When writing CUDA applications, you can either work at the driver level or at the runtime level as illustrated on this image (The libraries are CUFFT and CUBLAS for advanced math): I assume the tradeoff between the two are increased performance for the low-evel API but at the cost of increased complexity of code. What are the concrete...
Is there an efficient way to take a subset of a C# array and pass it to another peice of code (without modifying the original array)? I use CUDA.net which has a function which copies an array to the GPU. I would like to e.g. pass the function a 10th of the array and thus copy each 10th of the array to the GPU seperately (for pipelining p...
I'm trying to set my simulation params in constant memory but without luck (CUDA.NET). cudaMemcpyToSymbol function returns cudaErrorInvalidSymbol. The first parameter in cudaMemcpyToSymbol is string... Is it symbol name? actualy I don't understand how it could be resolved. Any help appreciated. //init, load .cubin float[] arr = new f...
Hello. Trying to make an app that will compare 1-to-multiple bitmaps. there is one reference bitmap and multiple other bitmaps. Result from each compare should be new bitmap with diffs. Maybe comparing bitmaps rather as textures than arrays? My biggest problem is making kernel accept more than one input pointer, and how to compare the da...
I'm currently using CUDA.NET library by GASS. I need to initialize cuda arrays (actually cublas vectors, but it doesn't matters) in one CPU thread and use them in other CPU thread. But CUDA context which holding all initialized arrays and loaded functions, can be attached only to one CPU thread. There is mechanism called context migrati...