private static extern CUBLASStatusv2 cublasCrot_v2(cublasHandle handle, int n, IntPtr x, int incx, IntPtr y, int incy, ref float c, ref ComplexF s);
public CUBLASStatusv2 cublasCaxpy(cublasHandle handle, int n, ref ComplexF alpha, IntPtr x, int incx, IntPtr y, int incy)
{
return cublasCaxpy_v2(handle, n, ref alpha, x, incx, y, incy);
}
/// <summary>
/// Subtracts value y from value x.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value to be subtracted.</param>
/// <returns>New value.</returns>
public static ComplexF Subtract(ComplexF x, ComplexF y)
{
x.x = x.x - y.x;
x.y = x.y - y.y;
return(x);
}
private static extern CUBLASStatusv2 cublasCaxpy_v2(cublasHandle handle, int n, ref ComplexF alpha, IntPtr x, int incx, IntPtr y, int incy);
/// <summary> /// ROTGs the specified a. /// </summary> /// <param name="a">A.</param> /// <param name="b">The b.</param> /// <param name="c">The c.</param> /// <param name="s">The s.</param> public abstract void ROTG(ComplexF[] a, ComplexF[] b, float[] c, ComplexF[] s);
/// <summary>
/// Conjugates the specified value.
/// </summary>
/// <param name="x">The value.</param>
/// <returns>Conjugated value.</returns>
public static ComplexF Conj(ComplexF x)
{
return(new ComplexF(x.x, -1 * x.y));
}
/// <summary>
/// Adds value y to value x.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value to be added.</param>
/// <returns>New value.</returns>
public static ComplexF Add(ComplexF x, ComplexF y)
{
x.x = x.x + y.x;
x.y = x.y + y.y;
return x;
}
/// <summary>
/// ROTs the specified vectorx.
/// </summary>
/// <param name="vectorx">The vectorx.</param>
/// <param name="vectory">The vectory.</param>
/// <param name="c">The c.</param>
/// <param name="s">The s.</param>
/// <param name="n">The n.</param>
/// <param name="rowx">The rowx.</param>
/// <param name="incx">The incx.</param>
/// <param name="rowy">The rowy.</param>
/// <param name="incy">The incy.</param>
public void ROT(ComplexF[] vectorx, ComplexF[] vectory, float c, float s, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1)
{
ROT(vectorx, vectory, new[] { c }, new[] { s }, n, rowx, incx, rowy, incy);
}
/// <summary>
/// Gets the absolute of the specified value.
/// </summary>
/// <param name="x">The value.</param>
/// <returns>Absolute.</returns>
public static float Abs(ComplexF x)
{
float a = x.x;
float b = x.y;
float v, w, t;
a = Math.Abs(a);
b = Math.Abs(b);
if (a > b)
{
v = a;
w = b;
}
else
{
v = b;
w = a;
}
t = w / v;
t = 1.0f + t * t;
t = v * GMath.Sqrt(t);
if ((v == 0.0f) || (v > 3.402823466e38f) || (w > 3.402823466e38f))
{
t = v + w;
}
return t;
}
/// <summary>
/// Conjugates the specified value.
/// </summary>
/// <param name="x">The value.</param>
/// <returns>Conjugated value.</returns>
public static ComplexF Conj(ComplexF x)
{
return new ComplexF(x.x, -1 * x.y);
}
/// <summary>
/// Divides value x by y.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value two.</param>
/// <returns>New value.</returns>
public static ComplexF Divide(ComplexF x, ComplexF y)
{
float s = Math.Abs(y.x) + Math.Abs(y.y);
float oos = 1.0f / s;
float ars = x.x * oos;
float ais = x.y * oos;
float brs = y.x * oos;
float bis = y.y * oos;
s = (brs * brs) + (bis * bis);
oos = 1.0f / s;
ComplexF quot = new ComplexF(((ars * brs) + (ais * bis)) * oos,
((ais * brs) - (ars * bis)) * oos);
return quot;
}
public static void Execute()
{
CudafyModule km = CudafyTranslator.Cudafy();
GPGPU gpu = CudafyHost.GetDevice(CudafyModes.Target);
gpu.LoadModule(km);
// 2D
Console.WriteLine("kernel");
ComplexF[,] host_A = new ComplexF[XSIZE, YSIZE];
ComplexF[,] host_B = new ComplexF[XSIZE, YSIZE];
ComplexF[,] host_C = new ComplexF[XSIZE, YSIZE];
int i = 0;
for (int x = 0; x < XSIZE; x++)
for (int y = 0; y < YSIZE; y++)
{
host_A[x, y] = new ComplexF(i, i);
host_B[x, y] = new ComplexF(2, 0);
i++;
}
ComplexF[,] dev_A = gpu.CopyToDevice(host_A);
ComplexF[,] dev_B = gpu.CopyToDevice(host_B);
ComplexF[,] dev_C = gpu.Allocate<ComplexF>(XSIZE, YSIZE);
Console.WriteLine("complexAdd");
gpu.Launch(XSIZE, 1, "complexAdd", dev_A, dev_B, dev_C);
gpu.CopyFromDevice(dev_C, host_C);
i = 0;
bool pass = true;
for (int x = 0; x < XSIZE; x++)
