ExtremeFLOW/neko
Oct 2024 – Apr 2026
12 Months active
Languages Used
FortranJSONMarkdownC++ShellPython
Technical Skills
Build System ConfigurationBuild SystemsCode CleanupCode ReversionCommand-line toolsConfiguration
Victor Baconnet
PROFILE
Victor Baconnet
Over the past year, contributed to ExtremeFLOW/neko by developing and refining core simulation features, focusing on computational fluid dynamics, high-performance computing, and robust data workflows. Delivered enhancements such as user-configurable boundary conditions, dynamic restart management, and in-situ data streaming using Fortran, C++, and JSON-driven configuration. Improved reliability through targeted bug fixes in memory management, file I/O, and GPU-accelerated routines, while optimizing build systems and code structure for maintainability. Introduced advanced interpolation, field subsampling, and registry-based statistics, enabling scalable, reproducible simulations. The work emphasized clear documentation, cross-platform compatibility, and streamlined onboarding, supporting both scientific accuracy and developer productivity.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
53Total
Bugs
11
Commits
53
Features
27
Lines of code
6,397
Activity Months12
Your Network
48 peopleSame Organization
@kth.se32
Shared Repositories
16
Adam PeplinskiMember
AdityaMember
Gregor CorbinMember
Siavash ToosiMember
Tuan Anh DaoMember
Linnea HuuskoMember
MartinKarpMember
Niclas JanssonMember
gloopydoopMember
Work History
April 2026
9 Commits • 7 Features
Apr 1, 2026April 2026 (2026-04) focused on increasing configurability, reliability, and data I/O capabilities for ExtremeFLOW neko, delivering features that enable safer experimentation, scalable data streaming, and better observability while tightening resource management. Key features delivered (business and technical impact): - Global interpolation configuration via JSON with breaking changes: exposed tolerance and padding in a user-facing subdict, added defaults and double-precision handling, and introduced a JSON-based initialization path for probes and ICs. This enables consistent, system-wide interpolation tuning and reduces manual reconfiguration across runs. Tested on Cray with the advecting_cone example. Commit fc46d8d98a6a85a3df9d86dda73bf21aaa9f8e06. - In-situ data streaming with ADIOS2 and improved initialization: added a data_streamer simcomp and in-situ setup; init now derives from the field/msh context instead of fluid coef/dofmap for robustness; early checks guard ADIOS2 initialization. Demonstrated GPU and LUMI readiness. Commits a8e7d527b8210116e2e84de592c96e215c7f541e and 0c15f734ebecaa0bfef175264618342d4c68f4ac. - Field_subsampler component for registry-based field generation: enables creating new fields via point_zone masking or polynomial_order, exposing results to downstream components (e.g., data_streamer) and illustrating through demos. Commit e763b10facddbaa1a2b600b4127df3e38ddb785b. - CSV-based 1D statistics reader and weighted averages: reads statistics CSV, computes weighted field averages, and outputs to a new CSV for streamlined post-processing and validation. Commit e495d35e9301e62ca0158713d7fb3f0cb26cb0e4. - Memory management improvements for neko_simcomps: frees memory for neko_simcomps ahead of other resources to prevent leaks, with notes to propagate to other areas as needed. Commit 1e8ae447c1aa80349661691fe38b09311414a6e7. Major bugs fixed (quality and reliability): - Proactive memory cleanup to prevent leaks in neko_simcomps, improving stability on long-running runs. - Initialization robustness for the data streamer thrown if ADIOS2 is not initialized; ensured initialization uses field/subfield context to avoid mismatches with subsamplers. Overall impact and accomplishments: - Improved reproducibility and safety of experiments through JSON-driven configuration and standardized defaults. - Enhanced data throughput and observability via ADIOS2-based in-situ streaming and robust field registry interactions. - Reduced runtime risk and memory footprint, enabling larger-scale runs with GPUs/LUMI support. - Clear traceability of changes through commit messages and code documentation, enabling easier onboarding and maintenance. Technologies and skills demonstrated: - ADIOS2 in-situ streaming, field registry and dofmap handling, and data streamer patterns. - JSON/configuration design, including default handling and helper utilities. - Fortran-based componentization and modernization, with attention to memory management and initialization order. - End-to-end validation on HPC systems (Cray, GPUs, LUMI) and code documentation. Notes: - Several breaking changes were introduced to initial conditions and interpolation configuration; downstream components and workflows should be updated accordingly for 2026-04 deployments.
