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COPYING
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COPYING
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======================================================================
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-- High Performance Conjugate Gradients (HPCG) Benchmark
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HPCG - 3.1 - March 28, 2019
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Michael A. Heroux
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Scalable Algorithms Group, Center for Computing Research
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Sandia National Laboratories, Albuquerque, NM
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Piotr Luszczek
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Jack Dongarra
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University of Tennessee, Knoxville
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Innovative Computing Laboratory
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(C) Copyright 2013-2019 All Rights Reserved
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-- Copyright notice and Licensing terms:
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions, and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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3. The name of the University, the name of the Laboratory, or the
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names of its contributors may not be used to endorse or promote
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products derived from this software without specific written
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permission.
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-- Disclaimer:
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY
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OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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======================================================================
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