cufft question

vivekv80 · March 5, 2009, 10:46pm

I am doing a simple Complex to Complex FFT, but I get all sort of errors and I am not sure why.

[codebox]// includes, system

#include <stdlib.h>

#include <stdio.h>

#include <string.h>

#include <math.h>

#include <time.h>

// includes, project

#include <cufft.h>

#include <cutil.h>

float frand (void)

{

float value;

value = ((float) rand()/(RAND_MAX));

return value;

}

global void conv_real2complex(float *a, cufftComplex *c, int nx, int ny)

{

int i = blockIdx.x * blockDim.x + threadIdx.x;

int j = blockIdx.y * blockDim.y + threadIdx.y;



if(i<nx && j<ny)

{

	c[i*nx+j].x = a[i*nx+j];

	c[i*nx+j].y = 0;

}

}

// Complex data type

typedef float2 Complex;

// Simple utility function to check for CUDA runtime errors

void checkCUDAError(const char *msg);

// Main program

int main (int argc, char**argv)

{

clock_t start = clock();

int i;

float *zone1, *zone1_d;

cufftComplex *in1, *in1_d, *in2, *in2_d;	

int j;

int nx = 64;

int ny = 64;

int nyh = (ny/2) + 1;;

unsigned int seed = 123456789;



// malloc arrays on host

cudaMallocHost((void**) &in1, sizeof(cufftComplex) * nx * ny);

cudaMallocHost((void**) &in2, sizeof(cufftComplex) * nx * ny);

cudaMallocHost((void**) &zone1, sizeof(float) * nx * ny);



// allocate arrays on device

Complex *out, *out_d;



cudaMalloc((void**) &in1_d, sizeof(cufftComplex) * nx * ny);

cudaMalloc((void**) &out_d, sizeof(cufftComplex) * nx * ny);

cudaMallocHost((void**) &out, sizeof(cufftComplex) * nx * ny); // on Host



srand(seed);



for ( i = 0; i < nx; i++ )

  {

    for ( j = 0; j < ny; j++ )

    {

      zone1[i*ny+j] = frand ( );

    }

  }



// print input host data --debug

printf ( "\n" );

printf ( "  Input Data:\n" );

printf ( "\n" );

for ( i = 0; i < nx; i++ )

 {

   for ( j = 0; j < ny; j++ )

   {

     printf ( "  %4d  %4d  %12f\n", i, j, zone1[i*ny+j] );

   }

 }



cudaMalloc((void**) &zone1_d, sizeof(float) * nx * ny);

cudaMemcpy(zone1_d, zone1, sizeof(cufftReal) * nx * ny, cudaMemcpyHostToDevice);



dim3 grid(32,16);

dim3 block(2,4);

conv_real2complex <<< grid, block >>> (zone1, in1_d, nx, ny);



// create plan for CUDA FFT

cufftHandle plan_forward;

cufftPlan2d(&plan_forward, nx, ny, CUFFT_C2C);



cufftExecC2C(plan_forward, in1_d, out_d, CUFFT_FORWARD);



// recreate input array	

cudaMalloc((void **)&in2_d, sizeof(cufftComplex) * nx * ny);



// backward plan

cufftHandle plan_backward;

cufftPlan2d(&plan_backward, nx, ny, CUFFT_C2C);



cufftExecC2C(plan_backward, (cufftComplex *)out_d, (cufftComplex *)in2_d, CUFFT_INVERSE);

// copy arrays to host

cudaMemcpy(out, out_d, sizeof(cufftComplex) * nx * nyh, cudaMemcpyDeviceToHost);

cudaMemcpy(in2, in2_d, sizeof(cufftComplex) * nx * ny, cudaMemcpyDeviceToHost);

	

// Check for any CUDA errors

checkCUDAError("cudaMemcpy calls");



// Print FFT output --debug

printf ( "\n" );

printf ( "  Output FFT Coefficients:\n" );

printf ( "\n" );

for (i = 0; i < nx * ny; i++)

