AI/ML

AI/ML

GPU passthru in Proxmox for OpenCL, ufff

You can put your #GPU in #Proxmox server box and pass thru computational power to virtual machines… just in case you would like to run your AI/ML things alongside your virtualized NAS 😀 Finally I got it working. I think so. This Proxmox installation is simple one, just single node for experiments which is half part. The other part is VM configuration. You may ask, what exactly for do I need GPU in VM? I may need because the hardware is capable of running several additional GPUs and I can use all of them at once in different configurations and

AI/ML

Text processing in OpenCL

OpenCL is excellent in the field of numbers, but not that much into text processing. It lacks even basic functions available in regular C99. So the question is if it is worth trying to process some text in it. In my OpenCL base project (which can be found here) I’ve added “aiml” module. It loads over 31k lines of text with over 4 mln characters. The text itself is in the first buffer of uchar array. Second buffer holds pointers and lenghts of consecutive lines being work-items, so there are over 31k of such work-items. Third buffer is a result

AI/ML

DES cipher is 40 times faster in OpenCL

OpenCL implementation od DES cipher is way faster than regular single-threaded C program. 1 mln encryptions take less than a second on RTX 3050 Ti, but also as much as almost 40 seconds on Intel i5-10200h single-thread application. Lack of compact and extremely portable SSL/TLS library in pre C++11 project made me think about going for something easy to implement on my own concerning data encryption. I’ve selected DES, which stands for Data Encryption Standard because of my general understanding of such algorithm. It comes from 1975 and has certain limitations including short key length or known weak keys. But

AI/ML

Failed to load library libOpenCL.so.1

Today I came back to my OpenCL project (can be found here). I have had not tried it on my fresh Ubuntu 22 installation on my Dell g15 with RTX 3050 Ti. Altough I’ve got NVIDIA driver metapackage installed my program reported that there is some problem with shared library: You can check if the driver is selected in system About window. So there it is in my case, but nvidia-selector command reports that I have nvidia-driver-525 which is weird as drivers tab says I have installed driver 470. On the other hand, running nvidia-smi command says I have enable