from src.allocator import bumpptr from src.benchmark import Benchmark 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{version}{binary_suffix} {nthreads} 1000000 {maxsize} 100" self.args = {"maxsize": [2 ** x for x in range(6, 16)], "nthreads": Benchmark.scale_threads_for_cpus(2), "version": ("", "KeepAllocs")} 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) # Speed Matrix self.write_best_doublearg_tex_table("perm.nthreads / ({task-clock}/1000)", filepostfix="memusage.matrix") self.export_to_csv("task-clock") self.export_to_dataref("task-clock") loop = Benchmark_Loop()