{

    printf ("  %4d  %12f  %12f\n", i, out[i].x, out[i].y);

}



// Print recovered inverse FFT input --debug

printf ( "\n" );

printf ( "  Recovered input data divided by NX * NY:\n" );

printf ( "\n" );

for (i = 0; i < nx * ny; i++)

{

    printf ("  %4d  %12f  %12f\n", i, in2[i].x, in2[i].y);

}

// Free up allocated memory

cufftDestroy(plan_forward);

cufftDestroy(plan_backward);



cudaFree(in1_d);

cudaFree(in2_d);

cudaFree(out_d);



// Check for any CUDA errors

checkCUDAError("cudaFree");



free(in1);

free(in2);

free(out);

// Check elapsed time

printf("\n\n Elapsed time = %f\n\n", ((float)clock()-start)/CLOCKS_PER_SEC);

return 0;

}

void checkCUDAError(const char *msg)

{

cudaError_t err = cudaGetLastError();

if( cudaSuccess != err) 

{

    fprintf(stderr, "Cuda error: %s: %s.\n", msg, cudaGetErrorString( err) );

    exit(-1);

}

}[/codebox]

This compiles perfectly in emulation mode. However this fails on the device.

I see this error on device:

[codebox]

running and generating the output file

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/config.cu, line 331

cufft: ERROR: CUFFT_ALLOC_FAILED

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/cufft.cu, line 147

cufft: ERROR: CUFFT_INVALID_PLAN

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/config.cu, line 331

cufft: ERROR: CUFFT_ALLOC_FAILED

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/cufft.cu, line 147

cufft: ERROR: CUFFT_INVALID_PLAN

Cuda error: cudaMemcpy calls: invalid device pointer. [/codebox]

I did a gdb on the executable and saw that the code fails at the

[codebox]Breakpoint 1, main (argc=1, argv=0x7fffbe4e5e98) at cufft_ctc.cu:113

113 conv_real2complex <<< grid, block >>> (zone1, in1_d, nx, ny);

(gdb) s

__device_stub__Z17conv_real2complexPfP6float2ii (__par0=0x2b91eda03000, __par1=0x3a90000, __par2=64, __par3=64)

at /tmp/tmpxft_00005231_00000000-1_cufft_ctc.cudafe1.stub.c:13

13 /tmp/tmpxft_00005231_00000000-1_cufft_ctc.cudafe1.stub.c: No such file or directory.

in /tmp/tmpxft_00005231_00000000-1_cufft_ctc.cudafe1.stub.c

(gdb) s

main (argc=1, argv=0x7fffbe4e5e98) at cufft_ctc.cu:117

117 cufftPlan2d(&plan_forward, nx, ny, CUFFT_C2C);

(gdb) s

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/config.cu, line 331

cufft: ERROR: CUFFT_ALLOC_FAILED

119 cufftExecC2C(plan_forward, in1_d, out_d, CUFFT_FORWARD);

[/codebox]

The conv_real2complex function is same as mfatica’s presentation slides at SC08. Has someone seen this error?

Thanks in advance.

mfatica · March 5, 2009, 11:27pm

From a quick scan:

You are passing the wrong pointer zone1 instead of zone1_d
(not an error) Following your naming scheme, the call to the kernel should be <<< block, grid>>> not <<<grid, block>>> if you were planning to have 512 threads
(not an error ) there is no need to define a forward and a backward plan, the direction is specified in the execution

vivekv80 · March 6, 2009, 12:21am

Passing zone1_d makes the program compile on the device.

