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import matplotlib.pyplot as plt
import multiprocessing
import numpy as np
import os
from benchmark import Benchmark
class Benchmark_Loop( Benchmark ):
def __init__(self):
self.name = "loop"
self.descrition = """This benchmark makes n allocations in t concurrent threads.
How allocations are freed can be changed with the benchmark
version""",
self.cmd = "build/bench_loop{binary_suffix} 1.2 {nthreads} 1000000 {maxsize} 10"
self.args = {
"maxsize" : [2 ** x for x in range(6, 16)],
"nthreads" : range(1, multiprocessing.cpu_count() * 2 + 1)
}
self.requirements = ["build/bench_loop"]
super().__init__()
def summary(self, sumdir):
args = self.results["args"]
targets = self.results["targets"]
# Speed
self.plot_fixed_arg("perm.nthreads / float({task-clock})",
ylabel = '"MOPS/s"',
title = '"Loop: " + arg + " " + str(arg_value)',
filepostfix="tclock",
sumdir=sumdir)
# Memusage
self.plot_fixed_arg("int({VmHWM})",
ylabel='"VmHWM in kB"',
title= '"Loop Memusage: " + arg + " " + str(arg_value)',
filepostfix="memusage",
sumdir=sumdir)
loop = Benchmark_Loop()
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