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| author | Florian Fischer <florian.fl.fischer@fau.de> | 2019-03-25 17:49:39 +0100 |
|---|---|---|
| committer | Florian Fischer <florian.fl.fischer@fau.de> | 2019-03-25 17:49:39 +0100 |
| commit | 25c4d81069f576354d0279bf38417c236e924540 (patch) | |
| tree | e5b953bc96220f07c86bf01ac0f900751b08543e /src/benchmarks/larson.py | |
| parent | 5c4ee34ec788ab0a59fe10c125452323d4b67d98 (diff) | |
| download | allocbench-25c4d81069f576354d0279bf38417c236e924540.tar.gz allocbench-25c4d81069f576354d0279bf38417c236e924540.zip | |
move benchmark definitions into src/benchmarks
bench now loads all *.py files from src/benchmarks as benchmarks
Diffstat (limited to 'src/benchmarks/larson.py')
| -rw-r--r-- | src/benchmarks/larson.py | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/src/benchmarks/larson.py b/src/benchmarks/larson.py new file mode 100644 index 0000000..e070b7b --- /dev/null +++ b/src/benchmarks/larson.py @@ -0,0 +1,46 @@ +import re + +from src.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 = "larson{binary_suffix} 1 8 {maxsize} 1000 50000 1 {threads}" + + self.args = { + "maxsize": [8, 32, 64, 128, 256, 512, 1024], + "threads": Benchmark.scale_threads_for_cpus(2) + } + + 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") + +larson = Benchmark_Larson() |
