1*d13e9b48SJed Brown#!/usr/bin/env python3 2*d13e9b48SJed Brown# Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC. 3*d13e9b48SJed Brown# Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707. 4*d13e9b48SJed Brown# All Rights reserved. See files LICENSE and NOTICE for details. 5*d13e9b48SJed Brown# 6*d13e9b48SJed Brown# This file is part of CEED, a collection of benchmarks, miniapps, software 7*d13e9b48SJed Brown# libraries and APIs for efficient high-order finite element and spectral 8*d13e9b48SJed Brown# element discretizations for exascale applications. For more information and 9*d13e9b48SJed Brown# source code availability see http://github.com/ceed. 10*d13e9b48SJed Brown# 11*d13e9b48SJed Brown# The CEED research is supported by the Exascale Computing Project 17-SC-20-SC, 12*d13e9b48SJed Brown# a collaborative effort of two U.S. Department of Energy organizations (Office 13*d13e9b48SJed Brown# of Science and the National Nuclear Security Administration) responsible for 14*d13e9b48SJed Brown# the planning and preparation of a capable exascale ecosystem, including 15*d13e9b48SJed Brown# software, applications, hardware, advanced system engineering and early 16*d13e9b48SJed Brown# testbed platforms, in support of the nation's exascale computing imperative. 17*d13e9b48SJed Brown 18*d13e9b48SJed Brown 19*d13e9b48SJed Brown##### Load the data 20*d13e9b48SJed Brownimport pandas as pd 21*d13e9b48SJed Brownfrom postprocess_base import read_logs 22*d13e9b48SJed Brown 23*d13e9b48SJed Brownruns = read_logs() 24*d13e9b48SJed Brown 25*d13e9b48SJed Brown##### Data output 26*d13e9b48SJed Brownprint('Writing data to \'benchmark_data.csv\'...') 27*d13e9b48SJed Brownruns.to_csv('benchmark_data.csv', sep='\t', index=False) 28*d13e9b48SJed Brownprint('Writing complete') 29