Gentoo automated bechmarks
9 June 2011 2 Comments
This document explains how to run it and refers to the git repository status as of 4 july 2011.
You can install the project by just cloning the git repository: git clone git://git.overlays.gentoo.org/proj/auto-numerical-bench. You will also need:
- A python interpreter at version 2.6 or 2.7;
- The portage and gentoolkit package;
- Only the new style eselect with alternatives is supported, so you will need the bicatali ovelay;
- For the graphical reports you will also need matplotlib (compiled with libpng) and numpy;
- The packages can be tested only if they already have all the dependencies installed; so, if you want to test eigen, for instance, you will need to install all the dependencies before.
The script generates binary packages running portage with a special environment. Then emerges the packages individually in a directory, compiles a standard benchmarking program, runs it and collects the results. A single package can be emerged many times with different compiler flags or compilers. For example, one could test sci-libs/atlas-3.9.41 3 times:
- Using gfortran-4.5.2 with FFLAGS=-O3
- Using gfortran-4.6.0 with FFLAGS=”-O2 fschedule-insns”
- Using ifort (whatever version) with standard FFLAGS
atlas-gcc-452 sci-libs/atlas-3.9.41 FC=gfortran-4.5.2 FFLAGS=-O3 atlas-gcc-460 sci-libs/atlas-3.9.41 FC=gfortran-4.6.0 FFLAGS="-O2 fschedule-insns" atlas-icc sci-libs/atlas-3.9.41 FC=ifort
- The first part is a string of alphanumeric characters that identifies the configuration.
- The second part is the package to test; in the example it is fully qualified through category/package-version, but it is not mandatory, although it is the best procedure. In case of ambiguity (e.g. more installable versions) every package is installed and tested separately. For example, sci-libs/atlas would test both sci-libs/atlas-3.8.4 and sci-libs/atlas-3.9.41
- Everything after the package is is the environment to use while emerging the package.
python2 main.py [library] [conffile] [tests]
- [library] can be
- blas – currently supported
- cblas - currently supported
- lapack – currently supported
- [conffile] is the described configuration file
- [tests] is a list of tests to be performed during the benchmark. For blas and cblas the following tests are available:
- Level 1:
- axpy – standard
- Level 2:
- matrix_vector – standard
- trisolve_vector - standard
- Level 3:
- matrix_matrix – standard
- For lapack the following are available:
- general_solve: solves a general quadratic linear system of equations
- lu_decomp: computes the full-pivoting LE decomposition of a general quadratic matrix
- least_squares: solves the least squares problem (for the benchmarks a quadratic matrix is considered)
- cholesky: computes the cholesky decomposition of a SPD matrix
- symm_ev: computes the eigenvalues of a symmetric matrix
The script can be runned as standard or super user. In the first case the packages will be stored into ~/.benchmarks/packages; in the latter, the packages are stored into /var/cache/benchmarks/packages. In both cases, the tests are runned into /var/tmp/benchmarks/roots and the temporary results stored into /var/tmp/benchmarks/tests.
Log files are stored within /var/log/benchmarks. There you will find a directory for every time you runned the script. Almost everything is logged.
The results are stored within /var/cache/benchmarks/results if the user is root and within ~/.benchmarks/results otherwise. If the switch -s is given also a summary plot is generated. If the switch -S is given, only the summay plot is generated. The results include a plot as PNG image for every operation, the summary image if required and an HTML page with all the plots.