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import multiprocessing
import re
from benchmark import Benchmark
throughput_re = re.compile("^Throughput =\s*(?P<throughput>\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 = "build/larson{binary_suffix} 1 8 {maxsize} 1000 10000 1 {threads}"
self.measure_cmd = ""
self.args = {
"maxsize" : [8, 32, 64, 128, 256, 512, 1024],
"threads" : range(1, multiprocessing.cpu_count() * 2 + 1)
}
self.requirements = ["build/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, sumdir):
# Plot threads->throughput and maxsize->throughput
self.plot_fixed_arg("{throughput}",
ylabel="'OPS/s'",
title = "'Larson: ' + arg + ' ' + str(arg_value)",
sumdir=sumdir)
larson = Benchmark_Larson()
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