CUDA Kernel Launch Fails with “Invalid Configuration Argument” on RTX 30xx

Accelerated Computing CUDA CUDA Programming and Performance
1

Hi everyone,

I’m encountering an issue while launching a CUDA kernel on an NVIDIA RTX 30xx GPU. I keep getting the following error:

CUDA error: invalid configuration argument

I’ve tried several configurations, but the error persists. Here are the details:

🔍 Environment

  • GPU: NVIDIA RTX 3060

  • CUDA Version: 12.1

  • Driver Version: 535.XX

  • OS: Windows 10 (64-bit)

💻 Code Snippet

__global__ void myKernel(float* data) {
    int idx = threadIdx.x + blockIdx.x * blockDim.x;
    // Simple operation
    data[idx] *= 2.0f;
}

int main() {
    const int size = 1024;
    float* d_data;

    cudaMalloc(&d_data, size * sizeof(float));

    // Launch kernel
    myKernel<<<16, 64>>>(d_data);

    cudaError_t err = cudaGetLastError();
    if (err != cudaSuccess) {
        printf("CUDA launch error: %s\n", cudaGetErrorString(err));
    }

    cudaFree(d_data);
    return 0;
}

❓ What I’ve Tried

  • Verified that size matches blocks * threads.

  • Reduced block and thread counts.

  • Checked that the GPU supports the compute capability.

🟡 Questions

  1. What typically causes the “invalid configuration argument” error on kernel launch?

  2. Are there known issues with CUDA 12.x on RTX 30xx?

  3. Should I adjust my grid/block configuration differently?

🙏 Request

Any guidance, suggestions, or debugging tips would be greatly appreciated!