![]() Install command-line tools: Open the Xcode application and install command-line tools (Preferences > Downloads > Command Line Tools).Note: make sure to create your own Apple credentials and use them to log in to the App Store when downloading Xcode, so that MAC can identify you as the same logged-in user. If Xcode is not pre-installed on your Mac, you can install it using Apple's Mac App Store, or from.XCode: (Required prerequisite for the following recommended GNU compilers).Choose option to install to /usr/local/bin when asked. CMake: Download and install CMake 2.8.12 or newer 2.x Darwin universal DMG from.We offer it in hopes it is useful, though it is not the only and perhaps not the fastest way to meet the requirements. This example is a representative way to satisy Dakota dependencies on Mac OS X Mountain Lion, Mavericks, or Sierra. Last verified October 2014 on Mavericks, 10.9.x March 2015 on Mountain Lion, 10.8.x September 2017 on Sierra, 10.12. Mavericks (10.9.x): clang front-end to LLVM success using gfortran from home-brew.Needed CMAKE_CXX_FLAGS=-fdelayed-template-parsing.Mountain Lion (10.8.x): gcc front-end to LLVM success mixing tool chains using /usr/bin/gcc, /usr/bin/g++ and /usr/local/bin/gfortran from.If attempting to use system-installed LLVM compiler, make sure to build boost, MPI, etc. ![]() You may alternately choose to satisfy Dakota's requirements via your package manager such as Fink, Homebrew, MacPorts, etc., but must use a consistent toolchain throughout the TPL and Dakota build processes.Moreover, not all Dakota packages (most notably Acro) support LLVM/Clang, which is the default system compiler in more recent versions of OS X.Take care not to errantly configure Dakota with a mixture of system-provided gcc or clang, and your custom-installed tools. Apple provides C and C++ compilers with the operating system and XCode Command Line Tools however they do not offer a Fortran compiler, and it can be challenging to install a compatible one.OpenMPI: compile from source if desired.Linear Algebra: stock OS X vecLib Framework suffices.Boost 1.50.0 or newer (1.53.0 recommended): compiled from source using the above compilers (not system compilers).GNU compilers, including gcc, g++, and gfortran from.CMake 2.8.12 or newer: install DMG binary.It is necessary to instruct brew to build Boost from source using the gcc-5 compiler.īrew install -build-from-source -cc=gcc-5 Optional (needed for message-passing parallelism): Install OpenMPI 1.6, building it from source, too.īrew install -build-from-source -cc=gcc-5 Optional (needed to use bayes_calibration queso): GSL 1.16 from source.īrew install -build-from-source -cc=gcc-5 Using the Historical MethodĪn example system setup process follows. In general, we satisfy Dakota's requirements with the following: ![]()
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