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import multiprocessing
from src.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} {nthreads} 1000000 {maxsize}"
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):
# Speed
self.plot_fixed_arg("perm.nthreads / (float({task-clock})/1000)",
ylabel = '"MOPS/cpu-second"',
title = '"Loop: " + arg + " " + str(arg_value)',
filepostfix="time")
# Memusage
self.plot_fixed_arg("int({VmHWM})",
ylabel='"VmHWM in kB"',
title= '"Loop Memusage: " + arg + " " + str(arg_value)',
filepostfix="memusage")
# 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")
# Speed Matrix
self.write_best_doublearg_tex_table("perm.nthreads / (float({task-clock})/1000)",
filepostfix="memusage.matrix")
loop = Benchmark_Loop()
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