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math_utils.hpp
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math_utils.hpp
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// Copyright (c) "2019, by Stanford University
// Developer: Mario Di Renzo
// Affiliation: Center for Turbulence Research, Stanford University
// URL: https://ctr.stanford.edu
// Citation: Di Renzo, M., Lin, F., and Urzay, J. (2020).
// HTR solver: An open-source exascale-oriented task-based
// multi-GPU high-order code for hypersonic aerothermodynamics.
// Computer Physics Communications 255, 107262"
// 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.
//
// 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 COPYRIGHT HOLDER 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.
#ifndef __MATH_UTILS_HPP__
#define __MATH_UTILS_HPP__
#ifndef __CUDA_HD__
#ifdef __CUDACC__
#define __CUDA_HD__ __host__ __device__
#else
#define __CUDA_HD__
#endif
#endif
#ifndef __UNROLL__
#ifdef __CUDACC__
#define __UNROLL__ #pragma unroll
#else
#define __UNROLL__
#endif
#endif
__CUDA_HD__
inline double dot(const double *a, const double *b) {
return a[0]*b[0] + a[1]*b[1] + a[2]*b[2];
}
template<int n>
__CUDA_HD__
inline void MatMul(const double *A, const double *x, double *r) {
__UNROLL__
for (int i=0; i<n; i++) {
r[i] = 0.0;
__UNROLL__
for (int j=0; j<n; j++)
r[i] += A[i*n+j]*x[j];
}
}
#endif // __MATH_UTILS_HPP__