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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/>.
"""espresso is a single threaded programmable logic array analyzer, described by Grunwald, Zorn,
and Henderson in their paper "Improving the cache locality of memory allocation".
The file "largest.espresso" shipped with mimalloc-bench and allocbench generates
a workload with 3367364 allocator calls (malloc: 1659385, free: 1691851, realloc: 16128).
About 87% of all allocations are smaller than 64 Byte, the common cache line size.
Top 10 allocation sizes 0.91% of all allocations
1. 48 B occurred 615622 times
2. 16 B occurred 533267 times
3. 56 B occurred 235944 times
4. 72 B occurred 27318 times
5. 88 B occurred 23640 times
6. 64 B occurred 22498 times
7. 80 B occurred 17779 times
8. 8 B occurred 16336 times
9. 272 B occurred 14644 times
10. 96 B occurred 13175 times
allocations <= 64 1442648
allocations <= 1024 1657509
allocations <= 4096 1667112
The relevant non functional allocator properties are the raw speed of the
API function as well as memory placement strategies with good data locality.
"""
import os
from src.benchmark import Benchmark
import src.globalvars
class BenchmarkEspresso(Benchmark):
"""Definition of the espresso benchmark for allocbench"""
def __init__(self):
name = "espresso"
self.cmd = "espresso{binary_suffix} {file}"
self.args = {"file": [os.path.join(src.globalvars.benchsrcdir, name,
"largest.espresso")]}
self.requirements = ["espresso"]
super().__init__(name)
def summary(self):
# Speed
self.barplot_single_arg("{task-clock}/1000",
ylabel='"cpu-second"',
title='"Espresso: runtime"',
filepostfix="time")
# L1 cache misses
self.barplot_single_arg("({L1-dcache-load-misses}/{L1-dcache-loads})*100",
ylabel='"L1 misses in %"',
title='"Espresso l1 cache misses"',
filepostfix="l1misses",
yerr=False)
# Memusage
self.barplot_single_arg("{VmHWM}",
ylabel='"VmHWM in KB"',
title='"Espresso VmHWM"',
filepostfix="vmhwm")
self.export_stats_to_dataref("task-clock")
self.export_stats_to_dataref("VmHWM")
espresso = BenchmarkEspresso()
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