xref: /libCEED/include/ceed/jit-source/sycl/sycl-shared-basis-tensor.h (revision 94b7b29b41ad8a17add4c577886859ef16f89dec)

// Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors.
// All Rights Reserved. See the top-level LICENSE and NOTICE files for details.
//
// SPDX-License-Identifier: BSD-2-Clause
//
// This file is part of CEED:  http://github.com/ceed

/// @file
/// Internal header for SYCL shared memory tensor product basis
#ifndef CEED_SYCL_SHARED_BASIS_TENSOR_H
#define CEED_SYCL_SHARED_BASIS_TENSOR_H

#include <ceed.h>

#include "sycl-shared-basis-read-write-templates.h"
#include "sycl-shared-basis-tensor-templates.h"

//
// BASIS_NUM_NODES = CeedIntPow(BASIS_P_1D,DIM)
// BASIS_NUM_QPTS = CeedIntPow(BASIS_Q_1D,DIM)

//------------------------------------------------------------------------------
// Interp kernel by dim
//------------------------------------------------------------------------------
kernel void Interp(const CeedInt num_elem, global const CeedScalar* restrict d_interp_1d, global const CeedScalar* restrict d_U,
                   global CeedScalar* restrict d_V) {
  local CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D];
 private
  CeedScalar r_U[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)];
 private
  CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)];

  local CeedScalar  scratch[BASIS_INTERP_SCRATCH_SIZE];
  local CeedScalar* elem_scratch = scratch + get_local_id(2) * T_1D * (BASIS_DIM > 1 ? T_1D : 1);

  loadMatrix(BASIS_P_1D * BASIS_Q_1D, d_interp_1d, s_B);
  work_group_barrier(CLK_LOCAL_MEM_FENCE);

  if (BASIS_DIM == 1) {
    ReadElementStrided1d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    Interp1d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided1d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);

  } else if (BASIS_DIM == 2) {
    ReadElementStrided2d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    InterpTensor2d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided2d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);

  } else if (BASIS_DIM == 3) {
    ReadElementStrided3d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    InterpTensor3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided3d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);
  }
}

kernel void InterpTranspose(const CeedInt num_elem, global const CeedScalar* restrict d_interp_1d, global const CeedScalar* restrict d_U,
                            global CeedScalar* restrict d_V) {
  // local size:
  // 1d: elems_per_block * T_1d
  // 2d,3d: elems_per_block * T_1d * T_1d
  local CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D];
 private
  CeedScalar r_U[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)];
 private
  CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)];

  local CeedScalar  scratch[BASIS_INTERP_SCRATCH_SIZE];
  local CeedScalar* elem_scratch = scratch + get_local_id(2) * T_1D * (BASIS_DIM > 1 ? T_1D : 1);

  loadMatrix(BASIS_P_1D * BASIS_Q_1D, d_interp_1d, s_B);
  work_group_barrier(CLK_LOCAL_MEM_FENCE);

  if (BASIS_DIM == 1) {
    ReadElementStrided1d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    InterpTranspose1d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided1d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);

  } else if (BASIS_DIM == 2) {
    ReadElementStrided2d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    InterpTransposeTensor2d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided2d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);

  } else if (BASIS_DIM == 3) {
    ReadElementStrided3d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    InterpTransposeTensor3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, r_V, elem_scratch);
    WriteElementStrided3d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);
  }
}

//------------------------------------------------------------------------------
// Grad kernel by dim
//------------------------------------------------------------------------------
kernel void Grad(const CeedInt num_elem, global const CeedScalar* restrict d_interp_1d, global const CeedScalar* restrict d_grad_1d,
                 global const CeedScalar* restrict d_U, global CeedScalar* restrict d_V) {
  local CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D];  // Todo, don't allocate s_B for dimension 1
  local CeedScalar s_G[BASIS_Q_1D * (BASIS_HAS_COLLOCATED_GRAD ? BASIS_Q_1D : BASIS_P_1D)];

 private
  CeedScalar r_U[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)];
 private
  CeedScalar r_V[BASIS_NUM_COMP * BASIS_DIM * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)];

  local CeedScalar  scratch[BASIS_GRAD_SCRATCH_SIZE];
  local CeedScalar* elem_scratch = scratch + get_local_id(2) * T_1D * (BASIS_DIM > 1 ? T_1D : 1);

  loadMatrix(BASIS_P_1D * BASIS_Q_1D, d_interp_1d, s_B);
  loadMatrix(BASIS_Q_1D * (BASIS_HAS_COLLOCATED_GRAD ? BASIS_Q_1D : BASIS_P_1D), d_grad_1d, s_G);
  work_group_barrier(CLK_LOCAL_MEM_FENCE);

  if (BASIS_DIM == 1) {
    ReadElementStrided1d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    Grad1d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_G, r_V, elem_scratch);
    WriteElementStrided1d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);