9 Commits • 7 Features
Apr 1, 2026April 2026 (2026-04) focused on increasing configurability, reliability, and data I/O capabilities for ExtremeFLOW neko, delivering features that enable safer experimentation, scalable data streaming, and better observability while tightening resource management. Key features delivered (business and technical impact): - Global interpolation configuration via JSON with breaking changes: exposed tolerance and padding in a user-facing subdict, added defaults and double-precision handling, and introduced a JSON-based initialization path for probes and ICs. This enables consistent, system-wide interpolation tuning and reduces manual reconfiguration across runs. Tested on Cray with the advecting_cone example. Commit fc46d8d98a6a85a3df9d86dda73bf21aaa9f8e06. - In-situ data streaming with ADIOS2 and improved initialization: added a data_streamer simcomp and in-situ setup; init now derives from the field/msh context instead of fluid coef/dofmap for robustness; early checks guard ADIOS2 initialization. Demonstrated GPU and LUMI readiness. Commits a8e7d527b8210116e2e84de592c96e215c7f541e and 0c15f734ebecaa0bfef175264618342d4c68f4ac. - Field_subsampler component for registry-based field generation: enables creating new fields via point_zone masking or polynomial_order, exposing results to downstream components (e.g., data_streamer) and illustrating through demos. Commit e763b10facddbaa1a2b600b4127df3e38ddb785b. - CSV-based 1D statistics reader and weighted averages: reads statistics CSV, computes weighted field averages, and outputs to a new CSV for streamlined post-processing and validation. Commit e495d35e9301e62ca0158713d7fb3f0cb26cb0e4. - Memory management improvements for neko_simcomps: frees memory for neko_simcomps ahead of other resources to prevent leaks, with notes to propagate to other areas as needed. Commit 1e8ae447c1aa80349661691fe38b09311414a6e7. Major bugs fixed (quality and reliability): - Proactive memory cleanup to prevent leaks in neko_simcomps, improving stability on long-running runs. - Initialization robustness for the data streamer thrown if ADIOS2 is not initialized; ensured initialization uses field/subfield context to avoid mismatches with subsamplers. Overall impact and accomplishments: - Improved reproducibility and safety of experiments through JSON-driven configuration and standardized defaults. - Enhanced data throughput and observability via ADIOS2-based in-situ streaming and robust field registry interactions. - Reduced runtime risk and memory footprint, enabling larger-scale runs with GPUs/LUMI support. - Clear traceability of changes through commit messages and code documentation, enabling easier onboarding and maintenance. Technologies and skills demonstrated: - ADIOS2 in-situ streaming, field registry and dofmap handling, and data streamer patterns. - JSON/configuration design, including default handling and helper utilities. - Fortran-based componentization and modernization, with attention to memory management and initialization order. - End-to-end validation on HPC systems (Cray, GPUs, LUMI) and code documentation. Notes: - Several breaking changes were introduced to initial conditions and interpolation configuration; downstream components and workflows should be updated accordingly for 2026-04 deployments.
April 2026
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 (ExtremeFLOW/neko): Implemented a robust data-import workflow and enhanced initialization and logging, delivering reliable data ingestion, GPU-aware memory handling, and clearer diagnostics. Key work focused on introducing a global import_fields subroutine for fld file reading/interpolation, fixing memory synchronization for pressure in initial conditions, and tightening log message formatting. These changes streamline workflows for operators and boost simulation stability across CPU/GPU paths, with validated builds on GNU Fortran and CUDA (HIP/Cray tests pending).
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 (ExtremeFLOW/neko): Implemented a robust data-import workflow and enhanced initialization and logging, delivering reliable data ingestion, GPU-aware memory handling, and clearer diagnostics. Key work focused on introducing a global import_fields subroutine for fld file reading/interpolation, fixing memory synchronization for pressure in initial conditions, and tightening log message formatting. These changes streamline workflows for operators and boost simulation stability across CPU/GPU paths, with validated builds on GNU Fortran and CUDA (HIP/Cray tests pending).
