Emily Boudreaux
442d4ed86c
Previously QSE solving was done using Eigen. While this worked we were limited in the ability to use previous iterations to speed up later steps. We have switched to KINSOL, from SUNDIALS, for linear solving. This has drastically speed up the process of solving for QSE abundances, primarily because the jacobian matrix does not need to be generated every single time time a QSE abundance is requested.
48 lines
1.3 KiB
Meson
48 lines
1.3 KiB
Meson
cmake = import('cmake')
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cvode_cmake_options = cmake.subproject_options()
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cvode_cmake_options.add_cmake_defines({
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'CMAKE_CXX_FLAGS' : '-Wno-deprecated-declarations',
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'CMAKE_C_FLAGS' : '-Wno-deprecated-declarations',
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'BUILD_SHARED_LIBS' : 'ON',
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'BUILD_STATIC_LIBS' : 'OFF',
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})
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cvode_cmake_options.add_cmake_defines({
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'CMAKE_INSTALL_LIBDIR': get_option('libdir'),
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'CMAKE_INSTALL_INCLUDEDIR': get_option('includedir')
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})
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cvode_sp = cmake.subproject(
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'cvode',
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options: cvode_cmake_options,
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)
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# For the core SUNDIALS library (SUNContext, etc.)
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sundials_core_dep = cvode_sp.dependency('sundials_core_shared')
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# For the CVODE integrator library
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sundials_cvode_dep = cvode_sp.dependency('sundials_cvode_shared')
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# For the serial NVector library
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sundials_nvecserial_dep = cvode_sp.dependency('sundials_nvecserial_shared')
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# For the dense matrix library
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sundials_sunmatrixdense_dep = cvode_sp.dependency('sundials_sunmatrixdense_shared')
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# For the dense linear solver library
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sundials_sunlinsoldense_dep = cvode_sp.dependency('sundials_sunlinsoldense_shared')
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cvode_dep = declare_dependency(
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dependencies: [
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sundials_core_dep,
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sundials_cvode_dep,
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sundials_nvecserial_dep,
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sundials_sunmatrixdense_dep,
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sundials_sunlinsoldense_dep,
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],
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)
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