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POcudaMemcpy not copying the host matrix to device (gives segmentation fault)
 

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    <p>Below is the code where i get Segmentation fault when i am trying to print the matrix d_A which is being copied from host matrix h_A.when i am trying to print matrix h_A just before cudamalloc it gets printed but after cudamemcpy trying to print d_A(Device matrix) gives me error.</p> <p>I am using the following:- nvcc -arch=sm_20 Trial.cu -o out to compile </p> <pre><code> #include &lt;stdio.h&gt; #include &lt;sstream&gt; #include &lt;stdlib.h&gt; #include &lt;time.h&gt; #include &lt;math.h&gt; #include &lt;unistd.h&gt; #include &lt;sys/time.h&gt; #include &lt;stdint.h&gt; #include &lt;cuda.h&gt; #include &lt;time.h&gt; inline void gpuAssert(cudaError_t code, char *file, int line, bool abort=true) { if (code != cudaSuccess) { fprintf(stderr,"GPUassert: %s %s %d\n", cudaGetErrorString(code), file, line); if (abort) exit(code); } } void LUdecomposition(float *h_A,float *A_,int dim,unsigned int size_A,int row_A) { float *d_A;int k; gpuErrchk(cudaMalloc(&amp;d_A, size_A*sizeof(float))); gpuErrchk(cudaMemcpy(d_A, h_A, size_A*sizeof(float), cudaMemcpyHostToDevice)); printf("\n D_A"); gpuErrchk(cudaMemcpy(A_,d_A,size_A*sizeof(float), cudaMemcpyDeviceToHost)); for(int i=0; i&lt;size_A; i++) { if (i % row_A == 0) printf("\n"); printf("%f ", A_[i]); } printf("\n D_A"); } void input_matrix_generation_A(float *Matrix, unsigned int row, unsigned int column, unsigned int size) { for (int i=0; i&lt;size; i++) { Matrix[i] = rand()%5+1; if (i % column == 0) printf("\n"); } } int main(int argc, char *argv[]) { int m=4;int dim=2; int size_A=m*m; float *A, *A_; A = (float*)malloc(sizeof(float)*size_A); input_matrix_generation_A(A,m,m,size_A); A_ = (float*)malloc(sizeof(float)*size_A); LUdecomposition(A,A_,dim,size_A,m); for(int i=0; i&lt;size_A; i++) { if (i % row_A == 0) printf("\n"); printf("%f ", A_[i]); } return 0; } </code></pre>
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    1. COIn addition to the answers already provided below. Do not forget to do the [cuda error checking](http://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api).
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