docker pull hguo15/hifptuner:vo
docker run -ti --name=hifptuner hguo15/hifptuner:vo

git clone https://github.com/ucd-plse/HiFPTuner.git
cd HiFPTuner
docker build -t docker-hifptuner .
docker run -ti --name=hifptuner docker-hifptuner

1. llvm 3.0 & 3.8

2. Precimonious
    repo.: https://github.com/ucd-plse/precimonious 

3. NetworkX 2.2 python package
    install: pip install 'networkx==2.2'
    repo.:   https://github.com/networkx/networkx

4. Community python package
    install: pip install python-louvain
    repo.: https://bitbucket.org/taynaud/python-louvain

5. pygraphviz and other graph python packages
    pip install graphviz
    pip install pygraphviz
    apt-get install python-matplotlib
    apt-get install libgraphviz-dev
    apt-get install python-dev

1. git clone https://github.com/ucd-plse/HiFPTuner.git
2. cd HiFPTuner/precimonious/logging
3. make clean; make
4. switch to llvm 3.8
   in the docker image of HiFPTuner, switching to llvm 3.8 as following, 
   4.1 modify ~/.bashrc: $LLVM_VERSION=llvm-3.8
   4.2 . ~/.bashrc
5. cd HiFPTuner/src/varDeps
6. make clean; make

1. $cd HiFPTuner/examples/simpsons

2. generate llvm_3.0 bitcode file
    switch to llvm 3.0
    $clang -c -emit-llvm simpsons.c -o simpsons.bc
    $path/to/HiFPTuner/scripts/compile.sh simpsons.bc

3. Run llvm analysis and transformation passes to attain the dependence graph
    switch to llvm 3.8
    $path/to/HiFPTuner/scripts/analyze.sh json_simpsons.bc
    (Check outputs: "varDepPairs_pro.json" and "edgeProfilingOut.json" for the dependece pairs and edge weights.)

4. Run Networkx and community packages to attain the unsorted and sorted hierarchy
    $path/to/HiFPTuner/scripts/config.sh
    (Check outputs: "partition.json", "sorted_partition.json" and "topolOrder_pro.json" for the unsorted hierarchy, sorted hierarchy and the topological ordered variable list)
    (Also, check varDepGraph_pro.png for the visualized dependence graph)

1. switch to llvm 3.0

2. create current precision configuration file
  $path/to/HiFPTuner/precimonious/scripts/pconfig.sh simpsons .

3. create search space
  $path/to/HiFPTuner/precimonious/scripts/search.sh simpsons .

4. dynamic tuning
  $python -O path/to/HiFPTuner/precimonious/scripts/dd2_prof.py simpsons.bc search_simpsons.json config_simpsons.json sorted_partition.json