It is not sensible to ignore information that the CUDA runtime is providing you to help understand your code. You should always do proper CUDA error checking, any time you are having trouble with a CUDA code, preferably before asking others for help. How connect easytether in linux (ubuntu and flavors)In this video im using elementary osLink of easytether. The CUSOLVER, CUBLAS and other library calls also return error codes, and your code shows no indication of checking that either.ĭid I mention to do proper CUDA error checking? Not sure what proper CUDA error checking is? Google “proper CUDA error checking” and take the first hit, and start reading it, and apply it to your code. If you had used proper CUDA error checking, you would know this already. As a quick test, you can also run your code with cuda-memcheck (do that too.)Īs a result, you weren’t freeing anything, since you weren’t passing the correct pointer to cudaFree. The first problem is that you should always use proper CUDA error checking, any time you are having trouble with a CUDA code. This is because Ubuntu’s first-stage EFI boot loader is signed by Microsoft.
#How to run synplify pro 2017.9 in ubuntu install#
I would suggest the information you’ve provided so far is incomplete and confusing. Choose a Linux Distribution That Supports Secure Boot: Modern versions of Ubuntu starting with Ubuntu 12.04.2 LTS and 12.10 will boot and install normally on most PCs with Secure Boot enabled. But if that were the case, why would you need to do Q/R factorization on it repetetively in the loop? If you are not doing it in the loop, its unclear why you would need to call geqrf_bufferSize in the loop (what purpose would it serve to call it but not act on its returned information?) And if you are doing this before the loop, the only way that could be sensible is if your A matrix didn’t change during the loop processing. It’s impossible to say without seeing your code. If you are doing that repetetively in a loop, without a corresponding cudaFree function, then that would be a problem.
#How to run synplify pro 2017.9 in ubuntu pro#
MacBook Pro 2.66 GHz Intel Core 2 Duo - 8 GB Ram. The solution was to rename the extension as.
The allocated pointer from cudaMalloc is then passed to the actual geqrf function. The provider had not named the extension, so any unamed files convert to Unix Executable. The usual method to do that would be to call geqrf_bufferSize, and then take the returned value provided in Lwork, and use that as the size parameter in a call to cudaMalloc.
The input parameter Lwork is size of the working space, and it is returned by geqrf_bufferSize().” “The user has to provide working space which is pointed by input parameter Workspace. Geqrf_bufferSize, by itself, does not allocate (or free) anything.Īccording to the cusolver documentation for geqrf:
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