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Experiments
We recommend using the downward package for running Fast Downward experiments. It is part of lab, a python library for running code on large benchmark sets. Experiments can be run either locally or on a computer cluster. You can find the code at https://bitbucket.org/jendrikseipp/lab. The documentation is available at http://lab.rtfd.org.
Experiments on Maia (AI-Basel grid)
Please follow the instructions in the downward tutorial to install the necessary components.
The components need some environment variables and program modules. Here is an example ~/.profile file (from May 2016):
1 export PATH=${PATH}:~/bin # You can put the "validate" executable here
2 export PYTHONPATH="~/lib/python/lab:~/lib/cplex/CPLEX_Studio/cplex/python/x86-64_sles10_4.1/"
3
4 export DOWNWARD_CPLEX_INCDIR=~/lib/cplex/cplex/include/ilcplex
5 export DOWNWARD_CPLEX_LIBDIR=~/lib/cplex/cplex/lib/x86_sles10_4.1/static_pic
6 export DOWNWARD_CPLEX_ROOT=~/lib/cplex/cplex
7 export DOWNWARD_COIN_ROOT=~/lib/coin
8
9 module purge
10 module -q load Mercurial/2.5.2-goolf-1.4.10-Python-2.7.5 # Also loads Python 2.7
11 module -q load Clang/3.3-GCC-4.8.2 # Also loads GCC 4.8
12 module -q load CMake/2.8.11-GCC-4.8.2