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The following compilers are available on the ZIH system:

GNU Compiler Collection Intel Compiler PGI Compiler (Nvidia HPC SDK)
Further information GCC website C/C++, Fortran PGI website
Module name GNU intel PGI
C Compiler gcc icc pgcc
C++ Compiler g++ icpc pgc++
Fortran Compiler gfortran ifort pgfortran

For an overview of the installed compiler versions, please use module spider <module name> on the ZIH systems.

All compilers support various language standards, at least up to ISO C11, ISO C++ 2014, and Fortran 2003. Please check the man pages to verify that your code can be compiled.

Please note that the linking of C++ files normally requires the C++ version of the compiler to link the correct libraries.

Compiler Flags

Common options are:

  • -g to include information required for debugging
  • -pg to generate gprof-like sample-based profiling information during the run
  • -O0, -O1, -O2, -O3 to customize the optimization level from no (-O0) to aggressive (-O3) optimization
  • -I to set search path for header files
  • -L to set search path for libraries

Please note that aggressive optimization allows deviation from the strict IEEE arithmetic. Since the performance impact of options like -fp-model strict is very hard you have to balance speed and desired accuracy of your application yourself.

The user benefits from the (nearly) same set of compiler flags for optimization for the C, C++, and Fortran-compilers. In the following table, only a couple of important compiler-dependent options are listed. For more detailed information about these and further flags, the user should refer to the man pages or use the option --help to list all options of the compiler.

GCC Intel PGI Description
-fopenmp -fopenmp -mp turn on OpenMP support
-std=c99, -std=c++11, -std=f2018 -std=c99, -std=c++11, -std18 -c99, --c++11, n/a set language standard, for example C99, C++11, Fortran 2018
-mieee-fp -frounding-math -fp-model precise or -fp-model strict -Kieee limit floating-point optimizations and maintain declared precision
-ffast-math -mp1 or -fp-model fast -Mfprelaxed allow floating-point optimizations, may violate IEEE conformance
-Ofast -fast -fast Maximize performance, implies a couple of other flags
-fsignaling-nans -fno-trapping-math C/C++: -fpe-trap, Fortran: -fpe-all -Ktrap controls the behavior when floating-point exceptions occur
-mavx -msse4.2 -mavx -msse4.2 -fastsse "generally optimal flags" for supporting SSE instructions
-flto -ipo -Mipa interprocedural / link-time optimization (across source files)
-floop-parallelize-all -ftree-parallelize-loops=<numthreads> -parallel -Mconcur auto-parallelizer
-fprofile-generate -prof-gen -Mpfi create instrumented code to generate profile in file
-fprofile-use -prof-use -Mpfo use profile data for optimization


We can not generally give advice as to which option should be used. To gain maximum performance please test the compilers and a few combinations of optimization flags. In case of doubt, you can also contact HPC support and ask the staff for help.

Architecture-specific Optimizations

Different architectures of CPUs feature different vector extensions (like SSE4.2 and AVX) to accelerate computations. The following matrix shows proper compiler flags for the architectures at the ZIH:

Architecture GCC Intel PGI
Intel Haswell -march=haswell -march=haswell -tp=haswell
AMD Rome -march=znver2 -march=core-avx2 -tp=zen
Intel Cascade Lake -march=cascadelake -march=cascadelake -tp=skylake
Host's architecture -march=native -xHost

To build an executable for different node types (e.g. Cascade Lake with AVX512 and Haswell without AVX512) the option -march=haswell -axcascadelake (for Intel compilers) uses vector extension up to AVX2 as default path and runs along a different execution path if AVX512 is available. This increases the size of the program code (might result in poorer L1 instruction cache hits) but enables to run the same program on different hardware types.