When I run a gdb on the executable, I see this:

[codebox]

Breakpoint 1, main (argc=1, argv=0x7fff2f00f9c8) at cufft_ctc.cu:113

113 conv_real2complex <<< block, grid >>> (zone1_d, in1_d, nx, ny);

(gdb) s

__device_stub__Z17conv_real2complexPfP6float2ii (__par0=0x3ab0000, __par1=0x3a90000, __par2=64, __par3=64)

at /tmp/tmpxft_000052af_00000000-1_cufft_ctc.cudafe1.stub.c:13

13 /tmp/tmpxft_000052af_00000000-1_cufft_ctc.cudafe1.stub.c: No such file or directory.

in /tmp/tmpxft_000052af_00000000-1_cufft_ctc.cudafe1.stub.c

[/codebox]

What does that mean? How do we know if something is wrong with the kernel ??

Also, Thanks for your prompt reply to my previous question.

vivekv80 · March 6, 2009, 3:48pm

I am doing 2 FFT computations in the same program.

[codebox]cutResetTimer(timer);

    cutStartTimer(timer);

// create plan for CUDA FFT

cufftHandle plan_forward1;

cufftResult status1 = CUFFT_SAFE_CALL(cufftPlan2d(&plan_forward1, Nx, Ny, CUFFT_C2C));

if (status1 != CUFFT_SUCCESS)

{

	printf("Error creating forward FFT plan!\n");

} 



CUFFT_SAFE_CALL(cufftExecC2C(plan_forward1, in1_d, out1_d, CUFFT_FORWARD));

cudaThreadSynchronize();



cutStopTimer( timer );  // Stop timer

optimizedTime = cutGetTimerValue(timer);

printf("Optimized average FFT1 computation time: %0.3f ms\n\n", optimizedTime);



//Destroy CUFFT context

    CUFFT_SAFE_CALL(cufftDestroy(plan_forward1));



//FFT2

cutResetTimer(timer);

    cutStartTimer(timer);

// create plan for CUDA FFT

cufftHandle plan_forward2;

cufftResult status2 = CUFFT_SAFE_CALL(cufftPlan2d(&plan_forward2, Nx, Ny, CUFFT_C2C));

if (status2 != CUFFT_SUCCESS)

{

	printf("Error creating forward FFT plan!\n");

} 



CUFFT_SAFE_CALL(cufftExecC2C(plan_forward2, in2_d, out2_d, CUFFT_FORWARD));

cudaThreadSynchronize();



cutStopTimer( timer );  // Stop timer

optimizedTime = cutGetTimerValue(timer);

printf("Optimized average FFT2 computation time: %0.3f ms\n\n", optimizedTime);

//Destroy CUFFT context

    CUFFT_SAFE_CALL(cufftDestroy(plan_forward2)); [/codebox]

My gdb output:

404 CUFFT_SAFE_CALL(cufftExecC2C(plan_forward1, in1_d, out1_d, CUFFT_FORWARD));

(gdb) s

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/execute.cu, line 1070

cufft: ERROR: CUFFT_EXEC_FAILED

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/execute.cu, line 316

cufft: ERROR: CUFFT_EXEC_FAILED

cufft: ERROR: /root/cuda-stuff/sw/rel/gpgpu/toolkit/r2.1/cufft/src/cufft.cu, line 151

cufft: ERROR: CUFFT_EXEC_FAILED

Seems like the second FFT computation does not show errors. Only the first FFT execution fails. Is there something extra to be done for multiple CUFFT computations?

Thanks

vivekv80 · March 9, 2009, 2:52am

In CUDA, if we use the cufftComplex data type, how is the normalization done?
for double data type, you can do this: z1/(double)(nx * ny)

When I try to do z1.x/(cufftComplex)(nx * ny)
I get an error that no constructor for converting float2 to int.

Is there a workaround?

jack · March 9, 2009, 3:14am

I think that the complex data type is just a renamed float2 struct. I don’t think there’s any operators or casts available for it. What are you trying to do there?

vivekv80 · March 9, 2009, 3:17am

I have a set of cufftComplex values, I do a FFT and then a IFFT and I want to compare the output of the FFT with the input to the FFT.

IF it’s a double I can always compare using z1/(double)(nx * ny)
How do I do it for cufftComplex. Also these values are compared with values in a Matlab program that uses “double” values

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