annotate yetilab/matrix/test/speedtest.yeti @ 249:1ea5bf6e76b6 sparse

A reasonable sparse multiply, and a bit quicker dense one

program yetilab.matrix.test.speedtest;

mat = load yetilab.matrix.matrix;
vec = load yetilab.vector.vector;

{ compare, compareUsing } = load yetilab.test.test;

compareMatrices = compareUsing mat.equal;

time f =
   (start = System#currentTimeMillis();
    result = f ();
    end = System#currentTimeMillis();
    println " \(end-start)ms";
    result);

makeMatrices sz sparsity =
   (print "Making \(sz) * \(sz) random matrix...";
    m = time \(mat.randomMatrix { rows = sz, columns = sz });
    makeSparse () = 
       (print "Making \(sparsity * 100)% sparse version (as dense matrix)...";
        t = time \(mat.thresholded sparsity m);
        println "Reported density: \(mat.density t) (non-zero values: \(mat.nonZeroValues t))";
        print "Converting to sparse matrix...";
        s = time \(mat.toSparse t);
        println "Reported density: \(mat.density s) (non-zero values: \(mat.nonZeroValues s))";
        s);
    s = makeSparse ();
    println "Making types:";
    print "Col-major dense...";
    cmd = time \(mat.toColumnMajor m);
    print "Row-major dense...";
    rmd = time \(mat.toRowMajor m);
    print "Col-major sparse...";
    cms = time \(mat.toColumnMajor s);
    print "Row-major sparse...";
    rms = time \(mat.toRowMajor s);
    println "";
    { cmd, rmd, cms, rms });

println "\nR * M multiplies:\n";

sz = 2000;
sparsity = 0.98;

{ cmd, rmd, cms, rms } = makeMatrices sz sparsity;

row = mat.newRowVector (vec.fromList (map \(Math#random()) [1..sz]));
col = mat.newColumnVector (vec.fromList (map \(Math#random()) [1..sz]));

print "R * CMD... ";
a = (time \(mat.product row cmd));

print "R * RMD... ";
b = (time \(mat.product row rmd));

print "R * CMS... ";
c = (time \(mat.product row cms));

print "R * RMS... ";
d = (time \(mat.product row rms));

println "\nChecking results: \(compareMatrices a b) \(compareMatrices c d)";

println "\nM * C multiplies:\n";

print "CMD * C... ";
a = (time \(mat.product cmd col));

print "RMD * C... ";
b = (time \(mat.product rmd col));

print "CMS * C... ";
c = (time \(mat.product cms col));

print "RMS * C... ";
d = (time \(mat.product rms col));

println "\nChecking results: \(compareMatrices a b) \(compareMatrices c d)";

println "\nM * M multiplies:\n";

sz = 500;

{ cmd, rmd, cms, rms } = makeMatrices sz sparsity;

print "CMS * CMD... ";
\() (time \(mat.product cms cmd));

print "CMS * RMD... ";
\() (time \(mat.product cms rmd));

print "RMS * CMD... ";
\() (time \(mat.product rms cmd));

print "RMS * RMD... ";
\() (time \(mat.product rms rmd));

println "";

print "CMD * CMS... ";
\() (time \(mat.product cmd cms));

print "CMD * RMS... ";
\() (time \(mat.product cmd rms));

print "RMD * CMS... ";
\() (time \(mat.product rmd cms));

print "RMD * RMS... ";
\() (time \(mat.product rmd rms));

println "";

print "CMS * CMS... ";
\() (time \(mat.product cms cms));

print "CMS * RMS... ";
\() (time \(mat.product cms rms));

print "RMS * CMS... ";
\() (time \(mat.product rms cms));

print "RMS * RMS... ";
\() (time \(mat.product rms rms));

println "";

print "CMD * CMD... ";
\() (time \(mat.product cmd cmd));

print "CMD * RMD... ";
\() (time \(mat.product cmd rmd));

print "RMD * CMD... ";
\() (time \(mat.product rmd cmd));

print "RMD * RMD... ";
\() (time \(mat.product rmd rmd));

();