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from src.benchmark import Benchmark
from src.allocators.bumpptr import bumpptr
class Benchmark_Loop(Benchmark):
def __init__(self):
self.name = "loop"
self.descrition = """This benchmark allocates and frees n blocks in t concurrent
threads."""
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__()
# add bumpptr alloc
self.allocators["bumpptr"] = bumpptr.build()
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='"Loop: " + arg + " " + str(arg_value) + " normalized {}"'.format(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,
yerr=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 = Benchmark_Loop()
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