  } else if (BASIS_DIM == 2) {
    ReadElementStrided2d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    GradTensor2d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    WriteElementStrided2d(BASIS_NUM_COMP * BASIS_DIM, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);

  } else if (BASIS_DIM == 3) {
    ReadElementStrided3d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, d_U, r_U);
    if (BASIS_HAS_COLLOCATED_GRAD) GradTensorCollocated3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    else GradTensor3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    WriteElementStrided3d(BASIS_NUM_COMP * BASIS_DIM, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_V, d_V);
  }
}

kernel void GradTranspose(const CeedInt num_elem, global const CeedScalar* restrict d_interp_1d, global const CeedScalar* restrict d_grad_1d,
                          global const CeedScalar* restrict d_U, global CeedScalar* restrict d_V) {
  local CeedScalar s_B[BASIS_P_1D * BASIS_Q_1D];  // Todo, don't allocate s_B for dimension 1
  local CeedScalar s_G[BASIS_Q_1D * (BASIS_HAS_COLLOCATED_GRAD ? BASIS_Q_1D : BASIS_P_1D)];

 private
  CeedScalar r_U[BASIS_NUM_COMP * BASIS_DIM * (BASIS_DIM > 2 ? BASIS_Q_1D : 1)];
 private
  CeedScalar r_V[BASIS_NUM_COMP * (BASIS_DIM > 2 ? BASIS_P_1D : 1)];

  local CeedScalar  scratch[BASIS_GRAD_SCRATCH_SIZE];
  local CeedScalar* elem_scratch = scratch + get_local_id(2) * T_1D * (BASIS_DIM > 1 ? T_1D : 1);

  loadMatrix(BASIS_P_1D * BASIS_Q_1D, d_interp_1d, s_B);
  loadMatrix(BASIS_Q_1D * (BASIS_HAS_COLLOCATED_GRAD ? BASIS_Q_1D : BASIS_P_1D), d_grad_1d, s_G);
  work_group_barrier(CLK_LOCAL_MEM_FENCE);

  if (BASIS_DIM == 1) {
    ReadElementStrided1d(BASIS_NUM_COMP, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    GradTranspose1d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_G, r_V, elem_scratch);
    WriteElementStrided1d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);

  } else if (BASIS_DIM == 2) {
    ReadElementStrided2d(BASIS_NUM_COMP * BASIS_DIM, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    GradTransposeTensor2d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    WriteElementStrided2d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);

  } else if (BASIS_DIM == 3) {
    ReadElementStrided3d(BASIS_NUM_COMP * BASIS_DIM, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, d_U, r_U);
    if (BASIS_HAS_COLLOCATED_GRAD) GradTransposeTensorCollocated3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    else GradTransposeTensor3d(BASIS_NUM_COMP, BASIS_P_1D, BASIS_Q_1D, r_U, s_B, s_G, r_V, elem_scratch);
    WriteElementStrided3d(BASIS_NUM_COMP, BASIS_P_1D, num_elem, 1, BASIS_NUM_NODES * num_elem, BASIS_NUM_NODES, r_V, d_V);
  }
}

//------------------------------------------------------------------------------
// Weight kernels by dim
//------------------------------------------------------------------------------
kernel void Weight(const CeedInt num_elem, global const CeedScalar* restrict q_weight_1d, global CeedScalar* restrict d_W) {
 private
  CeedScalar r_W[BASIS_DIM > 2 ? BASIS_Q_1D : 1];

  // void prefetch(q_weight_1d,BASIS_Q_1D);

  if (BASIS_DIM == 1) {
    Weight1d(BASIS_Q_1D, q_weight_1d, r_W);
    WriteElementStrided1d(1, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_W, d_W);

  } else if (BASIS_DIM == 2) {
    WeightTensor2d(BASIS_Q_1D, q_weight_1d, r_W);
    WriteElementStrided2d(1, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_W, d_W);

  } else if (BASIS_DIM == 3) {
    WeightTensor3d(BASIS_Q_1D, q_weight_1d, r_W);
    WriteElementStrided3d(1, BASIS_Q_1D, num_elem, 1, BASIS_NUM_QPTS * num_elem, BASIS_NUM_QPTS, r_W, d_W);
  }
}

//------------------------------------------------------------------------------

#endif  // CEED_SYCL_SHARED_BASIS_TENSOR_H