public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
Console.WriteLine(_gpu.GetDriverVersion());
_fft = GPGPUFFT.Create(_gpu);
_hostInput = new float[N * BATCH];
_hostInputCplx = new ComplexF[N * BATCH];
_hostOutput = new float[N * BATCH];
_hostOutputCplx = new ComplexF[N * BATCH];
_devInput = _gpu.Allocate(_hostInput);
_devInputCplx = _gpu.Allocate(_hostInputCplx);
_devInter = _gpu.Allocate <float>(N * 2 * BATCH);
_devInterCplx = _gpu.Allocate <ComplexF>(N * BATCH);
_devOutput = _gpu.Allocate(_hostOutput);
_devOutputCplx = _gpu.Allocate(_hostOutputCplx);
Console.WriteLine(_fft.GetVersion());
for (int b = 0; b < BATCH; b++)
{
for (int i = 0; i < N; i++)
{
ComplexF cf = new ComplexF();
cf.x = (float)((10.0F * Math.Sin(100 * 2 * Math.PI * i / N * Math.PI / 180)));
cf.y = (float)((10.0F * Math.Sin(200 * 2 * Math.PI * i / N * Math.PI / 180)));
_hostInput[i + b * N] = cf.x;
_hostInputCplx[i + b * N] = cf;
}
}
}
public void Test_TwoThreadTwoGPU()
{
_gpu0 = CudafyHost.CreateDevice(CudafyModes.Target, 0);
_gpu1 = CudafyHost.CreateDevice(CudafyModes.Target, 1);
_gpu0.EnableMultithreading();
_gpu1.EnableMultithreading();
bool j1 = false;
bool j2 = false;
for (int i = 0; i < 10; i++)
{
Console.WriteLine(i);
Thread t1 = new Thread(Test_TwoThreadTwoGPU_Thread0);
Thread t2 = new Thread(Test_TwoThreadTwoGPU_Thread1);
t1.Start();
t2.Start();
j1 = t1.Join(10000);
j2 = t2.Join(10000);
if (!j1 || !j2)
{
break;
}
}
_gpu0.DisableMultithreading();
_gpu0.FreeAll();
_gpu1.DisableMultithreading();
_gpu1.FreeAll();
Assert.IsTrue(j1);
Assert.IsTrue(j2);
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
_hostInput = new double[N * BATCH];
_hostInputCplx = new ComplexD[N * BATCH];
_hostOutput = new double[N * BATCH];
_hostOutputCplx = new ComplexD[N * BATCH];
_devInput = _gpu.Allocate(_hostInput);
_devInputCplx = _gpu.Allocate(_hostInputCplx);
_devInter = _gpu.Allocate <double>(N * 2 * BATCH);
_devInterCplx = _gpu.Allocate <ComplexD>(N * BATCH);
_devOutput = _gpu.Allocate(_hostOutput);
_devOutputCplx = _gpu.Allocate(_hostOutputCplx);
_fft = GPGPUFFT.Create(_gpu);
for (int b = 0; b < BATCH; b++)
{
for (int i = 0; i < N; i++)
{
ComplexD cf = new ComplexD();
cf.x = (double)((10.0F * Math.Sin(100 * 2 * Math.PI * i / N * Math.PI / 180)));
cf.y = (double)((10.0F * Math.Sin(200 * 2 * Math.PI * i / N * Math.PI / 180)));
_hostInput[i + b * N] = cf.x;
_hostInputCplx[i + b * N] = cf;
}
}
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target, CudafyModes.DeviceId);
_uintBufferIn1 = new uint[N];
_uintBufferOut1 = new uint[N];
_uintBufferIn2 = new uint[N];
_uintBufferOut2 = new uint[N];
}
public void SetUp()
{
_gpu0 = CudafyHost.CreateDevice(CudafyModes.Target, 0);
_gpu1 = CudafyHost.CreateDevice(CudafyModes.Target, 1);
_uintBufferIn0 = new uint[N];
_uintBufferOut0 = new uint[N];
_uintBufferIn1 = new uint[N];
_uintBufferOut1 = new uint[N];
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
_blas = GPGPUBLAS.Create(_gpu);
_hostInput = new float[ciROWS, ciCOLS];
_hostInput2 = new float[ciROWS, ciCOLS];
_hostOutput = new float[ciROWS, ciCOLS];
_devPtr = _gpu.Allocate <float>(_hostInput);
_devPtr2 = _gpu.Allocate <float>(_hostOutput);
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
_blas = GPGPUBLAS.Create(_gpu);
Console.Write("BLAS Version={0}", _blas.GetVersion());
_hostInput1 = new float[ciN];
_hostInput2 = new float[ciN];
_hostOutput1 = new float[ciN];
_hostOutput2 = new float[ciN];
_devPtr1 = _gpu.Allocate <float>(_hostInput1);
_devPtr2 = _gpu.Allocate <float>(_hostOutput1);
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
_sparse = GPGPUSPARSE.Create(_gpu);
_hiMatrixMN = new double[M * N];
_hiMatrixMN2 = new double[M * N];
_hoMatrixMN = new double[M * N];
_hoPerVector = new int[M];
_hoPerVector2 = new int[N];
_diPerVector2 = _gpu.Allocate(_hoPerVector2);
_diMatrixMN = _gpu.Allocate(_hiMatrixMN);
_diMatrixMN2 = _gpu.Allocate(_hiMatrixMN2);
_diPerVector = _gpu.Allocate(_hoPerVector);
}
public void SetUp()
{
_gpu0 = CudafyHost.CreateDevice(CudafyModes.Target, 0);
try
{
_gpu1 = CudafyHost.CreateDevice(CudafyModes.Target, 1);
}
catch (Exception)
{
Assert.Ignore("MultiGPUTests expects, at least, 2 device.");
}
_uintBufferIn0 = new uint[N];
_uintBufferOut0 = new uint[N];
_uintBufferIn1 = new uint[N];
_uintBufferOut1 = new uint[N];
}