static void exec_gaussblur_app(DATA *image_out, DATA *image_in, ARGUMENTS *settings) {
size_t size_in_bytes = settings->size*settings->size*(PIXEL_CHANNELS*sizeof(DATA));
DATA *image_in_gpu = (DATA *)acc_malloc(size_in_bytes);
DATA *image_out_gpu = (DATA *)acc_malloc(size_in_bytes);
uint32_t e;
uint32_t i;
for (e=0; e<settings->energy_loops; ++e) {
acc_memcpy_to_device(image_in_gpu , image_in , size_in_bytes);
acc_memcpy_to_device(image_out_gpu, image_out, size_in_bytes);
for (i=0; i<settings->checkpoints; ++i) {
gaussblur_calc_gpu_compute((uint16_t *)image_in_gpu , (uint16_t *)image_out_gpu, settings->size);
gaussblur_calc_gpu_compute((uint16_t *)image_out_gpu, (uint16_t *)image_in_gpu , settings->size);
}
acc_memcpy_from_device(image_in , image_in_gpu , size_in_bytes);
acc_memcpy_from_device(image_out, image_out_gpu, size_in_bytes);
}
acc_free(image_in_gpu);
acc_free(image_out_gpu);
image_in_gpu = NULL;
image_out_gpu = NULL;
}
void GPUCopy::copyIn(SimBox *sb) {
h_moleculeData = sb->moleculeData;
h_atomData = sb->atomData;
h_atomCoordinates = sb->atomCoordinates;
h_rollBackCoordinates = sb->rollBackCoordinates;
h_size = sb-> size;
h_primaryIndexes = sb->primaryIndexes;
if (!parallel) {
return;
}
#ifdef _OPENACC
d_moleculeData = (int**)acc_malloc(MOL_DATA_SIZE * sizeof(int *));
assert(d_moleculeData != NULL);
for (int row = 0; row < MOL_DATA_SIZE; row++) {
int *h_moleculeData_row = sb->moleculeData[row];
int *d_moleculeData_row = (int *)acc_copyin(h_moleculeData_row,
sb->numMolecules * sizeof(int));
assert(d_moleculeData_row != NULL);
#pragma acc parallel deviceptr(d_moleculeData)
d_moleculeData[row] = d_moleculeData_row;
}
d_atomData = (Real**)acc_malloc(ATOM_DATA_SIZE * sizeof(Real *));
assert(d_atomData != NULL);
for (int row = 0; row < ATOM_DATA_SIZE; row++) {
Real *h_atomData_row = sb->atomData[row];
Real *d_atomData_row = (Real *)acc_copyin(h_atomData_row, sb->numAtoms * sizeof(Real));
assert(d_atomData_row != NULL);
#pragma acc parallel deviceptr(d_atomData)
d_atomData[row] = d_atomData_row;
}
d_atomCoordinates = (Real**)acc_malloc(NUM_DIMENSIONS * sizeof(Real *));
assert(d_atomCoordinates != NULL);
for (int row = 0; row < NUM_DIMENSIONS; row++) {
Real *h_atomCoordinates_row = sb->atomCoordinates[row];
Real *d_atomCoordinates_row = (Real *)acc_copyin(h_atomCoordinates_row, sb->numAtoms * sizeof(Real));
assert(d_atomCoordinates_row != NULL);
#pragma acc parallel deviceptr(d_atomCoordinates)
d_atomCoordinates[row] = d_atomCoordinates_row;
}
d_rollBackCoordinates = (Real**)acc_malloc(NUM_DIMENSIONS * sizeof(Real *));
assert(d_rollBackCoordinates != NULL);
for (int row = 0; row < NUM_DIMENSIONS; row++) {
Real *h_rollBackCoordinates_row = sb->rollBackCoordinates[row];
Real *d_rollBackCoordinates_row = (Real *)acc_copyin(h_rollBackCoordinates_row, sb->largestMol * sizeof(Real));
assert(d_rollBackCoordinates_row != NULL);
#pragma acc parallel deviceptr(d_rollBackCoordinates)
d_rollBackCoordinates[row] = d_rollBackCoordinates_row;
}
d_primaryIndexes = (int *)acc_copyin(sb->primaryIndexes, sb->numPIdxes * sizeof(int));
