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OpenclMatrix: template Scalar type

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This commit is contained in:
Arne Morten Kvarving 2024-04-15 16:33:20 +02:00
parent 5fbd7635cd
commit be59203179
4 changed files with 32 additions and 18 deletions
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9
opm/simulators/linalg/bda/opencl/CPR.cpp
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@ -187,7 +187,7 @@ void CPR<block_size>::init_opencl_buffers() {
}
d_weights = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * N);
d_rs = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * N);
d_mat = std::make_unique<OpenclMatrix>(context.get(), Nb, Nb, nnzb, block_size);
d_mat = std::make_unique<OpenclMatrix<double>>(context.get(), Nb, Nb, nnzb, block_size);
d_coarse_y = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * Nb);
d_coarse_x = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * Nb);
}
@ -453,9 +453,10 @@ void CPR<block_size>::analyzeAggregateMaps() {
template <unsigned int block_size>
void CPR<block_size>::amg_cycle_gpu(const int level, cl::Buffer &y, cl::Buffer &x) {
OpenclMatrix *A = &d_Amatrices[level];
OpenclMatrix *R = &d_Rmatrices[level];
void CPR<block_size>::amg_cycle_gpu(const int level, cl::Buffer& y, cl::Buffer& x)
{
OpenclMatrix<double>* A = &d_Amatrices[level];
OpenclMatrix<double>* R = &d_Rmatrices[level];
int Ncur = A->Nb;
if (level == num_levels - 1) {

4
opm/simulators/linalg/bda/opencl/CPR.hpp
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@ -60,7 +60,7 @@ private:
int num_levels;
std::vector<double> weights, coarse_vals, coarse_x, coarse_y;
std::vector<Matrix<double>> Amatrices, Rmatrices; // scalar matrices that represent the AMG hierarchy
std::vector<OpenclMatrix> d_Amatrices, d_Rmatrices; // scalar matrices that represent the AMG hierarchy
std::vector<OpenclMatrix<double>> d_Amatrices, d_Rmatrices; // scalar matrices that represent the AMG hierarchy
std::vector<std::vector<int> > PcolIndices; // prolongation does not need a full matrix, only store colIndices
std::vector<cl::Buffer> d_PcolIndices;
std::vector<std::vector<double> > invDiags; // inverse of diagonal of Amatrices
@ -68,7 +68,7 @@ private:
std::vector<cl::Buffer> d_t, d_f, d_u; // intermediate vectors used during amg cycle
std::unique_ptr<cl::Buffer> d_rs; // use before extracting the pressure
std::unique_ptr<cl::Buffer> d_weights; // the quasiimpes weights, used to extract pressure
std::unique_ptr<OpenclMatrix> d_mat; // stores blocked matrix
std::unique_ptr<OpenclMatrix<double>> d_mat; // stores blocked matrix
std::unique_ptr<cl::Buffer> d_coarse_y, d_coarse_x; // stores the scalar vectors
std::once_flag opencl_buffers_allocated; // only allocate OpenCL Buffers once

23
opm/simulators/linalg/bda/opencl/OpenclMatrix.cpp
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@ -31,12 +31,19 @@ namespace Opm
namespace Accelerator
{
void OpenclMatrix::upload(cl::CommandQueue *queue, double *vals, int *cols, int *rows) {
template<class Scalar>
void OpenclMatrix<Scalar>::upload(cl::CommandQueue* queue,
Scalar* vals, int* cols, int* rows)
{
std::vector<cl::Event> events(3);
cl_int err = queue->enqueueWriteBuffer(nnzValues, CL_FALSE, 0, sizeof(double) * block_size * block_size * nnzbs, vals, nullptr, &events[0]);
err |= queue->enqueueWriteBuffer(colIndices, CL_FALSE, 0, sizeof(int) * nnzbs, cols, nullptr, &events[1]);
err |= queue->enqueueWriteBuffer(rowPointers, CL_FALSE, 0, sizeof(int) * (Nb + 1), rows, nullptr, &events[2]);
cl_int err = queue->enqueueWriteBuffer(nnzValues, CL_FALSE, 0,
sizeof(Scalar) * block_size * block_size * nnzbs,
vals, nullptr, &events[0]);
err |= queue->enqueueWriteBuffer(colIndices, CL_FALSE, 0, sizeof(int) * nnzbs,
cols, nullptr, &events[1]);
err |= queue->enqueueWriteBuffer(rowPointers, CL_FALSE, 0, sizeof(int) * (Nb + 1),
rows, nullptr, &events[2]);
cl::WaitForEvents(events);
events.clear();
@ -46,7 +53,8 @@ void OpenclMatrix::upload(cl::CommandQueue *queue, double *vals, int *cols, int
}
}
void OpenclMatrix::upload(cl::CommandQueue* queue, Matrix<double>* matrix)
template<class Scalar>
void OpenclMatrix<Scalar>::upload(cl::CommandQueue* queue, Matrix<Scalar>* matrix)
{
if (block_size != 1) {
OPM_THROW(std::logic_error, "Error trying to upload a BlockedMatrix to OpenclMatrix with different block_size");
@ -55,7 +63,8 @@ void OpenclMatrix::upload(cl::CommandQueue* queue, Matrix<double>* matrix)
upload(queue, matrix->nnzValues.data(), matrix->colIndices.data(), matrix->rowPointers.data());
}
void OpenclMatrix::upload(cl::CommandQueue* queue, BlockedMatrix<double>* matrix)
template<class Scalar>
void OpenclMatrix<Scalar>::upload(cl::CommandQueue* queue, BlockedMatrix<Scalar>* matrix)
{
if (matrix->block_size != block_size) {
OPM_THROW(std::logic_error, "Error trying to upload a BlockedMatrix to OpenclMatrix with different block_size");
@ -64,5 +73,7 @@ void OpenclMatrix::upload(cl::CommandQueue* queue, BlockedMatrix<double>* matrix
upload(queue, matrix->nnzValues, matrix->colIndices, matrix->rowPointers);
}
template class OpenclMatrix<double>;
} // namespace Accelerator
} // namespace Opm

14
opm/simulators/linalg/bda/opencl/OpenclMatrix.hpp
View File

@ -34,23 +34,25 @@ template<class Scalar> class BlockedMatrix;
/// This struct resembles a csr matrix, only doubles are supported
/// The matrix data is stored in OpenCL Buffers
class OpenclMatrix {
template<class Scalar>
class OpenclMatrix
{
public:
OpenclMatrix(cl::Context *context, int Nb_, int Mb_, int nnzbs_, unsigned int block_size_)
: Nb(Nb_),
Mb(Mb_),
nnzbs(nnzbs_),
block_size(block_size_)
{
nnzValues = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * block_size * block_size * nnzbs);
nnzValues = cl::Buffer(*context, CL_MEM_READ_WRITE,
sizeof(Scalar) * block_size * block_size * nnzbs);
colIndices = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * nnzbs);
rowPointers = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (Nb + 1));
}
void upload(cl::CommandQueue *queue, double *vals, int *cols, int *rows);
void upload(cl::CommandQueue* queue, Matrix<double>* matrix);
void upload(cl::CommandQueue* queue, BlockedMatrix<double>* matrix);
void upload(cl::CommandQueue* queue, Scalar* vals, int* cols, int* rows);
void upload(cl::CommandQueue* queue, Matrix<Scalar>* matrix);
void upload(cl::CommandQueue* queue, BlockedMatrix<Scalar>* matrix);
cl::Buffer nnzValues;
cl::Buffer colIndices;