import multiprocessing import re from src.benchmark import Benchmark throughput_re = re.compile("^Throughput =\s*(?P\d+) operations per second.$") class Benchmark_Larson(Benchmark): def __init__(self): self.name = "larson" self.descrition = """This benchmark is courtesy of Paul Larson at Microsoft Research. It simulates a server: each thread allocates and deallocates objects, and then transfers some objects (randomly selected) to other threads to be freed.""" self.cmd = "larson{binary_suffix} 1 8 {maxsize} 1000 50000 1 {threads}" self.args = { "maxsize": [8, 32, 64, 128, 256, 512, 1024], "threads": range(1, multiprocessing.cpu_count() * 2 + 1) } self.requirements = ["larson"] super().__init__() def process_output(self, result, stdout, stderr, target, perm, verbose): for l in stdout.splitlines(): res = throughput_re.match(l) if res: result["throughput"] = int(res.group("throughput")) return def summary(self): # Plot threads->throughput and maxsize->throughput self.plot_fixed_arg("{throughput}/1000000", ylabel="'MOPS/s'", title="'Larson: ' + arg + ' ' + str(arg_value)", filepostfix="throughput") self.plot_fixed_arg("({L1-dcache-load-misses}/{L1-dcache-loads})*100", ylabel="'l1 cache misses in %'", title="'Larson cache misses: ' + arg + ' ' + str(arg_value)", filepostfix="cachemisses") # Memusage self.plot_fixed_arg("int({VmHWM})", ylabel='"VmHWM in kB"', title='"Loop Memusage: " + arg + " " + str(arg_value)', filepostfix="memusage") larson = Benchmark_Larson()