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tea_leaf_kernel_cuda.cu
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tea_leaf_kernel_cuda.cu
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#include "cuda_common.hpp"
// same as in fortran
#define COEF_CONDUCTIVITY 1
#define COEF_RECIP_CONDUCTIVITY 2
#include "kernel_files/tea_block_jacobi.cuknl"
#include "kernel_files/tea_leaf_common.cuknl"
#include "kernel_files/tea_leaf_jacobi.cuknl"
#include "kernel_files/tea_leaf_cg.cuknl"
#include "kernel_files/tea_leaf_cheby.cuknl"
#include "kernel_files/tea_leaf_ppcg.cuknl"
#include "host_reductions_kernel_cuda.hpp"
#include <cassert>
// copy back dx/dy and calculate rx/ry
void TealeafCudaChunk::calcrxry
(double dt, double * rx, double * ry)
{
double dx, dy;
cudaMemcpy(&dx, halo_exchange_depth + celldx, sizeof(double), cudaMemcpyDeviceToHost);
cudaMemcpy(&dy, halo_exchange_depth + celldy, sizeof(double), cudaMemcpyDeviceToHost);
cudaDeviceSynchronize();
CUDA_ERR_CHECK;
*rx = dt/(dx*dx);
*ry = dt/(dy*dy);
}
extern "C" void tea_leaf_calc_2norm_kernel_cuda_
(int* norm_array, double* norm)
{
cuda_chunk.tea_leaf_calc_2norm_kernel(*norm_array, norm);
}
/********************/
extern "C" void tea_leaf_cheby_init_kernel_cuda_
(const double * ch_alphas, const double * ch_betas, int* n_coefs,
const double * theta)
{
cuda_chunk.tea_leaf_kernel_cheby_init(ch_alphas, ch_betas, *n_coefs,
*theta);
}
extern "C" void tea_leaf_cheby_iterate_kernel_cuda_
(const int * cheby_calc_step)
{
cuda_chunk.tea_leaf_kernel_cheby_iterate(*cheby_calc_step);
}
void TealeafCudaChunk::tea_leaf_calc_2norm_kernel
(int norm_array, double* norm)
{
if (norm_array == 0)
{
// norm of u0
CUDALAUNCH(device_tea_leaf_calc_2norm, u0, u0, reduce_buf_1);
}
else if (norm_array == 1)
{
// norm of r
CUDALAUNCH(device_tea_leaf_calc_2norm, vector_r, vector_r, reduce_buf_1);
}
else if (norm_array == 2)
{
if (preconditioner_type != TL_PREC_NONE)
{
CUDALAUNCH(device_tea_leaf_calc_2norm, vector_r, vector_z, reduce_buf_1);
}
else
{
CUDALAUNCH(device_tea_leaf_calc_2norm, vector_r, vector_r, reduce_buf_1);
}
}
else
{
DIE("Invalid value '%d' for norm_array passed, should be [0, 1, 2]", norm_array);
}
CUDA_ERR_CHECK;
ReduceToHost<double>::sum(reduce_buf_1, norm, num_blocks);
}
void TealeafCudaChunk::upload_ch_coefs
(const double * ch_alphas, const double * ch_betas,
const int n_coefs)
{
size_t ch_buf_sz = n_coefs*sizeof(double);
if (ch_alphas_device == NULL && ch_betas_device == NULL)
{
cudaMalloc((void**) &ch_alphas_device, ch_buf_sz);
cudaMalloc((void**) &ch_betas_device, ch_buf_sz);
}
// upload to device
cudaMemcpy(ch_alphas_device, ch_alphas, ch_buf_sz, cudaMemcpyHostToDevice);
cudaMemcpy(ch_betas_device, ch_betas, ch_buf_sz, cudaMemcpyHostToDevice);
}
void TealeafCudaChunk::tea_leaf_kernel_cheby_init
(const double * ch_alphas, const double * ch_betas, int n_coefs,
const double theta)
{
assert(tea_solver == TEA_ENUM_CHEBYSHEV);
upload_ch_coefs(ch_alphas, ch_betas, n_coefs);
CUDA_ERR_CHECK;
CUDALAUNCH(device_tea_leaf_cheby_solve_init_p, u, u0,
vector_p, vector_r, vector_w, tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky,
theta);
// update p
