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Update VectorVolumeIntegral in VolumeIntegrals monitor to run in acc. ScalarVolumeIntegral stills need to be updated.
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…s3d-gpu into epicure_preprocess
- Changed pos variable type from integer to integer(kind=AddrInt) - Updated position calculation to use AddrInt literals to prevent overflow - Added safety guards to validate file position is within valid range - Added fsize_bytes variable to track file size for validation Co-authored-by: loganoz <10628217+loganoz@users.noreply.github.com>
…onsistency - Move inquire statement outside loop for better performance - Use AddrInt literal in sensor position calculation for consistency Co-authored-by: loganoz <10628217+loganoz@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…rection - Changed position validation to report errors instead of silently correcting - This helps debug position calculation issues if they occur Co-authored-by: loganoz <10628217+loganoz@users.noreply.github.com>
…HOPR hdf5 meshes Co-authored-by: zalbanob <171132623+zalbanob@users.noreply.github.com> Co-authored-by: Gonzalo Rubio <g.rubio@upm.es>
…does not have that many slots available
A lupdate
Fix faces allocations
Parallel read-in for HOPR hdf5 meshes (after partitioning)
Add manual GPU workflows
Add server time guard for pending GPU jobs
OMP directive fixes
AbbBallout
approved these changes
Feb 13, 2026
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Summary main changes (develop → main)
Added major GPU capabilities, including iNS solver support, wall model implementation, and improved GPU workflows and stability.
Implemented full parallel HDF5 read support, improving scalability, robustness, and handling of large meshes.
Introduced ChannelForcing module with GPU compatibility and added new validation cases (channel flow, wall function, Ducros test).
Improved MPI performance, memory usage, and mesh partitioning, enhancing scalability and efficiency.
Expanded CI infrastructure with parallel HDF5, GPU workflows, and additional automated tests, increasing reliability and coverage.