPC and friends (#3875) Impact: - Improves observability and debugging of parallel performance for large-scale runs, enabling faster optimization and more reliable scaling of preconditioners. Technologies/skills demonstrated: - MPI parallel diagnostics, preconditioner instrumentation, feature flag design (view_patch_sizes), code instrumentation and reporting, cross-repo change tracking.
January 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Finite Element MethodNumerical MethodsParallel ComputingScientific ComputingSoftware EngineeringSoftware Testing
Repositories Contributed To
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