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| 1 | +module m_cuda_tdsops |
| 2 | + use iso_fortran_env, only: stderr => error_unit |
| 3 | + |
| 4 | + use m_common, only: dp |
| 5 | + use m_tdsops, only: tdsops_t, tdsops_init |
| 6 | + |
| 7 | + implicit none |
| 8 | + |
| 9 | + type, extends(tdsops_t) :: cuda_tdsops_t |
| 10 | + !! CUDA extension of the Tridiagonal Solver Operators class. |
| 11 | + !! |
| 12 | + !! Regular tdsops_t class is initiated and the coefficient arrays are |
| 13 | + !! copied into device arrays so that cuda kernels can use them. |
| 14 | + real(dp), device, allocatable :: dist_fw_dev(:), dist_bw_dev(:), & |
| 15 | + dist_sa_dev(:), dist_sc_dev(:), & |
| 16 | + dist_af_dev(:) |
| 17 | + real(dp), device, allocatable :: coeffs_dev(:), & |
| 18 | + coeffs_s_dev(:, :), coeffs_e_dev(:, :) |
| 19 | + contains |
| 20 | + end type cuda_tdsops_t |
| 21 | + |
| 22 | + interface cuda_tdsops_t |
| 23 | + module procedure cuda_tdsops_init |
| 24 | + end interface cuda_tdsops_t |
| 25 | + |
| 26 | +contains |
| 27 | + |
| 28 | + function cuda_tdsops_init(n, delta, operation, scheme, n_halo, from_to, & |
| 29 | + bc_start, bc_end, sym, c_nu, nu0_nu) & |
| 30 | + result(tdsops) |
| 31 | + !! Constructor function for the cuda_tdsops_t class. |
| 32 | + !! See tdsops_t for details. |
| 33 | + implicit none |
| 34 | + |
| 35 | + type(cuda_tdsops_t) :: tdsops !! return value of the function |
| 36 | + |
| 37 | + integer, intent(in) :: n |
| 38 | + real(dp), intent(in) :: delta |
| 39 | + character(*), intent(in) :: operation, scheme |
| 40 | + integer, optional, intent(in) :: n_halo |
| 41 | + character(*), optional, intent(in) :: from_to, bc_start, bc_end |
| 42 | + logical, optional, intent(in) :: sym |
| 43 | + real(dp), optional, intent(in) :: c_nu, nu0_nu |
| 44 | + |
| 45 | + integer :: n_stencil |
| 46 | + |
| 47 | + tdsops%tdsops_t = tdsops_init(n, delta, operation, scheme, n_halo, & |
| 48 | + from_to, bc_start, bc_end, sym, & |
| 49 | + c_nu, nu0_nu) |
| 50 | + |
| 51 | + n_stencil = 2*tdsops%n_halo + 1 |
| 52 | + |
| 53 | + allocate(tdsops%dist_fw_dev(n), tdsops%dist_bw_dev(n)) |
| 54 | + allocate(tdsops%dist_sa_dev(n), tdsops%dist_sc_dev(n)) |
| 55 | + allocate(tdsops%dist_af_dev(n)) |
| 56 | + allocate(tdsops%coeffs_dev(n_stencil)) |
| 57 | + allocate(tdsops%coeffs_s_dev(n_stencil, tdsops%n_halo)) |
| 58 | + allocate(tdsops%coeffs_e_dev(n_stencil, tdsops%n_halo)) |
| 59 | + |
| 60 | + tdsops%dist_fw_dev(:) = tdsops%dist_fw(:) |
| 61 | + tdsops%dist_bw_dev(:) = tdsops%dist_bw(:) |
| 62 | + tdsops%dist_sa_dev(:) = tdsops%dist_sa(:) |
| 63 | + tdsops%dist_sc_dev(:) = tdsops%dist_sc(:) |
| 64 | + tdsops%dist_af_dev(:) = tdsops%dist_af(:) |
| 65 | + |
| 66 | + tdsops%coeffs_dev(:) = tdsops%coeffs(:) |
| 67 | + tdsops%coeffs_s_dev(:, :) = tdsops%coeffs_s(:, :) |
| 68 | + tdsops%coeffs_e_dev(:, :) = tdsops%coeffs_e(:, :) |
| 69 | + |
| 70 | + end function cuda_tdsops_init |
| 71 | + |
| 72 | +end module m_cuda_tdsops |
| 73 | + |
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