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File indexing completed on 2025-05-11 08:24:43
0001 # SPDX-License-Identifier: BSD-2-Clause 0002 0003 # Copyright (C) 2017, 2024 embedded brains GmbH & Co. KG 0004 # 0005 # Redistribution and use in source and binary forms, with or without 0006 # modification, are permitted provided that the following conditions 0007 # are met: 0008 # 1. Redistributions of source code must retain the above copyright 0009 # notice, this list of conditions and the following disclaimer. 0010 # 2. Redistributions in binary form must reproduce the above copyright 0011 # notice, this list of conditions and the following disclaimer in the 0012 # documentation and/or other materials provided with the distribution. 0013 # 0014 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 0015 # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 0016 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 0017 # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 0018 # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 0019 # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 0020 # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 0021 # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 0022 # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 0023 # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 0024 # POSSIBILITY OF SUCH DAMAGE. 0025 0026 import json 0027 import re 0028 import matplotlib.pyplot as plt # type: ignore 0029 from matplotlib import ticker # type: ignore 0030 0031 0032 def _plot(data: dict) -> None: 0033 _, axes = plt.subplots() 0034 axes.set_title("OpenMP Microbench") 0035 axes.set_xlabel("Number of Threads") 0036 axes.set_ylabel("Relative Duration") 0037 x = list(range(1, len(data) + 1)) 0038 axes.xaxis.set_major_locator(ticker.FixedLocator(x)) 0039 for key in [ 0040 "barrier-bench", "dynamic-bench", "guided-bench", "parallel-bench", 0041 "runtime-bench", "single-bench", "static-bench" 0042 ]: 0043 d = [results[key] for results in data] 0044 y = [x / d[0] for x in d] 0045 axes.plot(x, y, label=key.replace("-bench", ""), marker="o") 0046 axes.legend(loc="best") 0047 plt.savefig("smpopenmp01.png") 0048 plt.savefig("smpopenmp01.pdf") 0049 plt.close() 0050 0051 0052 _JSON_DATA = re.compile( 0053 r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)" 0054 r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL) 0055 0056 with open("smpopenmp01.scn", "r", encoding="utf-8") as src: 0057 match = _JSON_DATA.search(src.read()) 0058 data = json.loads(match.group(1)) 0059 0060 _plot(data)
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