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Giacomo Mulas
NP_TMcode
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f70e90002be690977e1afa086e94110def4369d6
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18
3-error-in-run-the-program
containers
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NP_TMcode-M10a.02
NP_TMcode-M10a.01
NP_TMcode-M10a.00
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v0.0
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Create a model_maker python script
Merge master with HDF5 output
Merge branch 'wrap_output' into 'master'
Update latest np_sphere HDF5 test output
Use explicit pointers to hande ParticeDescriptor tests
Update definition of SphereIterationData structure
Use SphereOutputInfo and implement wavelength parallelism in np_sphere
Use detected number of parameters in first DEDFB line to discriminate application type
Move GCS to variable to shared ParticleDescriptor section
Update comments in CLUSTER and return MPI_Init() result as exit code
Force 1 OMP thread to test np_sphere
Add unit tests for SphereOutputInfo
Move InclutionIterationData header in the IterationData headers file
Reconstruct angle vectors when building InclusionOutputInfo from HDF5
Use HDF5 file without angle vectors for testing
Move ClusterIterationData out of Commons module
Implement SphereOutputInfo class and use it in np_sphere
Define SphereOutputInfo headers
Update README information on parallel implementation
Merge branch 'wrap_output' into 'master'
Add inclusion testing to gitLab pipeline
Fix configuration index bug in legacy output
Fix pycompare exit code if C++ produces empty file
Add HDF5 test output for inclusion
Use InclusionOutputInfo in np_inclusion
Add IAVM debug comment tag
Update parallel description comments
Add a test for inclusion outputs to pipeline
Prepare pipeline to execute separate tests for output
Implement InclusionOutputInfo class
Fix typo in inclusion formatted output
Add missing inline documentation tags
Merge branch 'wrap_output' into 'master'
Ensure that threads without input data get no output pointers
Update pipeline to test outputs and 48 case with OpenMP
Prepare valgrind output tests
Add pre-computed HDF5 file for output consistency check
Add HDF5 ClusterOutputInfo constructor
Initialize thread-local outputs only when actually needed
Implement ClusterOutputInfo::write_hdf5() and use it in np_cluster
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