/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 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. * * Neither the name of NVIDIA CORPORATION nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``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 COPYRIGHT OWNER 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. */ /* Computation of eigenvalues of a small bidiagonal matrix */ #ifndef _BISECT_LARGE_CUH_ #define _BISECT_LARGE_CUH_ extern "C" { //////////////////////////////////////////////////////////////////////////////// //! Run the kernels to compute the eigenvalues for large matrices //! @param input handles to input data //! @param result handles to result data //! @param mat_size matrix size //! @param precision desired precision of eigenvalues //! @param lg lower limit of Gerschgorin interval //! @param ug upper limit of Gerschgorin interval //! @param iterations number of iterations (for timing) //////////////////////////////////////////////////////////////////////////////// void computeEigenvaluesLargeMatrix(const InputData &input, const ResultDataLarge &result, const unsigned int mat_size, const float precision, const float lg, const float ug, const unsigned int iterations); //////////////////////////////////////////////////////////////////////////////// //! Initialize variables and memory for result //! @param result handles to memory //! @param matr_size size of the matrix //////////////////////////////////////////////////////////////////////////////// void initResultDataLargeMatrix(ResultDataLarge &result, const unsigned int mat_size); //////////////////////////////////////////////////////////////////////////////// //! Cleanup result memory //! @param result handles to memory //////////////////////////////////////////////////////////////////////////////// void cleanupResultDataLargeMatrix(ResultDataLarge &result); //////////////////////////////////////////////////////////////////////////////// //! Process the result, that is obtain result from device and do simple sanity //! checking //! @param input handles to input data //! @param result handles to result data //! @param mat_size matrix size //! @param filename output filename //////////////////////////////////////////////////////////////////////////////// bool processResultDataLargeMatrix(const InputData &input, const ResultDataLarge &result, const unsigned int mat_size, const char *filename, const unsigned int user_defined, char *exec_path); }; #endif // #ifndef _BISECT_LARGE_CUH_