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# Copyright 2018-2019 Florian Fischer <florian.fl.fischer@fau.de>
#
# This file is part of allocbench.
#
# allocbench is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# allocbench is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with allocbench. If not, see <http://www.gnu.org/licenses/>.
"""Definition of the loop micro benchmark"""
from src.benchmark import Benchmark
class BenchmarkLoop(Benchmark):
"""Loop micro benchmark
This benchmark allocates and frees n blocks in t concurrent threads.
"""
def __init__(self):
self.name = "loop"
self.cmd = "loop{binary_suffix} {nthreads} 1000000 {maxsize}"
self.args = {"maxsize": [2 ** x for x in range(6, 16)],
"nthreads": Benchmark.scale_threads_for_cpus(2)}
self.requirements = ["loop"]
super().__init__()
def summary(self):
# Speed
self.plot_fixed_arg("perm.nthreads / ({task-clock}/1000)",
ylabel='"MOPS/cpu-second"',
title='"Loop: " + arg + " " + str(arg_value)',
filepostfix="time",
autoticks=False)
scale = list(self.results["allocators"].keys())[0]
self.plot_fixed_arg("perm.nthreads / ({task-clock}/1000)",
ylabel='"MOPS/cpu-second normalized {}"'.format(scale),
title=f'"Loop: " + arg + " " + str(arg_value) + " normalized {scale}"',
filepostfix="time.norm",
scale=scale,
autoticks=False)
# L1 cache misses
self.plot_fixed_arg("({L1-dcache-load-misses}/{L1-dcache-loads})*100",
ylabel='"L1 misses in %"',
title='"Loop l1 cache misses: " + arg + " " + str(arg_value)',
filepostfix="l1misses",
autoticks=False)
# Speed Matrix
self.write_best_doublearg_tex_table("perm.nthreads / ({task-clock}/1000)",
filepostfix="time.matrix")
self.export_stats_to_csv("task-clock")
self.export_stats_to_dataref("task-clock")
loop = BenchmarkLoop()
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