Long* r2 //= (long*) malloc(n * sizeof(long)) ĬudaMallocManaged(&r2, n * sizeof(long)) //line 159 here error! Int requiredNumBlocks = (numThreads / THREAD_LIMIT_PER_BLK) + 1 cudaMallocManaged(&unifiedNIL, n * sizeof(int)) int numThreads = (int)n Void parallelListRanks (long head, const long* next, long* rank, size_t n) Here is a short snippet of the driver function and the line that makes it error The application cannot be further debugged. your kernel using the appropriate macro: kernel KERNELARGS2(dim3(nBlockCount), dim3(nThreadCount)) (param1). Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".Įrror: Internal error reported by CUDA debugger API (error=CUDBG_ERROR_INTERNAL(0xa)). Something about a thread executing and it never coming back on that mallocManaged() call.ġ59 cudaMallocManaged(&r2, n * sizeof(long)) VSCode, I tried looking at various sites and writing task.json and launch.json but kept getting "stuck" at the first mallocManaged() call.CLion said it only supports up to cuda-gdb 10.8 and mine is 11 something.Visual Studio was missing syntax highlighting and I don't know what legacy nor next-gen cuda debuggers mentioned here:.What is the easiest way to get going and where can I find resources? These instructions are intended to be used on a clean installation of a supported platform.
#Visual studio cuda dim3 install#
This guide covers the basic instructions needed to install CUDA and verify that a CUDA application can run on each supported platform. if your post does not appear in the new queue, just send a message to the moderators. Minimal first-steps instructions to get CUDA running on a standard system.make your questions relevant to other readers.give your post a meaningful title, i.e., NOT "I have a C++ problem" but, e.g., "Problem with nested for loops".thoroughly research for an answer first.Tips for improving your chances of getting helpful answers:
#Visual studio cuda dim3 how to#
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