freebsd-nq/contrib/cortex-strings/scripts/plot-sizes.py
Andrew Turner 09a53ad8f1 Import the Linaro Cortex Strings library into contrib.
Sponsored by:	The FreeBSD Foundation
2016-09-19 13:12:09 +00:00

121 lines
3.5 KiB
Python

#!/usr/bin/env python
"""Plot the performance for different block sizes of one function across
variants.
"""
import libplot
import pylab
import pdb
import math
def pretty_kb(v):
if v < 1024:
return '%d' % v
else:
if v % 1024 == 0:
return '%d k' % (v//1024)
else:
return '%.1f k' % (v/1024)
def plot(records, function, alignment=None, scale=1):
variants = libplot.unique(records, 'variant', prefer='this')
records = [x for x in records if x.function==function]
if alignment != None:
records = [x for x in records if x.src_alignment==alignment[0] and
x.dst_alignment==alignment[1]]
alignments = libplot.unique(records, ('src_alignment', 'dst_alignment'))
if len(alignments) != 1:
return False
if libplot.alignments_equal(alignments):
aalignment = alignments[0][0]
else:
aalignment = "%s:%s" % (alignments[0][0], alignments[0][1])
bytes = libplot.unique(records, 'bytes')[0]
colours = libplot.make_colours()
all_x = []
pylab.figure(1).set_size_inches((6.4*scale, 4.8*scale))
pylab.clf()
if 'str' in function:
# The harness fills out to 16k. Anything past that is an
# early match
top = 16384
else:
top = 2**31
for variant in variants:
matches = [x for x in records if x.variant==variant and x.bytes <= top]
matches.sort(key=lambda x: x.bytes)
X = sorted(list(set([x.bytes for x in matches])))
Y = []
Yerr = []
for xbytes in X:
vals = [x.bytes*x.loops/x.elapsed/(1024*1024) for x in matches if x.bytes == xbytes]
if len(vals) > 1:
mean = sum(vals)/len(vals)
Y.append(mean)
if len(Yerr) == 0:
Yerr = [[], []]
err1 = max(vals) - mean
assert err1 >= 0
err2 = min(vals) - mean
assert err2 <= 0
Yerr[0].append(abs(err2))
Yerr[1].append(err1)
else:
Y.append(vals[0])
all_x.extend(X)
colour = colours.next()
if X:
pylab.plot(X, Y, c=colour)
if len(Yerr) > 0:
pylab.errorbar(X, Y, yerr=Yerr, c=colour, label=variant, fmt='o')
else:
pylab.scatter(X, Y, c=colour, label=variant, edgecolors='none')
pylab.legend(loc='upper left', ncol=3, prop={'size': 'small'})
pylab.grid()
pylab.title('%(function)s of %(aalignment)s byte aligned blocks' % locals())
pylab.xlabel('Size (B)')
pylab.ylabel('Rate (MB/s)')
# Figure out how high the range goes
top = max(all_x)
power = int(round(math.log(max(all_x)) / math.log(2)))
pylab.semilogx()
pylab.axes().set_xticks([2**x for x in range(0, power+1)])
pylab.axes().set_xticklabels([pretty_kb(2**x) for x in range(0, power+1)])
pylab.xlim(0, top)
pylab.ylim(0, pylab.ylim()[1])
return True
def main():
records = libplot.parse()
functions = libplot.unique(records, 'function')
alignments = libplot.unique(records, ('src_alignment', 'dst_alignment'))
for function in functions:
for alignment in alignments:
for scale in [1, 2.5]:
if plot(records, function, alignment, scale):
pylab.savefig('sizes-%s-%02d-%02d-%.1f.png' % (function, alignment[0], alignment[1], scale), dpi=72)
pylab.show()
if __name__ == '__main__':
main()