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ExtremeFLOW/neko. Focused on stabilizing core memory handling, improving observability, and hardening convergence workflows. Delivered targeted fixes and structural enhancements across memory management, registry-based statistics, and interpolation control to boost reliability and actionable insights for users and developers.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for ExtremeFLOW/neko. Focused on stabilizing core memory handling, improving observability, and hardening convergence workflows. Delivered targeted fixes and structural enhancements across memory management, registry-based statistics, and interpolation control to boost reliability and actionable insights for users and developers.
February 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focused on delivering a core CFD stability enhancement in ExtremeFLOW/neko. Key feature implemented: Sponge Source Term for Damping Wave Reflections. This term enables controlled damping of wave reflections in designated regions of the computational domain, improving stability and accuracy of CFD simulations. Commit: 15a559c599789e2b548cf47af6dd11b086377fc9 (Sponge source term (#2139)).
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focused on delivering a core CFD stability enhancement in ExtremeFLOW/neko. Key feature implemented: Sponge Source Term for Damping Wave Reflections. This term enables controlled damping of wave reflections in designated regions of the computational domain, improving stability and accuracy of CFD simulations. Commit: 15a559c599789e2b548cf47af6dd11b086377fc9 (Sponge source term (#2139)).
October 2025
1 Commits
Oct 1, 2025October 2025 highlights for ExtremeFLOW/neko: Stabilized fld file processing by fixing the Fld File Reader Initialization Bug and enhanced observability with improved timing logs. These changes improve data integrity, debugging efficiency, and provide clearer performance signals to drive future optimizations across the fluid dynamics output processing pipeline.
1 Commits
Oct 1, 2025October 2025 highlights for ExtremeFLOW/neko: Stabilized fld file processing by fixing the Fld File Reader Initialization Bug and enhanced observability with improved timing logs. These changes improve data integrity, debugging efficiency, and provide clearer performance signals to drive future optimizations across the fluid dynamics output processing pipeline.
October 2025
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 — ExtremeFLOW/neko: Delivered targeted improvements across the interpolation workflow, build reliability, and device kernel precision. Key changes include refactoring fld_generate_interpolator to a subroutine with pass-by-reference semantics for in-place updates, a HIP build flag typo fix to restore clean HIP backend builds, and introduction of a real_xp data type for higher-precision device computations. These efforts improve maintainability, reduce build-time failures, and enhance numerical accuracy in GPU-accelerated simulations, delivering business value through more robust software, faster iteration cycles, and better fidelity in HPC workloads.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 — ExtremeFLOW/neko: Delivered targeted improvements across the interpolation workflow, build reliability, and device kernel precision. Key changes include refactoring fld_generate_interpolator to a subroutine with pass-by-reference semantics for in-place updates, a HIP build flag typo fix to restore clean HIP backend builds, and introduction of a real_xp data type for higher-precision device computations. These efforts improve maintainability, reduce build-time failures, and enhance numerical accuracy in GPU-accelerated simulations, delivering business value through more robust software, faster iteration cycles, and better fidelity in HPC workloads.
June 2025
1 Commits
Jun 1, 2025June 2025: Focused on stability and correctness of the visualization pipeline. Delivered a targeted bug fix in ExtremeFLOW/neko that ensures accurate boundary visualization in VisIt by increasing the mesh_checker polynomial order from 2 to 3. This change enhances rendering fidelity for mesh data and reduces user-reported visualization issues.
1 Commits
Jun 1, 2025June 2025: Focused on stability and correctness of the visualization pipeline. Delivered a targeted bug fix in ExtremeFLOW/neko that ensures accurate boundary visualization in VisIt by increasing the mesh_checker polynomial order from 2 to 3. This change enhances rendering fidelity for mesh data and reduces user-reported visualization issues.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ExtremeFLOW/neko. Delivered a key feature enabling user-specified pressure options for the outflow and normal_outflow boundary conditions, enabling flexible pressure profile specification in simulations. Also extended the boundary condition factory to recognize and apply these options and updated the documentation to reflect usage. This work is anchored by commit 160e4bf159ddc8b9fb9979256bb1e92927c59d80, and improves configurability, realism, and onboarding for boundary-driven simulations.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ExtremeFLOW/neko. Delivered a key feature enabling user-specified pressure options for the outflow and normal_outflow boundary conditions, enabling flexible pressure profile specification in simulations. Also extended the boundary condition factory to recognize and apply these options and updated the documentation to reflect usage. This work is anchored by commit 160e4bf159ddc8b9fb9979256bb1e92927c59d80, and improves configurability, realism, and onboarding for boundary-driven simulations.
