/** prints a list of the available GPUs to the result of the Tcl interpreter.
Only devices with compute capability of 1.1 or higher are listed, since
atomic operations are required for CUDA-LB. */
static int list_gpus(Tcl_Interp *interp)
{
int deviceCount = cuda_get_n_gpus();
if (deviceCount < 0) {
Tcl_AppendResult(interp, "cannot initialize CUDA", NULL);
return TCL_ERROR;
}
int found = 0;
for (int dev = 0; dev < deviceCount; ++dev) {
// look only for devices with compute capability > 1.1 (for atomic operations)
if (cuda_check_gpu(dev) == ES_OK) {
char id[4 + 64 + TCL_INTEGER_SPACE];
char name[64];
cuda_get_gpu_name(dev, name);
sprintf(id, " {%d %.64s}", dev, name);
Tcl_AppendResult(interp, id, NULL);
found = 1;
}
}
if (found == 0) {
Tcl_AppendResult(interp, "no GPUs present", NULL);
}
return TCL_OK;
}
std::vector<EspressoGpuDevice> cuda_gather_gpus(void) {
int n_gpus = cuda_get_n_gpus();
char proc_name[MPI_MAX_PROCESSOR_NAME];
int proc_name_len;
/* List of local devices */
std::vector<EspressoGpuDevice> devices;
/* Global unique device list (only relevant on master) */
std::vector<EspressoGpuDevice> g_devices;
int *n_gpu_array = 0;
MPI_Get_processor_name(proc_name, &proc_name_len);
/* Truncate to 63 chars to fit struct. */
if(strlen(proc_name) > 63)
proc_name[63] = 0;
for(int i = 0; i < n_gpus; ++i) {
/* Check if device has at least mininum compute capability */
if(cuda_check_gpu(i) == ES_OK) {
EspressoGpuDevice device;
if(cuda_get_device_props(i, device) == ES_OK){
strncpy(device.proc_name, proc_name, 64);
devices.push_back(device);
}
}
}
/** Update n_gpus to number of usable devices */
n_gpus = devices.size();
if(this_node == 0) {
std::set<EspressoGpuDevice, CompareDevices> device_set;
n_gpu_array = new int[n_nodes];
MPI_Gather(&n_gpus, 1, MPI_INT, n_gpu_array, 1, MPI_INT, 0, MPI_COMM_WORLD);
/* insert local devices */
std::copy(devices.begin(), devices.end(), std::inserter(device_set, device_set.begin()));
EspressoGpuDevice device;
MPI_Status s;
/* Get devices from other nodes */
for(int i = 1; i < n_nodes; ++i) {
for(int j = 0; j < n_gpu_array[i]; ++j) {
MPI_Recv(&device, sizeof(EspressoGpuDevice), MPI_BYTE, i, 0, MPI_COMM_WORLD, &s);
device_set.insert(device);
}
}
/* Copy unique devices to result, if any */
std::copy(device_set.begin(), device_set.end(), std::inserter(g_devices, g_devices.begin()));
delete n_gpu_array;
} else {
/* Send number of devices to master */
MPI_Gather(&n_gpus, 1, MPI_INT, n_gpu_array, 1, MPI_INT, 0, MPI_COMM_WORLD);
/* Send devices to maser */
for(std::vector<EspressoGpuDevice>::iterator device = devices.begin();
device != devices.end(); ++device) {
MPI_Send(&(*device), sizeof(EspressoGpuDevice), MPI_BYTE, 0, 0, MPI_COMM_WORLD);
}
}
return g_devices;
}
