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    <p>Your kernel is expecting dynamically allocated <a href="http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#shared" rel="nofollow noreferrer">shared memory</a>:</p> <pre><code> extern __shared__ int Shared_Hash[]; // blockSize + 1 elements </code></pre> <p>But you aren't allocating any in your kernel invocation:</p> <pre><code>sort_Particles_And_Find_Cell_StartD&lt;&lt;&lt;numBlocks, numThreads&gt;&gt;&gt;(Cell_Start,Cell_End, Sorted_Pos, Sorted_Vel, Particle_Cell, Particle_Index, Old_Pos, Old_Vel, Num_Particles); ^ | missing shared memory size parameter </code></pre> <p>You should provide a shared memory amount in your <a href="http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#execution-configuration" rel="nofollow noreferrer">launch configuration</a>. You probably want something like this:</p> <pre><code>sort_Particles_And_Find_Cell_StartD&lt;&lt;&lt;numBlocks, numThreads, ((numThreads+1)*sizeof(int))&gt;&gt;&gt;(Cell_Start,Cell_End, Sorted_Pos, Sorted_Vel, Particle_Cell, Particle_Index, Old_Pos, Old_Vel, Num_Particles); </code></pre> <p>This error will cause your kernel to abort when it tries to access shared memory. You should also do <a href="https://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api">cuda error checking</a> on all cuda API calls and kernel calls. I don't see any evidence of that in your code.</p> <p>Once you have all the API errors sorted out, run your code with <code>cuda-memcheck</code>. The reason for the unexpected writes to <code>Particle_Cell</code> may be due to out-of-bounds accesses from your kernel, which will become evident with <code>cuda-memcheck</code>.</p>
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    1. POcuda: involuntary memory changes during kernels
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    1. USRobert Crovella
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    1. COHey, thanks alot!!! you realy helped me and its amazing how quickly. you made my day :)
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