April 2025
3 Commits • 2 Features
Apr 1, 2025Monthly performance summary for 2025-04 focusing on ExtremeFLOW/neko contributions. Highlights include: boundary condition updates optimization reducing redundant computations by ensuring field_dirichlet_update() runs once per timestep; Cray/LUMI compilation fix for correct source term registration by relocating interface definitions in les_model.f90, simulation_component.f90, and source_term.f90; addition of start_time to probes to delay data collection and exclude initial transients with accompanying documentation and Fortran updates. These changes improve runtime efficiency, correctness of boundary and source-term handling, and data quality for transient analyses. All changes were reviewed and integrated with documentation updates, and are aligned with business value by improving reliability and performance across HPC environments.
3 Commits • 2 Features
Apr 1, 2025Monthly performance summary for 2025-04 focusing on ExtremeFLOW/neko contributions. Highlights include: boundary condition updates optimization reducing redundant computations by ensuring field_dirichlet_update() runs once per timestep; Cray/LUMI compilation fix for correct source term registration by relocating interface definitions in les_model.f90, simulation_component.f90, and source_term.f90; addition of start_time to probes to delay data collection and exclude initial transients with accompanying documentation and Fortran updates. These changes improve runtime efficiency, correctness of boundary and source-term handling, and data quality for transient analyses. All changes were reviewed and integrated with documentation updates, and are aligned with business value by improving reliability and performance across HPC environments.
April 2025
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ExtremeFLOW/neko: Focused feature delivery around restart handling and essential maintenance to improve reliability, data integrity, and user productivity. Delivered a robust restart management workflow with per-restart data separation and clear guidance, plus targeted code and build improvements to reduce maintenance overhead.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ExtremeFLOW/neko: Focused feature delivery around restart handling and essential maintenance to improve reliability, data integrity, and user productivity. Delivered a robust restart management workflow with per-restart data separation and clear guidance, plus targeted code and build improvements to reduce maintenance overhead.
November 2024
5 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11 (ExtremeFLOW/neko): Reverted unintended changes to simulation components and clarified output controls to restore a stable state, performed targeted code cleanups to reduce complexity, and improved build and documentation for simulation components and 3D field outputs. These actions enhanced reliability, maintainability, and the developer experience.
5 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11 (ExtremeFLOW/neko): Reverted unintended changes to simulation components and clarified output controls to restore a stable state, performed targeted code cleanups to reduce complexity, and improved build and documentation for simulation components and 3D field outputs. These actions enhanced reliability, maintainability, and the developer experience.
November 2024
October 2024
19 Commits • 7 Features
Oct 1, 2024October 2024 focused on stabilizing defaults, boosting stability, and improving testability and developer experience for ExtremeFLOW/neko. Key outcomes include reliable default configurations for simulation controls, GPU-safe spectral error computations, safer JSON config handling, expanded test coverage, and build/documentation improvements that enhance reproducibility and onboarding for users and developers. The work reduces configuration errors, speeds up iteration, and strengthens the reliability of end-to-end simulations across shared utilities and components.
October 2024
19 Commits • 7 Features
Oct 1, 2024October 2024 focused on stabilizing defaults, boosting stability, and improving testability and developer experience for ExtremeFLOW/neko. Key outcomes include reliable default configurations for simulation controls, GPU-safe spectral error computations, safer JSON config handling, expanded test coverage, and build/documentation improvements that enhance reproducibility and onboarding for users and developers. The work reduces configuration errors, speeds up iteration, and strengthens the reliability of end-to-end simulations across shared utilities and components.
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Quality Metrics
Correctness91.0%
Maintainability89.2%
Architecture88.0%
Performance85.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
C++FortranJSONMarkdownPythonShell
Technical Skills
Boundary condition implementationBuild System ConfigurationBuild SystemsCode CleanupCode FormattingCode RefactoringCode ReversionCode optimizationCommand-line toolsComputational Fluid DynamicsConfigurationConfiguration ManagementData CollectionData Import and InterpolationData Streaming
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