ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. It depends on external libraries including BLAS and LAPACK for Linear Algebra computations. AMD’s optimized version of ScaLAPACK enables using BLIS and libFLAME library that have optimized dense matrix functions and solvers for AMD EPYCTM processor family CPUs.
Highlights of AMD Scalapack 2.2
- Upgraded to 2.1.0 specification of Netlib ScaLAPACK
- New re-designed algorithm for double precision LU Factorization
The package containing Scalapack Library binaries which includes optimizations for the AMD EPYCTM processor family, examples and documentation are available in the Downloads section below.
Source code is available on GitHub https://github.com/amd/scalapack
Note: Below binary packages are generated and validated with following configuration. If user needs to use with other configuration, we recommend to build the required library from source as per instructions provided in user guide.
OS ( 18.04) , GCC ( 9.3), AOCC ( 2.2), OpenMPI(3.1.1), OpenMP(4.5), Glibc(2.27), Python(2.7)