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| author | Florian Fischer <florian.fl.fischer@fau.de> | 2020-02-20 14:49:34 +0100 |
|---|---|---|
| committer | Florian Fischer <florian.fl.fischer@fau.de> | 2020-02-20 14:49:34 +0100 |
| commit | c03c4037cfaf604579e6b45451620f2a3117aa7d (patch) | |
| tree | 496724eae9263fb7a5569680e396cdb325c27139 /src/benchmarks | |
| parent | 263fc655d7d8d6694c4aae06150d1190efc9c696 (diff) | |
| download | allocbench-c03c4037cfaf604579e6b45451620f2a3117aa7d.tar.gz allocbench-c03c4037cfaf604579e6b45451620f2a3117aa7d.zip | |
simplify MOP/s calculation for the loop micro benchmark
Diffstat (limited to 'src/benchmarks')
| -rw-r--r-- | src/benchmarks/loop.py | 35 |
1 files changed, 19 insertions, 16 deletions
diff --git a/src/benchmarks/loop.py b/src/benchmarks/loop.py index ec520a4..6d590c9 100644 --- a/src/benchmarks/loop.py +++ b/src/benchmarks/loop.py @@ -46,20 +46,23 @@ class BenchmarkLoop(Benchmark): def __init__(self): name = "loop" - self.cmd = "loop{binary_suffix} {nthreads} 1000000 {maxsize}" + self.cmd = "loop{binary_suffix} {threads} 1000000 {maxsize}" self.args = { "maxsize": [2**x for x in range(6, 16)], - "nthreads": Benchmark.scale_threads_for_cpus(2) + "threads": Benchmark.scale_threads_for_cpus(2) } self.requirements = ["loop"] super().__init__(name) + def process_output(self, result, stdout, stderr, alloc, perm): + result["mops"] = perm.threads / float(result["task-clock"]) + def summary(self): # Speed plt.plot_fixed_arg(self, - "perm.nthreads / ({task-clock}/1000)", + "{mops}", ylabel="MOPS/cpu-second", title="Loop: {arg} {arg_value}", filepostfix="time", @@ -77,29 +80,29 @@ class BenchmarkLoop(Benchmark): # Speed Matrix plt.write_best_doublearg_tex_table( self, - "perm.nthreads / ({task-clock}/1000)", + "{mops}", filepostfix="time.matrix") plt.write_tex_table(self, [{ "label": "MOPS/s", - "expression": "perm.nthreads / ({task-clock}/1000)", + "expression": "{mops}", "sort": ">" }], filepostfix="mops.table") - plt.export_stats_to_csv(self, "task-clock") - plt.export_stats_to_dataref(self, "task-clock") + # plt.export_stats_to_csv(self, "task-clock") + # plt.export_stats_to_dataref(self, "task-clock") # pgfplot test - plt.pgfplot_linear(self, - self.iterate_args_fixed({"maxsize": 1024}, - args=self.results["args"]), - "int(perm.nthreads)", - "perm.nthreads / ({task-clock}/1000)", - xlabel="Threads", - ylabel="MOPS/cpu-second", - title="Loop: 1024B", - postfix='mops_1024B') + plt.pgfplot(self, + self.iterate_args_fixed({"maxsize": 1024}, + args=self.results["args"]), + "int(perm.threads)", + "{mops}", + xlabel="Threads", + ylabel="MOPS/cpu-second", + title="Loop: 1024B", + postfix='mops_1024B') # create pgfplot legend plt.pgfplot_legend(self) |