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#include <Python.h>
#define PY_ARRAY_UNIQUE_SYMBOL GPAW_ARRAY_API
#define NO_IMPORT_ARRAY
#include <numpy/arrayobject.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <float.h>
#include <complex.h>
#include <sys/types.h>
#include <sys/time.h>
#include "../gpu-complex.h"
#ifndef GPU_USE_COMPLEX
# define MBLAS_BLOCK_X (128)
# define MAX_BLOCKS (65535)
# define MIN_BLOCKS (MAX_BLOCKS)
#endif
#define MAPNAME(f) Zgpu(f ## _dotu)
#define MAPFUNC(a,b) MULTT((a), (b))
#include "reduce.cpp"
#undef MAPNAME
#undef MAPFUNC
#define MAPNAME(f) Zgpu(f ## _dotc)
#define MAPFUNC(a,b) MULTT(CONJ(a), (b))
#include "reduce.cpp"
#undef MAPNAME
#undef MAPFUNC
__global__ void Zgpu(multi_scal_kernel)(int n, const Tgpu *alpha, Tgpu *a)
{
int i = blockIdx.x * MBLAS_BLOCK_X + threadIdx.x;
int k = blockIdx.y;
a += n * k;
while (i < n) {
a[i] = MULTT(a[i], alpha[k]);
i += gridDim.x * MBLAS_BLOCK_X;
}
}
__global__ void Zgpu(multi_axpy_kernel)(int n, const Tgpu *alpha,
const Tgpu *a, Tgpu *b)
{
int k = blockIdx.y;
int i = blockIdx.x * MBLAS_BLOCK_X + threadIdx.x;
a += n * k;
b += n * k;
while (i < n) {
IADD(b[i], MULTT(a[i], alpha[k]));
i += gridDim.x * MBLAS_BLOCK_X;
}
}
#ifndef GPU_USE_COMPLEX
#define GPU_USE_COMPLEX
#include "mblas.cpp"
extern "C"
PyObject* multi_scal_gpu(PyObject *self, PyObject *args)
{
void *alpha_gpu;
void *x_gpu;
PyObject *x_shape;
PyArray_Descr *type, *a_type;
if (!PyArg_ParseTuple(args, "nOnOO", &alpha_gpu, &a_type,
&x_gpu, &x_shape, &type))
return NULL;
int n = (int) PyLong_AsLong(PyTuple_GetItem(x_shape, 1));
Py_ssize_t nd = PyTuple_Size(x_shape);
for (int d=2; d < nd; d++) {
n *= (int) PyLong_AsLong(PyTuple_GetItem(x_shape, d));
}
int nvec = (int) PyLong_AsLong(PyTuple_GetItem(x_shape, 0));
if (type->type_num == NPY_DOUBLE) {
int gridx = MIN(MAX((n + MBLAS_BLOCK_X - 1) / MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_scal_kernel, dimGrid, dimBlock, 0, 0,
n, (double *) alpha_gpu, (double*) x_gpu);
} else if (a_type->type_num == NPY_DOUBLE) {
double *alpha = (double*) (alpha_gpu);
int gridx = MIN(MAX((2 * n + MBLAS_BLOCK_X - 1)
/ MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_scal_kernel, dimGrid, dimBlock, 0, 0,
2 * n, alpha, (double *) x_gpu);
} else {
gpuDoubleComplex *alpha = (gpuDoubleComplex*) (alpha_gpu);
int gridx = MIN(MAX((n + MBLAS_BLOCK_X - 1) / MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_scal_kernelz, dimGrid, dimBlock, 0, 0,
n, alpha, (gpuDoubleComplex*) x_gpu);
}
gpuCheckLastError();
if (PyErr_Occurred())
return NULL;
else
Py_RETURN_NONE;
}
extern "C"
PyObject* multi_axpy_gpu(PyObject *self, PyObject *args)
{
void *alpha_gpu;
void *x_gpu;
void *y_gpu;
PyObject *x_shape, *y_shape;
PyArray_Descr *type, *a_type;
if (!PyArg_ParseTuple(args, "nOnOnOO", &alpha_gpu, &a_type,
&x_gpu, &x_shape, &y_gpu, &y_shape, &type))
return NULL;
int n = (int) PyLong_AsLong(PyTuple_GetItem(x_shape, 1));