d_size = (Real *)acc_copyin(sb->size, NUM_DIMENSIONS * sizeof(Real));
#endif
}
int
main (int argc, char **argv)
{
void *d;
acc_device_t devtype = acc_device_host;
#if ACC_DEVICE_TYPE_nvidia
devtype = acc_device_nvidia;
if (acc_get_num_devices (acc_device_nvidia) == 0)
return 0;
#endif
acc_init (devtype);
d = acc_malloc (0);
if (d != NULL)
abort ();
acc_free (0);
acc_shutdown (devtype);
acc_set_device_type (devtype);
d = acc_malloc (0);
if (d != NULL)
abort ();
acc_shutdown (devtype);
acc_init (devtype);
d = acc_malloc (1024);
if (d == NULL)
abort ();
acc_free (d);
acc_shutdown (devtype);
acc_set_device_type (devtype);
d = acc_malloc (1024);
if (d == NULL)
abort ();
acc_free (d);
acc_shutdown (devtype);
return 0;
}
int
allocate_device_buffer (char ** buffer)
{
#ifdef _ENABLE_CUDA_
cudaError_t cuerr = cudaSuccess;
#endif
switch (options.accel) {
#ifdef _ENABLE_CUDA_
case cuda:
cuerr = cudaMalloc((void **)buffer, MYBUFSIZE);
if (cudaSuccess != cuerr) {
fprintf(stderr, "Could not allocate device memory\n");
return 1;
}
break;
#endif
#ifdef _ENABLE_OPENACC_
case openacc:
*buffer = acc_malloc(MYBUFSIZE);
if (NULL == *buffer) {
fprintf(stderr, "Could not allocate device memory\n");
return 1;
}
break;
#endif
default:
fprintf(stderr, "Could not allocate device memory\n");
return 1;
}
return 0;
}
int
allocate_buffer (void ** buffer, size_t size, enum accel_type type)
{
if (options.target == cpu || options.target == both) {
allocate_host_arrays();
}
size_t alignment = sysconf(_SC_PAGESIZE);
#ifdef _ENABLE_CUDA_
cudaError_t cuerr = cudaSuccess;
#endif
switch (type) {
case none:
return posix_memalign(buffer, alignment, size);
#ifdef _ENABLE_CUDA_
case cuda:
cuerr = cudaMalloc(buffer, size);
if (cudaSuccess != cuerr) {
return 1;
}
else {
return 0;
}
case managed:
cuerr = cudaMallocManaged(buffer, size, cudaMemAttachGlobal);
if (cudaSuccess != cuerr) {
return 1;
}
else {
return 0;
}
#endif
#ifdef _ENABLE_OPENACC_
case openacc:
*buffer = acc_malloc(size);
if (NULL == *buffer) {
return 1;
}
else {
return 0;
}
#endif
default:
return 1;
}
}
int
main (int argc, char **argv)
{
const int N = 256;
int i;
unsigned char *h;
void *d;
acc_init (acc_device_nvidia);
h = (unsigned char *) malloc (N);
for (i = 0; i < N; i++)
{
h[i] = i;
}
d = acc_malloc (N);
acc_memcpy_to_device (d, h, N);
memset (&h[0], 0, N);
acc_memcpy_to_device (d, h, N << 1);
acc_memcpy_from_device (h, d, N);
for (i = 0; i < N; i++)
{
if (h[i] != i)
abort ();
}
acc_free (d);
free (h);
acc_shutdown (acc_device_nvidia);
return 0;
}
int
main (int argc, char **argv)
{
const int N = 256;
unsigned char *h;
void *d;
h = (unsigned char *) malloc (N);
d = acc_malloc (N);
fprintf (stderr, "CheCKpOInT\n");
acc_map_data (h, d, 0);
acc_unmap_data (h);
acc_free (d);
free (h);
return 0;
}
int
main (int argc, char **argv)
{
const int N = 256;
int i;
unsigned char *h;
void *d;
h = (unsigned char *) malloc (N);
for (i = 0; i < N; i++)
{
h[i] = i;
}
d = acc_malloc (N);
fprintf (stderr, "CheCKpOInT\n");
acc_memcpy_to_device (0, h, N);
memset (&h[0], 0, N);
acc_memcpy_from_device (h, d, N);
