nvidia

I've successfully installed tensorflow (GPU) on Linux Ubuntu 16.04 and made some small changes in order to make it work with the new Ubuntu LTS release. However, I thought (who knows why) that my GPU met the minimum requirement of a compute capability greater than 3.5. That was not the case since my GeForce 820M has just 2.1. Is there a way of making tensorflow GPU version working with my GPU? I am asking this question since apparently there was no way of making tensorflow GPU version working on Ubuntu 16.04 but by searching the internet I found out that was not the case and indeed I made it

I know that nvidia-smi -l 1 will give the GPU usage every one second (similarly to the following). However, I would appreciate an explanation on what Volatile GPU-Util really means. Is that the number of used SMs over total SMs, or the occupancy, or something else? +-----------------------------------------------------------------------------+ | NVIDIA-SMI 367.48 Driver Version: 367.48 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M

I just managed to install my cuda SDK under Linux Ubuntu 10.04. My graphic card is an NVIDIA geForce GT 425M, and I'd like to use it for some heavy computational problem. What I wonder is: is there any way to use some unsigned 128 bit int var? When using gcc to run my program on the CPU, I was using the __uint128_t type, but using it with cuda doesn't seem to work. Is there anything I can do to have 128 bit integers on cuda? Thank you very much Matteo Monti Msoft Programming For best performance, one would want to map the 128-bit type on top of a suitable CUDA vector type, such as uint4, and

I have a list of words, my goal is to match each word in a very very long phrase. I'm having no problem in matching each word, my only problem is to return a vector of structures containing informations about each match. In code: typedef struct { int A, B, C; } Match; __global__ void Find(veryLongPhrase * _phrase, Words * _word_list, vector<Match> * _matches) { int a, b, c; [...] //Parallel search for each word in the phrase if(match) //When an occurrence is found { _matches.push_back(new Match{ A = a, B = b, C = c }); //Here comes the unknown, what should I do here??? } } main() { [...]