From 8174a918ea3b7cb216bf7ea98cfdc10661b5c37d Mon Sep 17 00:00:00 2001
From: Florian Fischer <florian.fl.fischer@fau.de>
Date: Wed, 6 May 2020 16:56:32 +0200
Subject: make the whole project more python idiomatic

* rename src directory to allocbench
* make global variable names UPPERCASE
* format a lot of code using yapf
* use lowercase ld_preload and ld_library_path as Allocator members
* name expected Errors 'err' and don't raise a new Exception
* disable some pylint messages
---
 src/benchmarks/falsesharing.py | 126 -----------------------------------------
 1 file changed, 126 deletions(-)
 delete mode 100644 src/benchmarks/falsesharing.py

(limited to 'src/benchmarks/falsesharing.py')

diff --git a/src/benchmarks/falsesharing.py b/src/benchmarks/falsesharing.py
deleted file mode 100644
index 1e9fc34..0000000
--- a/src/benchmarks/falsesharing.py
+++ /dev/null
@@ -1,126 +0,0 @@
-# Copyright 2018-2019 Florian Fischer <florian.fl.fischer@fau.de>
-#
-# This file is part of allocbench.
-#
-# allocbench is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# allocbench is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with allocbench.  If not, see <http://www.gnu.org/licenses/>.
-"""Definition of the falsesahring benchmark"""
-
-import re
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-from src.benchmark import Benchmark
-from src.globalvars import summary_file_ext
-import src.plots as plt
-
-TIME_RE = re.compile("^Time elapsed = (?P<time>\\d*\\.\\d*) seconds.$")
-
-
-class BenchmarkFalsesharing(Benchmark):
-    """Falsesharing benchmark.
-
-    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.
-    """
-    def __init__(self):
-        name = "falsesharing"
-
-        self.cmd = "cache-{bench}{binary_suffix} {threads} 100 8 10000000"
-
-        self.args = {
-            "bench": ["thrash", "scratch"],
-            "threads": Benchmark.scale_threads_for_cpus(1)
-        }
-
-        self.requirements = ["cache-thrash", "cache-scratch"]
-        super().__init__(name)
-
-    @staticmethod
-    def process_output(result, stdout, stderr, allocator, perm):
-        result["time"] = TIME_RE.match(stdout).group("time")
-
-    def summary(self):
-        args = self.results["args"]
-        nthreads = args["threads"]
-        allocators = self.results["allocators"]
-
-        # calculate relevant datapoints: speedup, l1-cache-misses
-        for bench in self.results["args"]["bench"]:
-            for allocator in allocators:
-
-                sequential_perm = self.Perm(bench=bench, threads=1)
-                for perm in self.iterate_args({"bench": bench}, args=args):
-                    speedup = []
-                    l1chache_misses = []
-                    for i, measure in enumerate(self.results[allocator][perm]):
-                        sequential_time = float(self.results[allocator]
-                                                [sequential_perm][i]["time"])
-                        measure["speedup"] = sequential_time / float(
-                            measure["time"])
-                        measure["l1chache_misses"] = eval(
-                            "({L1-dcache-load-misses}/{L1-dcache-loads})*100".
-                            format(**measure))
-
-        # delete and recalculate stats
-        del self.results["stats"]
-        self.calc_desc_statistics()
-
-        plt.plot(self,
-                 "{speedup}",
-                 x_args=["bench"],
-                 fig_options={
-                 'ylabel': "Speedup",
-                 'title': "Speedup: {arg} {arg_value}",
-                 'autoticks': False,
-                 },
-                 file_postfix="speedup")
-
-        plt.plot(self,
-                 "{l1chache_misses}",
-                 x_args=["bench"],
-                 fig_options={
-                     'ylabel': "l1 cache misses in %",
-                     'title': "cache misses: {arg} {arg_value}",
-                     'autoticks': False,
-                 },
-            file_postfix="l1-misses")
-
-        plt.write_tex_table(self, [{
-            "label": "Speedup",
-            "expression": "{speedup}",
-            "sort": ">"
-        }],
-                            file_postfix="speedup.table")
-
-        # plt.export_stats_to_csv(self, "speedup", "time")
-        # plt.export_stats_to_csv(self, "l1chache_misses", "l1-misses")
-
-        # pgfplots
-        for bench in args["bench"]:
-            plt.pgfplot(self,
-                        self.iterate_args({"bench": bench}, args=args),
-                        "int(perm.threads)",
-                        "{speedup}",
-                        xlabel="Threads",
-                        ylabel="Speedup",
-                        title=f"{bench}: Speedup",
-                        postfix=f"{bench}.speedup")
-
-        # create pgfplot legend
-        plt.pgfplot_legend(self)
-
-
-falsesharing = BenchmarkFalsesharing()
-- 
cgit v1.2.3