ContextWin32::ContextWin32(WindowHandle parent, NLOpenGLSettings settings) : IPlatformContext(parent, settings)
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I have installed Parallel Nsight for Visual Studio 2010. Due to my research, it is not able to debugging on machines which dont have NVIDIA graphic card.
after installing Compute Visual Profiler, I open it with this error: Unable to load the \'nvcuda\' library.
How could i transform this simple code to thrust code? for (i=0;i<cA-rA;i++) sn[i]=c[n_index[i]]-sn[i];
I do not understand why the below simple code is failing at c[0] = d void test(char **a){ char **c; cudaMemcpy(c,开发者_StackOverflow中文版a, sizeof(char*), cudaMemcpyDeviceToHost);
Below is a small program that i wrote to see how race conditions can happen in CUDA but i was surprised by the output.
I created a simple particle system. I have a device with compute capability 2.1. What could I change to optimize the kernel?
I asked this same question a few months ago, but I\'ve run into another roadblock and I\'m hoping someone will have a flash of insight.The is the previous thread: Detecting if the monitor is powered o
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