Fixed: How To Fix Printf In Cuda Core.

I would like to know if Ad and Bd are what I am thinking and see if the function is actually being called.

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Devices capable of calculating support tickets 2.x or higher than printf from the CUDA core. ¹ (you must use CUDA 3 version 1 or higher). Here's a small example:

  #include __global__ gap print_kernel ()   printf ("Hello everyone from block% d, thread% d  n", blockIdx.x, threadIdx.x);int main ()    print_kernel <<< 10, 10 >>> ();    cudaDeviceSynchronize (); 

You must indicate with nvcc that you have build support for Compute Capability 2.0 with the -arch banner, otherwise the program will fail at compile timeyations:

  nvcc -arch compute_20 printf. Important note 

What needs to be documented is that each CUDA thread gives us a call to printf . In this example, we see one line of output!

  Hello block of 1 extension 0Hello block of 1, stream 1Hello cut from 1, wires 2Hello block from 1st thread 3Hello block 1, line 4Hello block of 1, stream 5....Hello from a thread down the street 8, 3Hello from block thread a lot, 4Greetings from the flow of blocks 8, 5Hello block stream 8, 6Hello from block flow 8, 7Hello from thread block 8, 8Hello from everywhere from thread block 8, 9 

In general, it is recommended to limit the number of threads calling printf to avoid spam selection.

  if (threadIdx.x == 0)    printf (...); 

The output of
• printf is stored in a fixed-size buffer. When everything is full, the old buffer output is overwritten. The default buffer size is 1MB and can then be set using a customized cudaDeviceSetLimit (cudaLimitPrintfFifoSize, size_t size) .

• How do I enable printf() in CUDA?

  To enable native printf () to be used on devices with compute capability> = 2.0, it is important to compile with CC from at least CC 2.0, and also disable the default settings that the product for CC 1.0 contains. Right-click the .cu-Complete file in your project, select Properties, select Configuration Properties | CUDA C / C ++ | Device.

  This barrier is being rinsed

  • single boot with kernel boot
  • Synchronization (onexample, cudaDeviceSynchronize () )
  • Block memory loading (e.g. cudaMemcpy (...) )
  • Upload / Download module
  • Destruction of context

  It is important to note that this list does not include output. If the call if you want cudaDeviceSynchronize () were removed from the above provider example, we would see the missing output.

To enable the use of Plain On printf () -Gizmos from Compute Capability> = 2.0, it is useful to compile for CC with at least CC 2.0 and disable the default setting, Build is enabled for CC 1.0.

Right click on a specific .cu in the project file, name Properties , select Configuration Properties | CUDA C / C ++ | device . Click Generate Code online, click the triangle, select Edit . In each code generation dialog, uncheck Inherit from parent or project standards , enter compute_20, sm_20 by clicking OK in the top window.

You can share this code to print any CUDA kernel family:

  # while __CUDA_ARCH __> = 200printf ("% d  n", tid);#end if 

One way to solve this problem is to use the cuPrintf function, which is a very important part of printing from kernels. Copy its files cuPrintf.cu and cuPrintf.From cuh to the directory

  C:  ProgramData  NVIDIA Corporation  NVIDIA GPU Computing SDK 4.2  C  src  simplePrintf 

in your project folder. Then add the title document cuPrintf.cuh to your project and contribute

  #include "cuPrintf.cu" 

about your code. Then your code can be written in one of the following formats:

  #include "cuPrintf.cu"__global__ void testKernel (int val)  cuPrintf ("Value% d  n" is equal to: val);int main ()  cudaPrintfInit ();  testKernel <<< 2, 3 >>> (10);  cudaPrintfDisplay (stdout, true);  cudaPrintfEnd ();  Returns 0;