'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' Intel(R) Optimized High Performance Conjugate Gradient Benchmark ................................................................................ Package Contents ---------------- This package contains Intel(R) Optimized High Performance Conjugate Gradient Benchmark (Intel(R) Optimized HPCG) for Linux* OS. The package is based on the reference implementation of the HPCG benchmark v3.0 with the following additions: setup/Make.* - Setup files for building a benchmark against optimizations provided in Intel(R) Math Kernel Library (Intel(R) MKL). The build steps are described in the HPCG QUICKSTART guide. bin/xhpcg_avx - Prebuilt executable with HPCG* subroutines optimized for Intel(R) Advanced Vector Extensions (Intel(R) AVX). bin/xhpcg_avx2 - Prebuilt executable with HPCG* subroutines optimized for Intel(R) Advanced Vector Extensions 2 (Intel(R) AVX2). bin/xhpcg_knl - Prebuilt executable with HPCG* subroutines optimized for Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX512) on Intel(R) Xeon Phi(TM) processors (products formerly Knights Landing). bin/xhpcg_skx - Prebuilt executable with HPCG* subroutines optimized for Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX512) on Intel(R) Xeon(R) Scalable processors (products formerly Skylake). For user convenience the package is supplied with prebuilt HPCG* launchers, allowing out-of-the-box benchmark execution. First, setup the runtime environment for Intel(R) C/C++ Compiler 16.0, Intel(R) MKL 2018, and Intel(R) MPI 5.1 or later versions using the scripts compilervars.sh, mklvars.sh, and mpivars.sh included in those distributions. Next, run the benchmark on Intel AVX, Intel AVX2, or Intel AVX-512 enabled Intel processors as follows: #> export OMP_NUM_THREADS= #> export KMP_AFFINITY=granularity=fine,compact,1,0 #> mpiexec.hydra -genvall -n $nprocs -ppn $nprocs_per_node bin/xhpcg_avx -n$problem_size -t$run_time_in_seconds #> mpiexec.hydra -genvall -n $nprocs -ppn $nprocs_per_node bin/xhpcg_avx2 -n$problem_size -t$run_time_in_seconds #> mpiexec.hydra -genvall -n $nprocs -ppn $nprocs_per_node bin/xhpcg_knl -n$problem_size -t$run_time_in_seconds #> mpiexec.hydra -genvall -n $nprocs -ppn $nprocs_per_node bin/xhpcg_skx -n$problem_size -t$run_time_in_seconds Note: Problem size should be multiple of 8 and at least 24. Reference HPCG code in the ./src directory was modified in order to bundle Intel(R) architecture optimizations with the shared libraries. =============================================================================== Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. * Other names and brands may be claimed as the property of others. ================================================================================ Copyright 2014-2019 Intel Corporation. This software and the related documents are Intel copyrighted materials, and your use of them is governed by the express license under which they were provided to you (License). Unless the License provides otherwise, you may not use, modify, copy, publish, distribute, disclose or transmit this software or the related documents without Intel's prior written permission. This software and the related documents are provided as is, with no express or implied warranties, other than those that are expressly stated in the License. ================================================================================ -- High Performance Conjugate Gradients (HPCG) Benchmark HPCG - 3.0 - November 11, 2015 Michael A. Heroux Scalable Algorithms Group, Center for Computing Research Sandia National Laboratories, Albuquerque, NM Piotr Luszczek Jack Dongarra University of Tennessee, Knoxville Innovative Computing Laboratory (C) Copyright 2013 All Rights Reserved -- Copyright notice and Licensing terms: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions, and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The name of the University, the name of the Laboratory, or the names of its contributors may not be used to endorse or promote products derived from this software without specific written permission. -- Disclaimer: THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ======================================================================