for (i = 0; i < N; i++)
{
if (h[i] != i)
abort ();
}
acc_free (d);
free (h);
return 0;
}
int
main (int argc, char **argv)
{
const int N = 256;
unsigned char *h;
void *d;
h = (unsigned char *) malloc (N);
d = acc_malloc (N);
acc_map_data (h, d, N);
if (acc_is_present (h, N) != 1)
abort ();
acc_unmap_data (h);
acc_free (d);
free (h);
return 0;
}
int
main (int argc, char **argv)
{
CUdevice dev;
CUfunction delay;
CUmodule module;
CUresult r;
CUstream stream;
unsigned long *a, *d_a, dticks;
int nbytes;
float atime, dtime;
void *kargs[2];
int clkrate;
int devnum, nprocs;
acc_init (acc_device_nvidia);
devnum = acc_get_device_num (acc_device_nvidia);
r = cuDeviceGet (&dev, devnum);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGet failed: %d\n", r);
abort ();
}
r =
cuDeviceGetAttribute (&nprocs, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuDeviceGetAttribute (&clkrate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuModuleLoad (&module, "subr.ptx");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleLoad failed: %d\n", r);
abort ();
}
r = cuModuleGetFunction (&delay, module, "delay");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
abort ();
}
nbytes = nprocs * sizeof (unsigned long);
dtime = 200.0;
dticks = (unsigned long) (dtime * clkrate);
a = (unsigned long *) malloc (nbytes);
d_a = (unsigned long *) acc_malloc (nbytes);
acc_map_data (a, d_a, nbytes);
kargs[0] = (void *) &d_a;
kargs[1] = (void *) &dticks;
r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
acc_set_cuda_stream (0, stream);
init_timers (1);
start_timer (0);
r = cuLaunchKernel (delay, 1, 1, 1, 1, 1, 1, 0, stream, kargs, 0);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
abort ();
}
acc_wait (1);
atime = stop_timer (0);
if (atime < dtime)
{
fprintf (stderr, "actual time < delay time\n");
abort ();
}
start_timer (0);
acc_wait (1);
atime = stop_timer (0);
if (0.010 < atime)
{
fprintf (stderr, "actual time < delay time\n");
abort ();
}
acc_unmap_data (a);
fini_timers ();
free (a);
acc_free (d_a);
acc_shutdown (acc_device_nvidia);
return 0;
}
int
main (int argc, char **argv)
{
CUdevice dev;
CUfunction delay;
CUmodule module;
CUresult r;
CUstream stream;
unsigned long *a, *d_a, dticks;
int nbytes;
float dtime;
void *kargs[2];
int clkrate;
int devnum, nprocs;
acc_init (acc_device_nvidia);
devnum = acc_get_device_num (acc_device_nvidia);
r = cuDeviceGet (&dev, devnum);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGet failed: %d\n", r);
abort ();
}
r =
cuDeviceGetAttribute (&nprocs, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuDeviceGetAttribute (&clkrate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuModuleLoad (&module, "subr.ptx");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleLoad failed: %d\n", r);
abort ();
}
r = cuModuleGetFunction (&delay, module, "delay");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
abort ();
}
nbytes = nprocs * sizeof (unsigned long);
dtime = 200.0;
dticks = (unsigned long) (dtime * clkrate);
a = (unsigned long *) malloc (nbytes);
d_a = (unsigned long *) acc_malloc (nbytes);
