Arm Performance Libraries

Arm Performance Libraries provide optimized standard core math libraries for high-performance computing applications on Arm 64-bit AArch64-based processors.

A licensed version of Arm Performance Libraries is available as part of Arm Allinea Studio. The licensed version is compatible with Arm Compiler for Linux and GCC compilers, comes with technical support from Arm, and includes optimized libraries for multiple Arm-based microarchitectures.

Arm Allinea Studio (licensed) version:
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A free of charge version of Arm Performance Libraries is available without a license. The free of charge version is compatible with GNU Compiler Collection (GCC) compilers and includes optimized libraries for Neoverse N1-based servers.

Free of charge version:

Routines and benchmarks

BLAS, LAPACK, FFT and Math routines

The library routines, which are available through both Fortran and C interfaces, include:

  • BLAS - Basic Linear Algebra Subprograms (including XBLAS, the extended precision BLAS).
  • LAPACK 3.9.0 - a comprehensive package of higher level linear algebra routines.
  • FFT functions - a set of Fast Fourier Transform routines for real and complex data using the FFTW interface.
  • Sparse linear algebra.
  • libamath - a subset of libm, which is a set of optimized mathematical functions.

Arm Performance Libraries are built with OpenMP across many BLAS, LAPACK, FFT, and sparse routines to maximize your performance in multi-processor environments.


User tasks

Port your applications to Arm

Arm provides two porting guides that describe how to port and optimize your applications for Arm (and Arm SVE), in the context of High Performance Computing (HPC):

Find community-ported applications

Application, mini-application, and benchmark porting recipes are available in the Arm GitLab repository.

The Arm GitLab repository is maintained by Arm, but it is community driven so anyone can join and contribute.

Arm GitLab repository

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    The support team are ready to help if you have any questions or problems using Arm Performance Libraries.

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