CUDALAUNCH(device_tea_leaf_cheby_solve_calc_u, u, vector_p);
}
void TealeafCudaChunk::tea_leaf_kernel_cheby_iterate
(const int cheby_calc_step)
{
CUDALAUNCH(device_tea_leaf_cheby_solve_calc_p, u, u0,
vector_p, vector_r, vector_w, tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky,
ch_alphas_device, ch_betas_device,
cheby_calc_step-1);
CUDALAUNCH(device_tea_leaf_cheby_solve_calc_u, u, vector_p);
}
/********************/
// CG solver functions
extern "C" void tea_leaf_cg_init_kernel_cuda_
(double * rro)
{
cuda_chunk.tea_leaf_init_cg(rro);
}
extern "C" void tea_leaf_cg_calc_w_kernel_cuda_
(double * pw)
{
cuda_chunk.tea_leaf_kernel_cg_calc_w(pw);
}
extern "C" void tea_leaf_cg_calc_ur_kernel_cuda_
(double * alpha, double * rrn)
{
cuda_chunk.tea_leaf_kernel_cg_calc_ur(*alpha, rrn);
}
extern "C" void tea_leaf_cg_calc_p_kernel_cuda_
(double * beta)
{
cuda_chunk.tea_leaf_kernel_cg_calc_p(*beta);
}
/********************/
void TealeafCudaChunk::tea_leaf_init_cg
(double * rro)
{
assert(tea_solver == TEA_ENUM_CG || tea_solver == TEA_ENUM_CHEBYSHEV || tea_solver == TEA_ENUM_PPCG);
if (preconditioner_type == TL_PREC_JAC_BLOCK)
{
CUDALAUNCH(device_tea_leaf_block_init, vector_r,
vector_z, tri_cp, tri_bfp, vector_Kx, vector_Ky);
CUDALAUNCH(device_tea_leaf_block_solve, vector_r,
vector_z, tri_cp, tri_bfp, vector_Kx, vector_Ky);
}
else if (preconditioner_type == TL_PREC_JAC_DIAG)
{
CUDALAUNCH(device_tea_leaf_init_jac_diag, vector_Mi, vector_Kx, vector_Ky);
}
// init Kx, Ky
CUDALAUNCH(device_tea_leaf_cg_solve_init_p, vector_p, vector_r,
vector_z, vector_Mi, reduce_buf_2);
ReduceToHost<double>::sum(reduce_buf_2, rro, num_blocks);
}
void TealeafCudaChunk::tea_leaf_kernel_cg_calc_w
(double* pw)
{
CUDALAUNCH(device_tea_leaf_cg_solve_calc_w, reduce_buf_3,
vector_p, vector_w, vector_Kx, vector_Ky);
ReduceToHost<double>::sum(reduce_buf_3, pw, num_blocks);
}
void TealeafCudaChunk::tea_leaf_kernel_cg_calc_ur
(double alpha, double* rrn)
{
CUDALAUNCH(device_tea_leaf_cg_solve_calc_ur, alpha, u, vector_p,
vector_r, vector_w, vector_z, tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky, reduce_buf_4);
ReduceToHost<double>::sum(reduce_buf_4, rrn, num_blocks);
}
void TealeafCudaChunk::tea_leaf_kernel_cg_calc_p
(double beta)
{
CUDALAUNCH(device_tea_leaf_cg_solve_calc_p, beta, vector_p, vector_r, vector_z);
}
/********************/
extern "C" void tea_leaf_jacobi_solve_kernel_cuda_
(double * error)
{
cuda_chunk.tea_leaf_kernel_jacobi(error);
}
void TealeafCudaChunk::tea_leaf_kernel_jacobi
(double* error)
{
CUDALAUNCH(device_tea_leaf_jacobi_copy_u, u, vector_Mi);
CUDALAUNCH(device_tea_leaf_jacobi_solve, vector_Kx, vector_Ky,
u0, u, vector_Mi, reduce_buf_1);
ReduceToHost<double>::sum(reduce_buf_1, error, num_blocks);
}
/********************/
extern "C" void tea_leaf_common_init_kernel_cuda_
(const int * coefficient, double * dt, double * rx, double * ry,
int * zero_boundary, int * reflective_boundary)
{
cuda_chunk.tea_leaf_common_init(*coefficient, *dt, rx, ry,
zero_boundary, *reflective_boundary);
}
// used by both
extern "C" void tea_leaf_common_finalise_kernel_cuda_
(void)
{
cuda_chunk.tea_leaf_finalise();
}
extern "C" void tea_leaf_calc_residual_cuda_
(void)
