#LINPACK BENCHMARK MATH LIBRARIES UPDATE#
#LINPACK BENCHMARK MATH LIBRARIES PORTABLE#

#LINPACK BENCHMARK MATH LIBRARIES UPDATE#

All of the testing showed we could achieve the highest performance when using both the Intel Compilers and Intel Math Library-even on the AMD system-so these were used them as the base of our benchmarks. Intel Math Kernel Library 11.3 Update 4 Developer Guide Contents of the Intel Optimized LINPACK Benchmark The Intel Optimized LINPACK Benchmark for Linux OS contains the following files, located in the. We also tested various linear algebra libraries including: MKL, AMD Core Math Library (ACML), and libGOTO from the University of Texas. Intel Math Kernel Library 11.3 Update 4 Developer Guide Contents of the Intel Optimized MP LINPACK Benchmark The Intel Optimized MP LINPACK Benchmark includes the entire HPL 2.1 distribution, but with modifications to several files, and files specific to the Intel Optimized MP LINPACK Benchmark. The resulting xhpl executables were used to benchmark the performance of Proteus. Here, we link to makefiles used to compile HPL on Proteus using various combinations of the available compilers, math libraries, and MPI implementations.

#LINPACK BENCHMARK MATH LIBRARIES PORTABLE#

Instead of just settling on Intel's toolkit we tried various compilers including: Intel, GNU compilers, and Portland Group. High Performance Linpack (HPL) is a portable implementation of the standard Linpack benchmark. Shane Corder, Advanced Clustering, (also carried by HPCWire: Benchmark Challenge: Nehalem Versus Istanbul): вЂњIn our recent testing and through real world experience, we have found that the Intel compilers and Intel Math Kernel Library (MKL) usually provide the best performance. , avx/noavx:Intel(R) Math Kernel Library 11.3.004 for Linux OS.An independent assessment of the two libraries is posted here: ( ) Intel MKL is also optimized for both Intel and AMD processors and has an active user forum you can turn to for help or guidance.

Intel MKL and ACML have similar APIs but MKL has a richer set of supported functionality including BLAS (and CBLAS)/LAPACK/FFTs/Vector and Statistical Math/Sparse direct and iterative solvers/Sparse BLAS, and so on. IntelВ® Optimized LINPACK Benchmark for Linux Contents Running the Software Known Limitations IntelВ® Distribution for LINPACK Benchmark.

Linpack benchmark math libraries