~linaro-toolchain-dev/cortex-strings/trunk

#!/usr/bin/env python

"""Plot the performance of different variants of one routine versus alignment.

"""

import libplot

import pylab

def plot(records, bytes, function):

    records = [x for x in records if x.bytes==bytes and x.function==function]

    variants = libplot.unique(records, 'variant', prefer='this')

    alignments = libplot.unique(records, 'alignment')

    X = pylab.arange(len(alignments))

    width = 1.0/(len(variants)+1)

    colours = iter('bgrcmyk')

    pylab.figure(1).set_size_inches((16, 12))

    pylab.clf()

    for i, variant in enumerate(variants):

        heights = []

        for alignment in alignments:

            matches = [x for x in records if x.variant==variant and x.alignment==alignment]

            if matches:

                match = matches[0]

                heights.append(match.bytes*match.loops/match.elapsed/(1024*1024))

            else:

                heights.append(0)

        pylab.bar(X+i*width, heights, width, color=colours.next(), label=variant)

    axes = pylab.axes()

    axes.set_xticklabels(alignments)

    axes.set_xticks(X + 0.5)

    pylab.title('Performance of different variants of %(function)s for %(bytes)d byte blocks' % locals())

    pylab.ylabel('Rate (MB/s)')

    pylab.legend(loc='upper left', ncol=3)

    pylab.grid()

    pylab.savefig('alignment-%(function)s-%(bytes)d.png' % locals(), dpi=72)

def main():

    records = libplot.parse()

    for function in libplot.unique(records, 'function'):

        for bytes in libplot.unique(records, 'bytes'):

            plot(records, bytes, function)

    pylab.show()

if __name__ == '__main__':

    main()