{
for (int y = 0; y < YSIZE && pass; y++)
{
ComplexF expected = ComplexF.Add(host_A[x, y], host_B[x, y]);
pass = host_C[x, y].x == expected.x && host_C[x, y].y == expected.y;
}
}
Console.WriteLine(pass ? "Pass" : "Fail");
Console.WriteLine("complexSub");
gpu.Launch(XSIZE, 1, "complexSub", dev_A, dev_B, dev_C);
gpu.CopyFromDevice(dev_C, host_C);
i = 0;
pass = true;
for (int x = 0; x < XSIZE; x++)
{
for (int y = 0; y < YSIZE && pass; y++)
{
ComplexF expected = ComplexF.Subtract(host_A[x, y], host_B[x, y]);
pass = host_C[x, y].x == expected.x && host_C[x, y].y == expected.y;
}
}
Console.WriteLine(pass ? "Pass" : "Fail");
Console.WriteLine("complexMpy");
gpu.Launch(XSIZE, 1, "complexMpy", dev_A, dev_B, dev_C);
gpu.CopyFromDevice(dev_C, host_C);
i = 0;
pass = true;
for (int x = 0; x < XSIZE; x++)
{
for (int y = 0; y < YSIZE && pass; y++)
{
ComplexF expected = ComplexF.Multiply(host_A[x, y], host_B[x, y]);
//Console.WriteLine("{0} {1} : {2} {3}", host_C[x, y].R, host_C[x, y].I, expected.R, expected.I);
pass = Verify(host_C[x, y], expected, 1e-14F);
i++;
}
}
Console.WriteLine(pass ? "Pass" : "Fail");
Console.WriteLine("complexDiv");
gpu.Launch(XSIZE, 1, "complexDiv", dev_A, dev_B, dev_C);
gpu.CopyFromDevice(dev_C, host_C);
i = 0;
pass = true;
for (int x = 0; x < XSIZE; x++)
{
for (int y = 0; y < YSIZE && pass; y++)
{
ComplexF expected = ComplexF.Divide(host_A[x, y], host_B[x, y]);
//Console.WriteLine("{0} {1} : {2} {3}", host_C[x, y].R, host_C[x, y].I, expected.R, expected.I);
if (i > 0)
pass = Verify(host_C[x, y], expected, 1e-13F);
i++;
}
}
Console.WriteLine(pass ? "Pass" : "Fail");
Console.WriteLine("complexAbs");
gpu.Launch(XSIZE, 1, "complexAbs", dev_A, dev_C);
gpu.CopyFromDevice(dev_C, host_C);
i = 0;
pass = true;
for (int x = 0; x < XSIZE; x++)
{
for (int y = 0; y < YSIZE && pass; y++)
{
float expected = ComplexF.Abs(host_A[x, y]);
pass = Verify(host_C[x, y].x, expected, 1e-2F);
//Console.WriteLine("{0} {1} : {2}", host_C[x, y].x, host_C[x, y].y, expected);
i++;
}
}
Console.WriteLine(pass ? "Pass" : "Fail");
gpu.FreeAll();
}
public static void complexAbs(GThread thread, ComplexF[,] a, ComplexF[,] c)
{
int x = thread.blockIdx.x;
int y = 0;
float j = 1.0F;
float k = 2.0F;
ComplexF cf = new ComplexF(3 + j, 7 + k);
while (y < YSIZE)
{
c[x, y].x = ComplexF.Abs(a[x, y]);
c[x, y].y = cf.y;// 0.0F;
y++;
}
}
public CUBLASStatusv2 cublasCrot(cublasHandle handle, int n, IntPtr x, int incx, IntPtr y, int incy, ref float c, ref ComplexF s)
{
return cublasCrot_v2(handle, n, x, incx, y, incy, ref c, ref s);
}
/// <summary>
/// Subtracts value y from value x.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value to be subtracted.</param>
/// <returns>New value.</returns>
public static ComplexF Subtract(ComplexF x, ComplexF y)
{
x.x = x.x - y.x;
x.y = x.y - y.y;
return x;
}
public static void complexDiv(GThread thread, ComplexF[,] a, ComplexF[,] b, ComplexF[,] c)
{
int x = thread.blockIdx.x;
int y = 0;
while (y < YSIZE)
{
c[x, y] = ComplexF.Divide(a[x, y], b[x, y]);
y++;
}
}
/// <summary>
/// Multiplies value x and y.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value two.</param>
/// <returns>New value.</returns>
public static ComplexF Multiply(ComplexF x, ComplexF y)
{
ComplexF c = new ComplexF();
c.x = x.x * y.x - x.y * y.y;
c.y = x.x * y.y + x.y * y.x;
return c;
}
/// <summary> /// ROTs the specified vectorx. /// </summary> /// <param name="vectorx">The vectorx.</param> /// <param name="vectory">The vectory.</param> /// <param name="c">The c.</param> /// <param name="s">The s.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <param name="rowy">The rowy.</param> /// <param name="incy">The incy.</param> public abstract void ROT(ComplexF[] vectorx, ComplexF[] vectory, float[] c, float[] s, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1);
/// <summary> /// SCALs the specified alpha. /// </summary> /// <param name="alpha">The alpha.</param> /// <param name="vectorx">The vectorx.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> public abstract void SCAL(float[] alpha, ComplexF[] vectorx, int n = 0, int rowx = 0, int incx = 1);
/// <summary>
/// SCALs the specified alpha.
