I'm involved in a project where I have to do gpu programming, one of my constraint is to do it on a nvidia device (thus in CUDA). But I haven't access to a dev
Looking through the answers and comments on CUDA questions, and in the CUDA tag wiki, I see it is often suggested that the return status of every API call shoul
I am planning to start cuda programming in Qt framework. I would like to start with a simple example. system information : OS : ubuintu 18.04 LTS Qt version : 5
I'm trying to develop a small program with CUDA, but since it was SLOW I made some tests and googled a bit. I found out that while single variables are by defau
I'm trying to monitor a process that uses CUDA and MPI, is there any way I could do this, something like the command "top" but that monitors the GPU too?
Does anyone have any experience implementing a hash map on a CUDA Device? Specifically, I'm wondering how one might go about allocating memory on the Device an
If I understand the workflow description in the NVRTC documentation correctly, here's how it works: Create an NVRTC program from the source text. Compile the NV
Using CUDA 5 with VS 2012 and capability 3.5 (Titan and K20). At particular stages of my kernel execution, I want to send a generated data chunk to the host me
Using CUDA 5 with VS 2012 and capability 3.5 (Titan and K20). At particular stages of my kernel execution, I want to send a generated data chunk to the host me