Linpack benchmark information install#
Linpack benchmark information update#
Linpack benchmark information portable#
Linpack benchmark information software#
Linpack benchmark information code#

Create or update the HPL.dat file that is based on the underlying machine architecture.Д®xamples for running HPL on AMD 2nd Gen EPYC Series and AMD 3rd Gen EPYC Series processors are provided below Running HPL OnВ AMD 2nd Gen EPYC Processors run_hpl_ccx.sh.

Linpack benchmark information code#

Create a bash script in your work directory with the code snippets provided in sections вЂњrun_hpl_ccx.shвЂќ, вЂњappfile_ccxвЂќ and вЂњxhpl_ccx.shвЂќ.

The script вЂњrun_hpl_ccx.shвЂќ requires two additional files: вЂњappfile_ccxвЂќ and вЂњxhpl_ccx.shвЂќ.

Create run scripts ( run_hpl_ccx.sh ) that bind the MPI process to the proper AMD processor Core Complex Die (CCD) or Core Complex (CCX) that are related to their local е…ѓ cache memory.

To add cflags to the Spack environment using command line Please use any combination of below components/Applications and its versions. For GCC version 9 and higher, use вЂњtarget=zen2вЂќ. For GCC version 8 and lower, use вЂњtarget=zenвЂќ. Note that the KNEM вЂњtargetвЂќ option needs to set to the GCC version used. To check the available compilers, use the command вЂњ spack compilersвЂњ. Please change the GCC version in your Spack build command to match the preferred GCC available on your system. In the above commands for the HPL build, KNEM is compiled with GCC 8.3.1 or 9.2. Note:В KNEM is a kernel module which needs to be installed using the GCC compilers always.

Linpack benchmark information install#

$ spack -d install - v +openmp target=zen2 cflags= '-O3' threads=openmp fabrics= 'knem' target=zen2 # Example: For Building HPL-2.3 with AOCC-2.2.0 and AOCL 2.2

$ spack -d install - v +openmp target=zen2 cflags= '-O3' threads=openmp fabrics= 'knem' target=zen # Example: For Building HPL-2.3 with AOCC-2.3.0 and AOCL 2.2 # Example: For Building HPL-2.3 with AOCC-3.0.0 and AOCL 3.0

$ spack -d install - v +openmp target=zen3 cflags= '-O3' threads=openmp fabrics= 'knem' target=zen # Example: For Building HPL-2.3 with AOCC-3.1.0 and AOCL 3.0 $ spack -d install - v +openmp target= cflags= 'CFLAGS' threads=openmp fabrics= 'knem' target= Reference to add external packages to Spack: Build Customization (Adding external packages to Spack) # Format for Building HPL Official Page for HPL : Build HPL using Spack The algorithm used by HPL can be summarized by the following keywords: Two-dimensional block-cyclic data distribution вЂ“ Right-looking variant of the LU factorization with row partial pivoting featuring multiple look-ahead depths вЂ“ Recursive panel factorization with pivot search and column broadcast combined вЂ“ Various virtual panel broadcast topologies вЂ“ bandwidth reducing swap-broadcast algorithm вЂ“ backward substitution with look-ahead of depth 1.

Linpack benchmark information portable#

It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark.

Linpack benchmark information software#

The wizard at can help you create one.HPL is a software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. To run a larger LINPACK benchmark that uses more nodes, CPU cores, or memory, you will need to replace the existing HPL.dat file next to the xhpl binary with a new customized file. Should see a bunch of tests on the screen, with the following summary at the end: Finished 864 tests with the following results:ДЁ64 tests completed and passed residual checks,Д tests completed and failed residual checks,Д tests skipped because of illegal input values. The result of a successful compile should be the creation of the executable located inside the program directory ' bin/GNU_atlas/xhpl' Program Execution - Basics If you screw up and get an error when compiling, make sure to clean out old compilation garbage before trying again: make clean_arch_all arch=GNU_atlas (satlas is the single-threaded version of Atlas, while tatlas is the multi-threaded version)Д¬ompile for that specific architecture. Further, libcblas.a is deprecated - use libtatlas.so instead. We'll be using the MPI compiler wrapper (mpicc) directly which provides this functionД¬hange 4: The BLAS variables () need to point to the correct locations.

Make the following changes to the Makefile:Д¬hange 1: ARCH needs to match the name of the Makefile:Д¬hange 2: TOPdir needs to be set to the folder containing the makefileД¬hange 3: Clear out the MPI variable. (Press 'q' to quit the 'less' text viewer when finished): less INSTALLД¬opy the Linux/Pentium-II Makefile and rename it to something representative of this current build: cp setup/Make.Linux_PII_CBLAS Make.GNU_atlasД®dit Make.Linux_PII_training in your favorite text editor: nano Make.GNU_atlas Don't download/install it on top of your other program! mkdir ~/linpackД¬hange to the program directory: cd hpl-2.1 Load necessary module: module load mpi/openmpi-2.0.2Д¬reate a new directory (inside your home directory) for this program with the 'mkdir' command.