/// </summary>
/// <param name="alpha">The alpha.</param>
/// <param name="vectorx">The vectorx.</param>
/// <param name="n">The n.</param>
/// <param name="rowx">The rowx.</param>
/// <param name="incx">The incx.</param>
public void SCAL(float alpha, ComplexF[] vectorx, int n = 0, int rowx = 0, int incx = 1)
{
SCAL(new []{ alpha }, vectorx, n, rowx, incx);
}
/// <summary> /// IAMINs the specified vectorx. /// </summary> /// <param name="vectorx">The vectorx.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <returns></returns> public abstract int IAMIN(ComplexF[] vectorx, int n = 0, int rowx = 0, int incx = 1);
/// <summary>
/// Adds value y to value x.
/// </summary>
/// <param name="x">Value one.</param>
/// <param name="y">Value to be added.</param>
/// <returns>New value.</returns>
public static ComplexF Add(ComplexF x, ComplexF y)
{
x.x = x.x + y.x;
x.y = x.y + y.y;
return(x);
}
/// <summary>
/// AXPYs the specified alpha.
/// </summary>
/// <param name="alpha">The alpha.</param>
/// <param name="vectorx">The vectorx.</param>
/// <param name="vectory">The vectory.</param>
/// <param name="n">The n.</param>
/// <param name="rowx">The rowx.</param>
/// <param name="incx">The incx.</param>
/// <param name="rowy">The rowy.</param>
/// <param name="incy">The incy.</param>
public void AXPY(ComplexF alpha, ComplexD[] vectorx, ComplexD[] vectory, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1)
{
AXPY(new [] { alpha }, vectorx, vectory, n, rowx, incx, rowy, incy);
}
public void SetUp()
{
_gpu = CudafyHost.CreateDevice(CudafyModes.Target);
Console.WriteLine("CUDA driver version={0}", _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("CUFFT version={0}", _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;
}
}
}
/// <summary> /// AXPYs the specified alpha. /// </summary> /// <param name="alpha">The alpha.</param> /// <param name="vectorx">The vectorx.</param> /// <param name="vectory">The vectory.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <param name="rowy">The rowy.</param> /// <param name="incy">The incy.</param> protected abstract void AXPY(ComplexF[] alpha, ComplexD[] vectorx, ComplexD[] vectory, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1);
private static extern CUBLASStatusv2 cublasCdotc_v2(cublasHandle handle, int n, IntPtr x, int incx, IntPtr y, int incy, ref ComplexF result);
/// <summary> /// COPYs the specified vectorx. /// </summary> /// <param name="vectorx">The vectorx.</param> /// <param name="vectory">The vectory.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <param name="rowy">The rowy.</param> /// <param name="incy">The incy.</param> public abstract void COPY(ComplexF[] vectorx, ComplexF[] vectory, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1);
private static extern CUBLASStatusv2 cublasCrotg_v2(cublasHandle handle, ref ComplexF a, ref ComplexF b, ref float c, ref ComplexF s);
/// <summary> /// DOTCs the specified vectorx. /// </summary> /// <param name="vectorx">The vectorx.</param> /// <param name="vectory">The vectory.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <param name="rowy">The rowy.</param> /// <param name="incy">The incy.</param> /// <returns></returns> public abstract ComplexF DOTC(ComplexF[] vectorx, ComplexF[] vectory, int n = 0, int rowx = 0, int incx = 1, int rowy = 0, int incy = 1);
public CUBLASStatusv2 cublasCdotc(cublasHandle handle, int n, IntPtr x, int incx, IntPtr y, int incy, ref ComplexF result)
{
return cublasCdotc_v2(handle, n, x, incx, y, incy, ref result);
}
/// <summary> /// NRs the m2. /// </summary> /// <param name="vectorx">The vectorx.</param> /// <param name="n">The n.</param> /// <param name="rowx">The rowx.</param> /// <param name="incx">The incx.</param> /// <returns></returns> public abstract float NRM2(ComplexF[] vectorx, int n = 0, int rowx = 0, int incx = 1);
public CUBLASStatusv2 cublasCrotg(cublasHandle handle, ref ComplexF a, ref ComplexF b, ref float c, ref ComplexF s)
{
return cublasCrotg_v2(handle, ref a, ref b, ref c, ref s);
}
private static bool Verify(ComplexF x, ComplexF y, float delta)
{
if (Math.Abs(x.x - y.x) > delta || Math.Abs(x.y - y.y) > delta)
return false;
return true;
}