{
cuda_chunk.tea_leaf_calc_residual();
}
void TealeafCudaChunk::tea_leaf_common_init
(int coefficient, double dt, double * rx, double * ry,
int * zero_boundary, int reflective_boundary)
{
if (coefficient != COEF_CONDUCTIVITY && coefficient != COEF_RECIP_CONDUCTIVITY)
{
DIE("Unknown coefficient %d passed to tea leaf\n", coefficient);
}
calcrxry(dt, rx, ry);
CUDALAUNCH(device_tea_leaf_init_common, density, energy1,
vector_Kx, vector_Ky, *rx, *ry, coefficient);
if (!reflective_boundary)
{
int zero_left = zero_boundary[0];
int zero_right = zero_boundary[1];
int zero_bottom = zero_boundary[2];
int zero_top = zero_boundary[3];
CUDALAUNCH(device_tea_leaf_zero_boundaries, vector_Kx, vector_Ky,
zero_left,
zero_right,
zero_bottom,
zero_top);
}
generate_chunk_init_u(energy1);
}
// both
void TealeafCudaChunk::tea_leaf_finalise
(void)
{
CUDALAUNCH(device_tea_leaf_finalise, density, u, energy1);
}
void TealeafCudaChunk::tea_leaf_calc_residual
(void)
{
CUDALAUNCH(device_tea_leaf_calc_residual, u, u0, vector_r,
vector_Kx, vector_Ky);
}
/********PPCG stuff********/
extern "C" void tea_leaf_ppcg_init_constants_cuda_
(const double * ch_alphas, const double * ch_betas,
int* n_inner_steps)
{
cuda_chunk.ppcg_init_constants(ch_alphas, ch_betas, *n_inner_steps);
}
/* A new initialisation routine */
extern "C" void tea_leaf_ppcg_init_kernel_cuda_
(const int * step, double * rro)
{
cuda_chunk.ppcg_init(*step, rro);
}
extern "C" void tea_leaf_ppcg_init_sd_kernel_cuda_
(const double * theta)
{
cuda_chunk.ppcg_init_sd(*theta);
}
/* Update to init_sd */
extern "C" void tea_leaf_ppcg_init_sd_new_kernel_cuda_
(const double * theta)
{
cuda_chunk.ppcg_init_sd_new(*theta);
}
/* New store the residual for later use */
extern "C" void tea_leaf_ppcg_store_r_kernel_cuda_()
{
cuda_chunk.ppcg_store_r();
}
/* New update_z */
extern "C" void tea_leaf_ppcg_update_z_kernel_cuda_()
{
cuda_chunk.ppcg_update_z();
}
/* New calculate norm of (r-rstore)*z */
extern "C" void tea_leaf_ppcg_calc_rrn_kernel_cuda_(double* norm)
{
cuda_chunk.tea_leaf_ppcg_calc_rrn_kernel(norm);
}
/* Main inner loop */
extern "C" void tea_leaf_ppcg_inner_kernel_cuda_
(int * ppcg_cur_step, int * bounds_extra,
int * chunk_neighbours)
{
cuda_chunk.ppcg_inner(*ppcg_cur_step, *bounds_extra, chunk_neighbours);
}
void TealeafCudaChunk::ppcg_init_constants
(const double * ch_alphas, const double * ch_betas,
const int n_inner_steps)
{
upload_ch_coefs(ch_alphas, ch_betas, n_inner_steps);
}
/* New initialisation */
void TealeafCudaChunk::ppcg_init
(const int step, double * rro)
{
CUDALAUNCH(device_tea_leaf_ppcg_solve_init,
vector_p, vector_r, vector_sd, vector_z, tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky, step, reduce_buf_1);
CUDA_ERR_CHECK;
ReduceToHost<double>::sum(reduce_buf_1, rro, num_blocks);
}
void TealeafCudaChunk::ppcg_init_sd
(double theta)
{
CUDALAUNCH(device_tea_leaf_ppcg_solve_init_sd,
vector_r, vector_sd, vector_z, tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky, theta);
}
/* New update to init_sd */
void TealeafCudaChunk::ppcg_init_sd_new
(double theta)
{
CUDALAUNCH(device_tea_leaf_ppcg_solve_init_sd_new,
vector_r, vector_sd, vector_z, vector_rtemp, vector_utemp, theta);