acc_map_data (a, d_a, nbytes);
kargs[0] = (void *) &d_a;
kargs[1] = (void *) &dticks;
r = cuStreamCreate (&stream, CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
if (!acc_set_cuda_stream (0, stream))
abort ();
r = cuLaunchKernel (delay, 1, 1, 1, 1, 1, 1, 0, stream, kargs, 0);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
abort ();
}
if (acc_async_test_all () != 0)
{
fprintf (stderr, "asynchronous operation not running\n");
abort ();
}
sleep ((int) (dtime / 1000.f) + 1);
if (acc_async_test_all () != 1)
{
fprintf (stderr, "found asynchronous operation still running\n");
abort ();
}
acc_unmap_data (a);
free (a);
acc_free (d_a);
acc_shutdown (acc_device_nvidia);
exit (0);
}
int
main (int argc, char **argv)
{
CUdevice dev;
CUfunction delay2;
CUmodule module;
CUresult r;
int N;
int i;
CUstream *streams;
unsigned long **a, **d_a, *tid, ticks;
int nbytes;
void *kargs[3];
int clkrate;
int devnum, nprocs;
acc_init (acc_device_nvidia);
devnum = acc_get_device_num (acc_device_nvidia);
r = cuDeviceGet (&dev, devnum);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGet failed: %d\n", r);
abort ();
}
r =
cuDeviceGetAttribute (&nprocs, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuDeviceGetAttribute (&clkrate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, dev);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuDeviceGetAttribute failed: %d\n", r);
abort ();
}
r = cuModuleLoad (&module, "subr.ptx");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleLoad failed: %d\n", r);
abort ();
}
r = cuModuleGetFunction (&delay2, module, "delay2");
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuModuleGetFunction failed: %d\n", r);
abort ();
}
nbytes = sizeof (int);
ticks = (unsigned long) (200.0 * clkrate);
N = nprocs;
streams = (CUstream *) malloc (N * sizeof (void *));
a = (unsigned long **) malloc (N * sizeof (unsigned long *));
d_a = (unsigned long **) malloc (N * sizeof (unsigned long *));
tid = (unsigned long *) malloc (N * sizeof (unsigned long));
for (i = 0; i < N; i++)
{
a[i] = (unsigned long *) malloc (sizeof (unsigned long));
*a[i] = N;
d_a[i] = (unsigned long *) acc_malloc (nbytes);
tid[i] = i;
acc_map_data (a[i], d_a[i], nbytes);
streams[i] = (CUstream) acc_get_cuda_stream (i);
if (streams[i] != NULL)
abort ();
r = cuStreamCreate (&streams[i], CU_STREAM_DEFAULT);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuStreamCreate failed: %d\n", r);
abort ();
}
if (!acc_set_cuda_stream (i, streams[i]))
abort ();
}
for (i = 0; i < N; i++)
{
kargs[0] = (void *) &d_a[i];
kargs[1] = (void *) &ticks;
kargs[2] = (void *) &tid[i];
r = cuLaunchKernel (delay2, 1, 1, 1, 1, 1, 1, 0, streams[i], kargs, 0);
if (r != CUDA_SUCCESS)
{
fprintf (stderr, "cuLaunchKernel failed: %d\n", r);
abort ();
}
ticks = (unsigned long) (50.0 * clkrate);
}
acc_wait_all_async (0);
for (i = 0; i < N; i++)
{
acc_copyout (a[i], nbytes);
if (*a[i] != i)
abort ();
}
free (streams);
for (i = 0; i < N; i++)
{
free (a[i]);
}
free (a);
free (d_a);
free (tid);
acc_shutdown (acc_device_nvidia);
exit (0);
}
