1 files changed, 0 insertions, 74 deletions
diff --git a/src/falsesharing.py b/src/falsesharing.py
deleted file mode 100644
index f6375a6..0000000
--- a/src/falsesharing.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-import re
-
-from src.benchmark import Benchmark
-
-time_re = re.compile("^Time elapsed = (?P<time>\d*\.\d*) seconds.$")
-
-
-class Benchmark_Falsesharing(Benchmark):
-    def __init__(self):
-        self.name = "falsesharing"
-        self.descrition = """This benchmarks makes small allocations and writes
-                             to them multiple times. If the allocated objects
-                             are on the same cache line the writes will be
-                             expensive because of cache thrashing."""
-
-        self.cmd = "cache-{bench}{binary_suffix} {threads} 100 8 1000000"
-
-        self.args = {
-                        "bench": ["thrash", "scratch"],
-                        "threads": Benchmark.scale_threads_for_cpus(2)
-                    }
-
-        self.requirements = ["cache-thrash", "cache-scratch"]
-        super().__init__()
-
-    def process_output(self, result, stdout, stderr, allocator, perm, verbose):
-        result["time"] = time_re.match(stdout).group("time")
-
-    def summary(self):
-        # Speedup thrash
-        args = self.results["args"]
-        nthreads = args["threads"]
-        allocators = self.results["allocators"]
-
-        for bench in self.results["args"]["bench"]:
-            for allocator in allocators:
-                y_vals = []
-
-                single_threaded_perm = self.Perm(bench=bench, threads=1)
-                single_threaded = np.mean([float(m["time"])
-                                          for m in self.results[allocator][single_threaded_perm]])
-
-                for perm in self.iterate_args_fixed({"bench": bench}, args=args):
-
-                    d = [float(m["time"]) for m in self.results[allocator][perm]]
-
-                    y_vals.append(single_threaded / np.mean(d))
-
-                plt.plot(nthreads, y_vals, marker='.', linestyle='-',
-                         label=allocator, color=allocators[allocator]["color"])
-
-            plt.legend()
-            plt.xlabel("threads")
-            plt.ylabel("speedup")
-            plt.title(bench + " speedup")
-            plt.savefig(self.name + "." + bench + ".png")
-            plt.clf()
-
-        self.plot_fixed_arg("({L1-dcache-load-misses}/{L1-dcache-loads})*100",
-                            ylabel="'l1 cache misses in %'",
-                            title="'cache misses: ' + arg + ' ' + str(arg_value)",
-                            filepostfix="l1-misses",
-                            fixed=["bench"])
-
-        self.plot_fixed_arg("({LLC-load-misses}/{LLC-loads})*100",
-                            ylabel="'l1 cache misses in %'",
-                            title="'LLC misses: ' + arg + ' ' + str(arg_value)",
-                            filepostfix="llc-misses",
-                            fixed=["bench"])
-
-
-falsesharing = Benchmark_Falsesharing()