}
/* New ppcg_store_r */
void TealeafCudaChunk::ppcg_store_r()
{
CUDALAUNCH(device_tea_leaf_ppcg_store_r,
vector_r, vector_r_store);
}
/* New ppcg_update_z */
void TealeafCudaChunk::ppcg_update_z()
{
CUDALAUNCH(device_tea_leaf_ppcg_update_z, vector_z, vector_utemp);
}
/* New ppcg_calc_rrn */
void TealeafCudaChunk::tea_leaf_ppcg_calc_rrn_kernel(double* norm)
{
// norm of (r-rstore)*z
CUDALAUNCH(device_tea_leaf_calc_rrn, vector_r_store, vector_r, vector_z, reduce_buf_1);
CUDA_ERR_CHECK;
ReduceToHost<double>::sum(reduce_buf_1, norm, num_blocks);
}
void TealeafCudaChunk::ppcg_inner
(int ppcg_cur_step, int bounds_extra,
int * chunk_neighbours)
{
int step_depth = halo_exchange_depth - bounds_extra;
int step_offset[2] = {step_depth, step_depth};
int step_global_size[2] = {
x_max + (halo_exchange_depth-step_depth)*2,
y_max + (halo_exchange_depth-step_depth)*2};
kernel_info_t kernel_info = kernel_info_map.at("device_tea_leaf_ppcg_solve_update_r");
kernel_info.kernel_x_max = bounds_extra;
kernel_info.kernel_y_max = bounds_extra;
if (chunk_neighbours[CHUNK_LEFT - 1] == EXTERNAL_FACE)
{
step_offset[0] = halo_exchange_depth;
step_global_size[0] -= (halo_exchange_depth-step_depth);
}
if (chunk_neighbours[CHUNK_RIGHT - 1] == EXTERNAL_FACE)
{
step_global_size[0] -= (halo_exchange_depth-step_depth);
kernel_info.kernel_x_max = 0;
}
if (chunk_neighbours[CHUNK_BOTTOM - 1] == EXTERNAL_FACE)
{
step_offset[1] = halo_exchange_depth;
step_global_size[1] -= (halo_exchange_depth-step_depth);
}
if (chunk_neighbours[CHUNK_TOP - 1] == EXTERNAL_FACE)
{
step_global_size[1] -= (halo_exchange_depth-step_depth);
kernel_info.kernel_y_max = 0;
}
kernel_info.x_offset = step_offset[0];
kernel_info.y_offset = step_offset[1];
step_global_size[0] -= step_global_size[0] % LOCAL_X;
step_global_size[0] += LOCAL_X;
step_global_size[1] -= step_global_size[1] % LOCAL_Y;
step_global_size[1] += LOCAL_Y;
dim3 matrix_power_grid_dim = dim3(
step_global_size[0]/LOCAL_X,
step_global_size[1]/LOCAL_Y);
TIME_KERNEL_BEGIN;
device_tea_leaf_ppcg_solve_update_r
<<<matrix_power_grid_dim, block_shape>>>
(kernel_info, vector_rtemp, vector_Kx, vector_Ky, vector_sd);
CUDA_ERR_CHECK;
TIME_KERNEL_END(device_tea_leaf_ppcg_solve_update_r);
TIME_KERNEL_BEGIN;
device_tea_leaf_ppcg_solve_calc_sd_new
<<<matrix_power_grid_dim, block_shape>>>
(kernel_info,
vector_r, vector_sd, vector_z, vector_rtemp, vector_utemp,
tri_cp, tri_bfp,
vector_Mi, vector_Kx, vector_Ky,
ch_alphas_device, ch_betas_device, ppcg_cur_step - 1);
CUDA_ERR_CHECK;
TIME_KERNEL_END(device_tea_leaf_ppcg_solve_calc_sd_new);
}
extern "C" void tea_leaf_ppcg_calc_2norm_kernel_cuda_
(double* norm)
{
cuda_chunk.tea_leaf_ppcg_calc_2norm_kernel(norm);
}
void TealeafCudaChunk::tea_leaf_ppcg_calc_2norm_kernel
(double* norm)
{
CUDALAUNCH(device_tea_leaf_calc_2norm, vector_r, vector_z, reduce_buf_1);
CUDA_ERR_CHECK;
ReduceToHost<double>::sum(reduce_buf_1, norm, num_blocks);
}
extern "C" void tea_leaf_ppcg_calc_p_kernel_cuda_
(double * beta)
{
cuda_chunk.tea_leaf_kernel_ppcg_calc_p(*beta);
}
void TealeafCudaChunk::tea_leaf_kernel_ppcg_calc_p
(double beta)
{
CUDALAUNCH(device_tea_leaf_ppcg_solve_calc_p, beta, vector_p, vector_z);
}