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DRAFT - PageRank Pipeline Benchmark - DRAFT 1. Contents PageRankPipeline/README.txt (this file) PageRankPipeline/doc (documentation) PageRankPipeline/doc/151012-PageRankPipelineBenchmark.pdf (description of benchmark) PageRankPipeline/doc/SerialPerformanceMatlab.pdf (plot of serial matlab performance of benchmark) PageRankPipeline/code (source code) PageRankPipeline/code/Matlab (Matlab source code) PageRankPipeline/code/Octave (Octave source code) PageRankPipeline/code/Julia (Julia source code) PageRankPipeline/code/Python (Python source code) PageRankPipeline/code/R (R source code) PageRankPipeline/code/Java (Java source code) 2. Execution 2.1 Matlab Go to PageRankPipeline/code/Matlab directory. Edit PageRankPipeline/code/Matlab/RunPageRankPipeline.m set SCALE and Nfile variables as desired. Start matlab type RunPageRankPipeline 2.2 Octave Go to PageRankPipeline/code/Octave directory. Edit PageRankPipeline/code/Octave/RunPageRankPipeline.m set SCALE and Nfile variables as desired. Start Octave type RunPageRankPipeline 2.3 Julia Prerequisite: Julia 0.4.0 release Go to PageRankPipeline/code/Julia directory. Edit PageRankPipeline/code/Octave/RunPageRankPipeline.jl set SCALE and Nfile variables as desired. Make sure Julia 0.4.0 version is used. julia RunPageRankPipeline.jl 2.4 Python python runPageRankPipeline.py You will need to install: numpy scipy python-matplotlib E.g., in Fedora 22 do sudo dnf install numpy scipy python-matplotlib 2.4 R 2.5 Java 2.6 C++ $ cd C++ $ make (or "make CXX=icc" if you have the Intel compiler installed) $ ./runpagerankpipeline
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