Py_ssize_t nd = PyTuple_Size(x_shape);
for (int d=2; d < nd; d++) {
n *= (int) PyLong_AsLong(PyTuple_GetItem(x_shape, d));
}
int nvec = (int) PyLong_AsLong(PyTuple_GetItem(x_shape, 0));
if (type->type_num == NPY_DOUBLE) {
double *alpha = (double*) alpha_gpu;
int gridx = MIN(MAX((n + MBLAS_BLOCK_X - 1) / MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_axpy_kernel, dimGrid, dimBlock, 0, 0,
n, alpha, (double*) x_gpu, (double*) y_gpu);
} else if (a_type->type_num == NPY_DOUBLE) {
double *alpha = (double*) alpha_gpu;
int gridx = MIN(MAX((2 * n + MBLAS_BLOCK_X - 1)
/ MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_axpy_kernel, dimGrid, dimBlock, 0, 0,
2 * n, alpha, (double*) x_gpu, (double*) y_gpu);
} else {
gpuDoubleComplex *alpha = (gpuDoubleComplex*) alpha_gpu;
int gridx = MIN(MAX((n + MBLAS_BLOCK_X - 1) / MBLAS_BLOCK_X, 1),
MAX_BLOCKS);
int gridy = nvec;
dim3 dimBlock(MBLAS_BLOCK_X, 1);
dim3 dimGrid(gridx, gridy);
gpuLaunchKernel(
multi_axpy_kernelz, dimGrid, dimBlock, 0, 0,
n, alpha, (gpuDoubleComplex*) x_gpu,
(gpuDoubleComplex*) y_gpu);
}
gpuCheckLastError();
if (PyErr_Occurred())
return NULL;
else
Py_RETURN_NONE;
}
extern "C"
PyObject* multi_dotu_gpu(PyObject *self, PyObject *args)
{
void *a_gpu;
void *b_gpu;
void *res_gpu;
PyObject *a_shape;
PyArray_Descr *type;
if (!PyArg_ParseTuple(args, "nOnOn", &a_gpu, &a_shape, &b_gpu,
&type, &res_gpu))
return NULL;
int n = (int) PyLong_AsLong(PyTuple_GetItem(a_shape, 1));
for (int i=2; i < PyTuple_Size(a_shape); i++) {
n *= (int) PyLong_AsLong(PyTuple_GetItem(a_shape, i));
}
int nvec = (int) PyLong_AsLong(PyTuple_GetItem(a_shape, 0));
if (type->type_num == NPY_DOUBLE) {
double *result = (double *) res_gpu;
reducemap_dotu((double*) a_gpu, (double*) b_gpu, result, n,
nvec);
} else {
gpuDoubleComplex *result = (gpuDoubleComplex *) res_gpu;
reducemap_dotuz((gpuDoubleComplex *) a_gpu,
(gpuDoubleComplex *) b_gpu,
result, n, nvec);
}
gpuCheckLastError();
if (PyErr_Occurred())
return NULL;
else
Py_RETURN_NONE;
}
extern "C"
PyObject* multi_dotc_gpu(PyObject *self, PyObject *args)
{
void *a_gpu;
void *b_gpu;
void *res_gpu;
PyObject *a_shape;
PyArray_Descr *type;
if (!PyArg_ParseTuple(args, "nOnOn", &a_gpu, &a_shape, &b_gpu,
&type, &res_gpu))
return NULL;
int n = (int) PyLong_AsLong(PyTuple_GetItem(a_shape, 1));
Py_ssize_t nd=PyTuple_Size(a_shape);
for (int i = 2; i < nd; i++) {
n *= (int) PyLong_AsLong(PyTuple_GetItem(a_shape, i));
}
int nvec = (int) PyLong_AsLong(PyTuple_GetItem(a_shape, 0));
if (type->type_num == NPY_DOUBLE) {
double *result = (double *) res_gpu;
reducemap_dotc((double*) a_gpu, (double*) b_gpu, result, n,
nvec);
} else {
gpuDoubleComplex *result = (gpuDoubleComplex *) res_gpu;
reducemap_dotcz((gpuDoubleComplex*) a_gpu,
(gpuDoubleComplex*) b_gpu,
result, n, nvec);
}
gpuCheckLastError();
if (PyErr_Occurred())
return NULL;
else
Py_RETURN_NONE;
}
#endif
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