Getting an error when trying to build project

Accelerated Computing CUDA CUDA Programming and Performance
1

I was following a tutorial from the below video, and when I attempt to build the project, I get the following output in the console.

1>------ Build started: Project: VectorAdd, Configuration: Debug Win32 ------
1> Compiling CUDA source file kernel.cu…
1>
1> C:\Users\Reid Lowdon\Documents\CUDA Projects\VectorAdd\VectorAdd>“C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe” -gencode=arch=compute_20,code="sm_20,compute_20" --use-local-env --cl-version 2015 -ccbin “C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin” -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -G --keep-dir Debug -maxrregcount=0 --machine 32 --compile -cudart static -g -DWIN32 -D_DEBUG -D_CONSOLE -D_MBCS -Xcompiler “/EHsc /W3 /nologo /Od /FS /Zi /RTC1 /MDd " -o Debug\kernel.cu.obj “C:\Users\Reid Lowdon\Documents\CUDA Projects\VectorAdd\VectorAdd\kernel.cu”
1>C:/Users/Reid Lowdon/Documents/CUDA Projects/VectorAdd/VectorAdd/kernel.cu(45): error : a global function call must be configured
1>CUDACOMPILE : nvcc warning : The ‘compute_20’, ‘sm_20’, and ‘sm_21’ architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
1> kernel.cu
1>C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V140\BuildCustomizations\CUDA 8.0.targets(687,9): error MSB3721: The command ““C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe” -gencode=arch=compute_20,code="sm_20,compute_20" --use-local-env --cl-version 2015 -ccbin “C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin” -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include” -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include” -G --keep-dir Debug -maxrregcount=0 --machine 32 --compile -cudart static -g -DWIN32 -D_DEBUG -D_CONSOLE -D_MBCS -Xcompiler “/EHsc /W3 /nologo /Od /FS /Zi /RTC1 /MDd " -o Debug\kernel.cu.obj “C:\Users\Reid Lowdon\Documents\CUDA Projects\VectorAdd\VectorAdd\kernel.cu”” exited with code 2.
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========

Here is my code:

#include "cuda_runtime.h"
#include "device_launch_parameters.h"

#include <stdio.h>
#include <stdlib.h>

#define SIZE 1024

__global__ void GPUVectorAdd(int *a, int *b, int *c, int n) {
	int i = threadIdx.x;

	if (i < n) {
		c[i] = a[i] + b[i];
	}
}

void VectorAdd(int *a, int *b, int *c, int n) {
	int i;

	for (i = 0; i < n; i++) {
		c[i] = a[i] + b[i];
	}
}

int main() {
	int *a, *b, *c;
	int *d_a, *d_b, *d_c;

	cudaMalloc(&d_a, SIZE * sizeof(int));
	cudaMalloc(&d_b, SIZE * sizeof(int));
	cudaMalloc(&d_c, SIZE * sizeof(int));

	for (int i = 0; i < SIZE; i++) {
		a[i] = i;
		b[i] = i;
		c[i] = 0;
	}

	cudaMemcpy(d_a, a, SIZE * sizeof(int), cudaMemcpyHostToDevice);
	cudaMemcpy(d_b, b, SIZE * sizeof(int), cudaMemcpyHostToDevice);
	cudaMemcpy(d_c, c, SIZE * sizeof(int), cudaMemcpyHostToDevice);

	GPUVectorAdd<<<1, SIZE>>>(d_a, d_b, d_c, SIZE);
	GPUVectorAdd(a, b, c, SIZE);

	cudaMemcpy(c, d_c, SIZE * sizeof(int), cudaMemcpyDeviceToHost);

	for (int i = 0; i < 10; i++) {
		printf("c[%d] = %d\n", i, c[i]);
	}

	free(a);
	free(b);
	free(c);

	cudaFree(d_a);
	cudaFree(d_b);
	cudaFree(d_c);

	return (0);
}
2

You are calling a global function without specifying a block/grid configuration (that’s the information that goes between the angular brackets <<<>>> when you invoke a global functions from host code. If you could show your code, it would be easier to discuss since direct references to the relevant line in your code would be possible.

3

I edited the original post to include the code as well.

4

omg…nevermind I thought I changed the second call back to the host one…