~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, ('src_alignment', 'dst_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.src_alignment==alignment[0] and x.dst_alignment==alignment[1]]

 

            if matches:

                vals = [match.bytes*match.loops/match.elapsed/(1024*1024) for

                        match in matches]

                mean = sum(vals)/len(vals)

                heights.append(mean)

            else:

                heights.append(0)

 

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

 

 

    axes = pylab.axes()

    if libplot.alignments_equal(alignments):

        alignment_labels = ["%s" % x[0] for x in alignments]

    else:

        alignment_labels = ["%s:%s" % (x[0], x[1]) for x in alignments]

    axes.set_xticklabels(alignment_labels)

    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()