Building programs that run on an HPC system requires some thought into software, compiling, linking and running.

• USE1 Overview: Cluster Operating System
• USE2 Overview: Running of Parallel Programs

• Build parallel programs, e.g. via open sources packages.
• Run parallel programs in an HPC environment.
• Use a compiler and to assess the effects of optimization switches available for the relevant compilers (e.g. GNU, Intel).
• Use a linker and to assess the effects of linker specific options and environment variables (e.g. -L and LIBRARYPATH, -rpath and LDRUN_PATH).
• Configure the relevant settings (e.g. by setting compiler and linker options), which determine how the application ought to be built with regard to the parallelization technique(s) used (e.g. OpenMP, MPI).
• Use software building environments like make, Autotools, CMake.
• Run parallel programs in an HPC environment.
• Use a compiler and to assess the effects of optimization switches available for compilers commercially available (e.g. PGI, NAG).
• Use efficient open-source libraries (e.g. OpenBLAS, FFTW) or highly optimized vendor libraries (e.g. Intel-MKL, IBM-ESSL).
• Configure the relevant settings (e.g. by setting compiler and linker options), which determine how the application ought to be built with regard to the parallelization technique(s) used (e.g. OpenACC, C++ AMP).
• Use the profile guided optimization (PGO) technique.
• Use software building environments like Scons, Waf, make, Autotools, CMake.