Getting "too many requested resources to launch"

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi there!

I’m a new comer to CUDA, and i’m trying to program a code related to isosurface rendering. In this program I call the following function:

device bool searchValue2(tGPUMatryoshka gpuMatryoshka, int searchPosVal1, int val2)

{

int beginPos, searchPos, lastPos;

beginPos = gpuMatryoshka.cols_value2_index[searchPosVal1];

if(searchPosVal1!=(gpuMatryoshka.nCols-1))

	lastPos = gpuMatryoshka.cols_value2_index[searchPosVal1+1];

else lastPos = gpuMatryoshka.nActiveCells - 1;



bool foundElem, foundPos;

foundElem = foundPos = false;

foundElem = val2<10;



if(lastPos<beginPos)

	return false;

foundElem = (gpuMatryoshka.cols_value2[beginPos]==val2);

foundPos = ((lastPos-beginPos)<=2);

if(beginPos!=lastPos)

    foundElem = foundElem || (gpuMatryoshka.cols_value2[lastPos]==val2);

if(gpuMatryoshka.cols_value2[beginPos]<val2 && !foundElem && !foundPos)

    while(true)

    {

        searchPos = (beginPos+lastPos)/2;

        foundElem = (gpuMatryoshka.cols_value2[beginPos]==val2) || (gpuMatryoshka.cols_value2[searchPos]==val2) || (gpuMatryoshka.cols_value2[lastPos]==val2);

        foundPos = (beginPos==lastPos) || (beginPos+1==lastPos);

        if(foundElem || foundPos)

            break;

        if(gpuMatryoshka.cols_value2[searchPos]<val2)

        {

            beginPos = searchPos;

        }

        else

        {

            lastPos = searchPos;

        }

    }

return foundElem;

}

If i comment the code in red the function doesn’t give me any problem, but if i try to run the program with this code there, the program send a erro that reads: “too many requested resources to launch”. The program runs in emurelease mode and execute correctly, however i think this happens because in emurelease mode the pc execute the code in CPU, and don’t simulate the GPU threads.

When I try to search the problem on google I found out that the this error is related to registers or shared memory. In this code I don’t make use of shared memory, this only leave me 1 option to explore: Register overusage. Is there some one that could teach me a way to calculate the registers used by my GPU kernel? Does anyone know why this code probably don’t run correctly in GPU?

Thanks alot in advance.

2

it’s most likely too many registers. just reduce the numer of threads per block.
you can see the register usage of your kernel when compiling with --ptxas-options=-v or in the .cubin file.

3

Can you please tell me the directory where Visual Studio create the .cubin file?

Thanks for your answer… :)

4

You can get the .cubin file in your project folder where your source file exists.

Thanks n Regards,
Sadhana