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High performance libraries
High-performance libraries
Various high-performance libraries for dense linear algebra, fast
Fourier transforms, etc. are available via the module system. Many
libraries are provided both as single-threaded and multithreaded
versions, multithreaded modules are designated with omp in the
module version. For pure MPI applications and applications calling
libraries from multiple threads it is recommended to use a single-
threaded library.
Availability of libraries may depend on the loaded compiler suite and
MPI environment, use module avail for finding out available
libraries. See the documentation of the library for
instructions on how to build against it. Note
that most modules set LIBRARY_PATH and LD_LIBRARY_PATH environment
variables so that the -llibrary linker flag is often enough. Most
modules set also <library>_INSTALL_ROOT environment variables that
can be utilized in custom build scripts. As an example, the fftw
library can be used as follows:
and the directory containing include, lib, etc. is found under the
FFTW_INSTALL_ROOT environment variable.
Libraries on Roihu-CPU
Selected libraries available on Roihu-CPU:
- Dense linear algebra:
openblas,amdblis - Dense distributed linear algebra:
netlib-scalapack - Fast Fourier transforms:
fftw
Libraries on Roihu-GPU
Selected libraries available on Roihu-GPU:
- For Grace CPU:
- Dense linear algebra:
nvhpc(includes NVPL),openblas,netlib-lapack - Dense distributed linear algebra:
nvhpc(includes NVPL),netlib-scalapack - Fast fourier transforms:
nvhpc(includes NVPL),fftw - For Hopper GPU:
- CUDA (module
cuda/nvhpc) includes libraries such as cublas, cufft, cusolver, ...
Libraries on Puhti
Selected libraries available on Puhti:
- Dense linear algebra:
intel-oneapi-mkl - Dense distributed linear algebra:
intel-oneapi-mkl,netlib-scalapack - Fast fourier transforms:
fftw
Libraries on Mahti
Selected libraries available on Mahti:
- Dense linear algebra:
openblas,amdblis,amdlibflame - Dense distributed linear algebra:
netlib-scalapack,amdscalapack - Fast fourier transforms:
fftw