AMD Core Math Library (ACML) is an end-of-life[1] software development library released by AMD, replaced by many open source libraries, including AMD libm 4.0. This library provides mathematical routines optimized for AMD processors.
The successor to ACML is the AMD Optimizing CPU Libraries (AOCL), a set of mostly open source libraries compiled for AMD64 processors. It includes the open source BLIS, libFLAME, ScaLAPACK, FFTW, and AOCL-Sparse, plus the original closed-source AMD LibM, memcpy, and RNG.[2]
Features
editACML consists of the following main components:[3]
- A full implementation of Level 1, 2 and 3 Basic Linear Algebra Subprograms (BLAS), with optimizations for AMD Opteron processors.
- A full suite of Linear Algebra (LAPACK) routines.
- A comprehensive suite of Fast Fourier transform (FFTs) in single-, double-, single-complex and double-complex data types.
- Fast scalar, vector, and array math transcendental library routines
- Random Number Generators in both single- and double-precision
Supported platforms
editAMD offers pre-compiled binaries for Linux, Solaris, and Windows available for download. Supported compilers include GNU Fortran, Intel Fortran Compiler, Microsoft Visual Studio, NAG, PathScale, PGI compiler, and Sun Studio.[4]
License
editACML has a proprietary freeware license. The library is distributed in binary form free of charge, but cannot be freely redistributed.[5][6]
See also
edit- GPUOpen - Open-source software suite for visual effects, HPC, and GPGPU
- Framewave - formerly the AMD Performance Library
- Open64 - AMD has an Open64 compiler distribution that can be used with ACML
- Math Kernel Library (MKL)
References
edit- ^ AMD Core Math Library Product Features[dead link ]
- ^ "AMD Optimizing CPU Libraries (AOCL)". AMD.
- ^ "ACML". Archived from the original on 2014-10-15. Retrieved 2014-10-19.
- ^ ACML Downloads & Resources[dead link ]
- ^ Redistribution Agreements Archived 2014-10-15 at the Wayback Machine, ACML Redistribution Agreements
- ^ ACML EULA, End-user license agreement
External links
edit- Streaming Computing (User Guide)
- Replacement: AMD Math Library (LibM), github