diff options
Diffstat (limited to 'src/benchmarks/loop.py')
| -rw-r--r-- | src/benchmarks/loop.py | 48 |
1 files changed, 28 insertions, 20 deletions
diff --git a/src/benchmarks/loop.py b/src/benchmarks/loop.py index a969f4a..75c56ee 100644 --- a/src/benchmarks/loop.py +++ b/src/benchmarks/loop.py @@ -35,6 +35,7 @@ Interpretation: """ from src.benchmark import Benchmark +import src.plots as plt class BenchmarkLoop(Benchmark): @@ -57,14 +58,16 @@ class BenchmarkLoop(Benchmark): 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) + plt.plot_fixed_arg(self, + "perm.nthreads / ({task-clock}/1000)", + ylabel='"MOPS/cpu-second"', + title='"Loop: " + arg + " " + str(arg_value)', + filepostfix="time", + autoticks=False) # L1 cache misses - self.plot_fixed_arg( + plt.plot_fixed_arg( + self, "({L1-dcache-load-misses}/{L1-dcache-loads})*100", ylabel='"L1 misses in %"', title='"Loop l1 cache misses: " + arg + " " + str(arg_value)', @@ -72,29 +75,34 @@ class BenchmarkLoop(Benchmark): autoticks=False) # Speed Matrix - self.write_best_doublearg_tex_table( - "perm.nthreads / ({task-clock}/1000)", filepostfix="time.matrix") + plt.write_best_doublearg_tex_table( + self, + "perm.nthreads / ({task-clock}/1000)", + filepostfix="time.matrix") - self.write_tex_table([{ + plt.write_tex_table(self, [{ "label": "MOPS/s", "expression": "perm.nthreads / ({task-clock}/1000)", "sort": ">" }], - filepostfix="mops.table") + filepostfix="mops.table") - self.export_stats_to_csv("task-clock") - self.export_stats_to_dataref("task-clock") + plt.export_stats_to_csv(self, "task-clock") + plt.export_stats_to_dataref(self, "task-clock") # pgfplot test - self.pgfplot_linear(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_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') # create pgfplot legend - self.pgfplot_legend() + plt.pgfplot_legend(self) + loop = BenchmarkLoop() |
