static void Main(string[] args)
{
// Create a new instance of CUDA class, select 1st device.
CUDA cuda = new CUDA(0, true);
// Prepare parameters.
int n = 16 * 1024 * 1024;
uint nbytes = (uint)(n * sizeof(int));
int value = 26;
// allocate host memory
int[] a = new int[n];
// allocate device memory
CUdeviceptr d_a = cuda.Allocate<int>(a);
CUDADriver.cuMemsetD8(d_a, 0xff, nbytes);
// load module
cuda.LoadModule(Path.Combine(Environment.CurrentDirectory, "asyncAPI.ptx"));
CUfunction func = cuda.GetModuleFunction("increment_kernel");
// set kernel launch configuration
cuda.SetFunctionBlockShape(func, 512, 1, 1);
// create cuda event handles
CUevent start = cuda.CreateEvent();
CUevent stop = cuda.CreateEvent();
// asynchronously issue work to the GPU (all to stream 0)
CUstream stream = new CUstream();
cuda.RecordEvent(start);
cuda.CopyHostToDeviceAsync<int>(d_a, a, stream);
// set parameters for kernel function
cuda.SetParameter(func, 0, (uint)d_a.Pointer);
cuda.SetParameter(func, IntPtr.Size, (uint)value);
cuda.SetParameterSize(func, (uint)(IntPtr.Size + 4));
// actually launch kernel
cuda.LaunchAsync(func, n / 512, 1, stream);
// wait for every thing to finish, then start copy back data
cuda.CopyDeviceToHostAsync<int>(d_a, a, stream);
cuda.RecordEvent(stop);
// print the cpu and gpu times
Console.WriteLine("time spent executing by the GPU: {0} ms", cuda.ElapsedTime(start, stop));
// check the output for correctness
if (CorrectOutput(a, value))
Console.WriteLine("Test PASSED");
else
Console.WriteLine("Test FAILED");
// release resources
cuda.DestroyEvent(start);
cuda.DestroyEvent(stop);
cuda.Free(d_a);
}
static void Main(string[] args)
{
// Create a new instance of CUDA class, select 1st device.
CUDA cuda = new CUDA(0, true);
// Prepare parameters.
int n = 16 * 1024 * 1024;
uint nbytes = (uint)(n * sizeof(int));
int value = 26;
// allocate host memory
int[] a = new int[n];
// allocate device memory
CUdeviceptr d_a = cuda.Allocate <int>(a);
CUDADriver.cuMemsetD8(d_a, 0xff, nbytes);
// load module
cuda.LoadModule(Path.Combine(Environment.CurrentDirectory, "asyncAPI.ptx"));
CUfunction func = cuda.GetModuleFunction("increment_kernel");
// set kernel launch configuration
cuda.SetFunctionBlockShape(func, 512, 1, 1);
// create cuda event handles
CUevent start = cuda.CreateEvent();
CUevent stop = cuda.CreateEvent();
// asynchronously issue work to the GPU (all to stream 0)
CUstream stream = new CUstream();
cuda.RecordEvent(start);
cuda.CopyHostToDeviceAsync <int>(d_a, a, stream);
// set parameters for kernel function
cuda.SetParameter(func, 0, (uint)d_a.Pointer);
cuda.SetParameter(func, IntPtr.Size, (uint)value);
cuda.SetParameterSize(func, (uint)(IntPtr.Size + 4));
// actually launch kernel
cuda.LaunchAsync(func, n / 512, 1, stream);
// wait for every thing to finish, then start copy back data
cuda.CopyDeviceToHostAsync <int>(d_a, a, stream);
cuda.RecordEvent(stop);
// print the cpu and gpu times
Console.WriteLine("time spent executing by the GPU: {0} ms", cuda.ElapsedTime(start, stop));
// check the output for correctness
if (CorrectOutput(a, value))
{
Console.WriteLine("Test PASSED");
}
else
{
Console.WriteLine("Test FAILED");
}
// release resources
cuda.DestroyEvent(start);
cuda.DestroyEvent(stop);
cuda.Free(d_a);
}