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Merge pull request kokkos#1155 from kliegeois/GMRES
Add Batched CG and Batched GMRES
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| //@HEADER | ||
| // ************************************************************************ | ||
| // | ||
| // Kokkos v. 3.4 | ||
| // Copyright (2021) National Technology & Engineering | ||
| // Solutions of Sandia, LLC (NTESS). | ||
| // | ||
| // Under the terms of Contract DE-NA0003525 with NTESS, | ||
| // the U.S. Government retains certain rights in this software. | ||
| // | ||
| // 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. Neither the name of the Corporation nor the names of the | ||
| // contributors may be used to endorse or promote products derived from | ||
| // this software without specific prior written permission. | ||
| // | ||
| // THIS SOFTWARE IS PROVIDED BY NTESS "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 NTESS OR THE | ||
| // 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. | ||
| // | ||
| // Questions? Contact Siva Rajamanickam (srajama@sandia.gov) | ||
| // | ||
| // ************************************************************************ | ||
| //@HEADER | ||
| #ifndef __KOKKOSBATCHED_DOT_HPP__ | ||
| #define __KOKKOSBATCHED_DOT_HPP__ | ||
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| /// \author Kim Liegeois (knliege@sandia.gov) | ||
|
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| #include "KokkosBatched_Util.hpp" | ||
| #include "KokkosBatched_Vector.hpp" | ||
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| namespace KokkosBatched { | ||
|
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| /// \brief Serial Batched DOT: | ||
| /// | ||
| /// Depending on the ArgTrans template, the dot product is | ||
| /// row-based (ArgTrans == Trans::NoTranspose): | ||
| /// | ||
| /// dot_l <- (x_l:, y_l:) for all l = 1, ..., N | ||
| /// where: | ||
| /// * N is the second dimension of X. | ||
| /// | ||
| /// Or column-based: | ||
| /// dot_l <- (x_:l, y_:l) for all l = 1, ..., n | ||
| /// where: | ||
| /// * n is the second dimension of X. | ||
| /// | ||
| /// \tparam ArgTrans: type of dot product (Trans::NoTranspose by default) | ||
| /// \tparam XViewType: Input type for X, needs to be a 2D view | ||
| /// \tparam YViewType: Input type for Y, needs to be a 2D view | ||
| /// \tparam alphaViewType: Input type for alpha, needs to be a 1D view | ||
| /// | ||
| /// \param X [in]: Input vector X, a rank 2 view | ||
| /// \param Y [in]: Input vector Y, a rank 2 view | ||
| /// \param dot [out]: Computed dot product, a rank 1 view | ||
| /// | ||
| /// No nested parallel_for is used inside of the function. | ||
| /// | ||
|
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| template <typename ArgTrans = Trans::NoTranspose> | ||
| struct SerialDot { | ||
| template <typename XViewType, typename YViewType, typename NormViewType> | ||
| KOKKOS_INLINE_FUNCTION static int invoke(const XViewType &X, | ||
| const YViewType &Y, | ||
| const NormViewType &dot); | ||
| }; | ||
|
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| /// \brief Team Batched DOT: | ||
| /// | ||
| /// Depending on the ArgTrans template, the dot product is | ||
| /// row-based (ArgTrans == Trans::NoTranspose): | ||
| /// | ||
| /// dot_l <- (x_l:, y_l:) for all l = 1, ..., N | ||
| /// where: | ||
| /// * N is the second dimension of X. | ||
| /// | ||
| /// Or column-based: | ||
| /// dot_l <- (x_:l, y_:l) for all l = 1, ..., n | ||
| /// where: | ||
| /// * n is the second dimension of X. | ||
| /// | ||
| /// \tparam ArgTrans: type of dot product (Trans::NoTranspose by default) | ||
| /// \tparam XViewType: Input type for X, needs to be a 2D view | ||
| /// \tparam YViewType: Input type for Y, needs to be a 2D view | ||
| /// \tparam alphaViewType: Input type for alpha, needs to be a 1D view | ||
| /// | ||
| /// \param X [in]: Input vector X, a rank 2 view | ||
| /// \param Y [in]: Input vector Y, a rank 2 view | ||
| /// \param dot [out]: Computed dot product, a rank 1 view | ||
| /// | ||
| /// A nested parallel_for with TeamThreadRange is used. | ||
| /// | ||
|
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| template <typename MemberType, typename ArgTrans = Trans::NoTranspose> | ||
| struct TeamDot { | ||
| template <typename XViewType, typename YViewType, typename NormViewType> | ||
| KOKKOS_INLINE_FUNCTION static int invoke(const MemberType &member, | ||
| const XViewType &X, | ||
| const YViewType &Y, | ||
| const NormViewType &dot); | ||
| }; | ||
|
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| /// \brief TeamVector Batched DOT: | ||
| /// | ||
| /// Depending on the ArgTrans template, the dot product is | ||
| /// row-based (ArgTrans == Trans::NoTranspose): | ||
| /// | ||
| /// dot_l <- (x_l:, y_l:) for all l = 1, ..., N | ||
| /// where: | ||
| /// * N is the second dimension of X. | ||
| /// | ||
| /// Or column-based: | ||
| /// dot_l <- (x_:l, y_:l) for all l = 1, ..., n | ||
| /// where: | ||
| /// * n is the second dimension of X. | ||
| /// | ||
| /// \tparam ArgTrans: type of dot product (Trans::NoTranspose by default) | ||
| /// \tparam XViewType: Input type for X, needs to be a 2D view | ||
| /// \tparam YViewType: Input type for Y, needs to be a 2D view | ||
| /// \tparam alphaViewType: Input type for alpha, needs to be a 1D view | ||
| /// | ||
| /// \param X [in]: Input vector X, a rank 2 view | ||
| /// \param Y [in]: Input vector Y, a rank 2 view | ||
| /// \param dot [out]: Computed dot product, a rank 1 view | ||
| /// | ||
| /// Two nested parallel_for with both TeamThreadRange and ThreadVectorRange | ||
| /// (or one with TeamVectorRange) are used inside. | ||
| /// | ||
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| template <typename MemberType, typename ArgTrans = Trans::NoTranspose> | ||
| struct TeamVectorDot { | ||
| template <typename XViewType, typename YViewType, typename NormViewType> | ||
| KOKKOS_INLINE_FUNCTION static int invoke(const MemberType &member, | ||
| const XViewType &X, | ||
| const YViewType &Y, | ||
| const NormViewType &dot); | ||
| }; | ||
|
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| } // namespace KokkosBatched | ||
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| #include "KokkosBatched_Dot_Internal.hpp" | ||
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| #endif |
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