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=== Link-Time | Keep in mind that all the symbols referenced in the statically linked library need to be resolved during linking. Thus, additional statically linked libraries may be required. | ||
=== Link-Time Optimization (LTO)=== | |||
This technique allows the compiler to optimize the code at link time. During this, further rearrangement of the code from separate object files is performed. | This technique allows the compiler to optimize the code at link time. During this, further rearrangement of the code from separate object files is performed. | ||
Revision as of 14:09, 2 November 2019
We highly recommend to try as much different compilers as possible and compare the performance of the generated code! If you code according to language standards, this is almost for free but can give you a significant speedup! There is no such thing as an "ideal" compiler! One suites better to application A, one suites better to application B (cf. Best Practice Guide AMD EPYC (Naples)).
Please note that compilers do not use optimization flags by default at the moment. Hence, please refer to Compiler Options Quick Reference Guide and set the respective flags on your own (with znver1 for Naples and znver2 for Rome nodes). Compiler Usage Guidelines for AMD64 Platforms might also be a source of inspiration w.r.t. optimization flags.
Compilers
GNU
Make sure to load a more up to date version of the GNU Compiler Collection than the one preinstalled in the system
module load compiler/gnu/9.1.0
Then compile with
<compiler> -march=znver2
AOCC
AOCC is the AMD Optimizing C/C++ Compiler based on LLVM. It contains a Fortran compiler (flang) as well.
Load aocc module
module load compiler/aocc/2.0.0
Compile with
clang/clang++/flang -march=znver2
AOCC comes with a couple of exclusive compiler flags that are not part of LLVM and allow more aggressive optimizations, they are listed in the C/C++ and Fortran compiler manual.
Intel
Please use
<compiler> -march=core-avx2
and do not use
<compiler> -xCORE-AVX2
since the latter might give very bad performance!
PGI
With respect to PGI, we recommend to use
<compiler> -tp=zen -O3
Compiler Options for High Performance Computing
This section shows compiler flags for GNU-compatible compilers (gnu, aocc, intel), other compilers may have other options for the described functionality.
Static Builds
Large jobs with thousands of processes can overload the file systems connected to the cluster during startup if the binary is linked to (many) shared libraries.
To avoid this issue and to also improve the performance by reducing the overhead from function calls from shared libraries, static builds are recommended.
During link-time, you can set the compiler to prefer static libraries over shared libraries if both are found in the library search path with
# Link libm statically if available, set back to prefer shared libraries again after (default) <compiler> ... -Wl,-Bstatic -lm -Wl,-Bdynamic
You can also specify a static library filename in the library search path directly
# Staticaclly link libm.a <compiler> ... -l:libm.a
Keep in mind that all the symbols referenced in the statically linked library need to be resolved during linking. Thus, additional statically linked libraries may be required.
Link-Time Optimization (LTO)
This technique allows the compiler to optimize the code at link time. During this, further rearrangement of the code from separate object files is performed.
The option needs to be set at compile time and link time:
# Compile with LTO in mind <compiler> -flto -o component1.o -c component1.c <compiler> -flto -o component2.o -c component2.c # Link with LTO <compiler> -flto -o program component1.o component2.o
Profile Guided Optimization
TODO