1d13e9b48SJed Brown#!/usr/bin/env python3 2*5cd6c1fbSSebastian Grimberg 3d13e9b48SJed Brown# Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC. 4d13e9b48SJed Brown# Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707. 5d13e9b48SJed Brown# All Rights reserved. See files LICENSE and NOTICE for details. 6d13e9b48SJed Brown# 7d13e9b48SJed Brown# This file is part of CEED, a collection of benchmarks, miniapps, software 8d13e9b48SJed Brown# libraries and APIs for efficient high-order finite element and spectral 9d13e9b48SJed Brown# element discretizations for exascale applications. For more information and 103d8e8822SJeremy L Thompson# source code availability see http://github.com/ceed 11d13e9b48SJed Brown# 12d13e9b48SJed Brown# The CEED research is supported by the Exascale Computing Project 17-SC-20-SC, 13d13e9b48SJed Brown# a collaborative effort of two U.S. Department of Energy organizations (Office 14d13e9b48SJed Brown# of Science and the National Nuclear Security Administration) responsible for 15d13e9b48SJed Brown# the planning and preparation of a capable exascale ecosystem, including 16d13e9b48SJed Brown# software, applications, hardware, advanced system engineering and early 17d13e9b48SJed Brown# testbed platforms, in support of the nation's exascale computing imperative. 18d13e9b48SJed Brown 19d13e9b48SJed Brownimport pandas as pd 20d13e9b48SJed Brownfrom postprocess_base import read_logs 21d13e9b48SJed Brown 22*5cd6c1fbSSebastian Grimberg# Load the data 23d13e9b48SJed Brownruns = read_logs() 24d13e9b48SJed Brown 25dec49e00SJed Brown# Data output 26d13e9b48SJed Brownprint('Writing data to \'benchmark_data.csv\'...') 27d13e9b48SJed Brownruns.to_csv('benchmark_data.csv', sep='\t', index=False) 28d13e9b48SJed Brownprint('Writing complete') 29