The Multi-GPU-SET Idea

Hello, I am a Ph.D. student in Poland at the Silesian University of Technology. And I wanted to start a general discussion on the classifier on the video stream improvement idea. I called it the “Multi-GPU & Multi-SET” or in short “Multi-GPU-SET” idea. Basically, people use Multi-GPU and the “Syncing” for Convolutional Neural Networks. But nobody in my opinion tried multi GPU to classification. Continue ReadingThe Multi-GPU-SET Idea

Ph.D. Hanna (Hackintosh) is Ready

Hi, Today I would like to show you my new Ph.D. research workstation… I know it is black and red… but I love ASUS ROG ;-). Do not worry, it will be only specification and pictures without too many words ;-). Simply I disassembly Hania PC (prototype) and improve some elements by 2 times. SPECIFICATION Case: ASUS ROG Strix Helios Motherboard: ASUS ROG Strix Continue ReadingPh.D. Hanna (Hackintosh) is Ready

PhD Progress from May 27th 2020 Update Keynote

Hi, This video was recording today and it shows in detail my Ph.D. first year of study effects. The first on the planet… Multi-GPU & Multi-SET image classification pattern… so, I wish you the happy watch! Thanks for watching! p ;).

PhD OpenCL Challenges

Hi, today I want to show you code samples for OpenCL that may be important when you start with these amazing graphics cards computing (GPU-computing) library. The goal is to make code as good as possible on any platform that supports OpenCL and on GPUs from AMD, Intel, NVidia, Mali on CPUs from AMD, Intel, ARM. All examples are from the Darknet on OpenCL Continue ReadingPhD OpenCL Challenges

Darknet in OpenCL on Beagleboard AI

Hi, today I have a very interesting single-board computer named Beagleboard AI.So far my favorite single-board computer was Darknet in OpenCL on Asus Tinker Board S. Let’s login via SSH on it on the flashed system on the SD card and configure it. I connected to it also hardware webcam Logitech C920… but just before I will show you the design and then command Continue ReadingDarknet in OpenCL on Beagleboard AI

iBlog Home Office Solution

Hi, today I would like to present to you my Home Office re-design and final solution. I did that because of previous design limitations. To make the content nicer for the readers I will not explain all details here only fully implemented ideas will be shown here. DIAGRAM SPECIFICATION 01. KVM: Speaka 2 x HDMI / USB 2.0 KVM Switch 02. USB HUB: Ednet Continue ReadingiBlog Home Office Solution

iBlog Home Office Design

Hi, today I would like to show you the project of my Home Office… All power up/down use cases need to be figured out as a mind puzzle… Enjoy! p 😉

Ph.D. Hania (Hackintosh) is Ready

Hi, I would like to show you my finished Hackintosh build photos with all peripherals devices from Apple and Speakers from the IK Multimedia named iLoud… I think it is awesome, so, take look on the less than $5000 build with the best OS on the planet… macOS Catalina :P… I love Apple :P. What do you think? SPECIFICATION (ALL FRIENDLY NAMES IN BRACKETS Continue ReadingPh.D. Hania (Hackintosh) is Ready

PhD Progress from March 8th 2020 Update Keynote

This is the status update of my private “after work” progress on Ph.D. studies at the Silesian University in Gliwice Poland. I think it may interest all AI/ML researchers around the world. Basically, I covered in 30 minutes Conventional Neural Network (CNN) engine usage to classified on the objects on video frames. I cover also my implementation of the Darknet on OpenCL that you Continue ReadingPhD Progress from March 8th 2020 Update Keynote

Is OpenCL beats CUDA?

Hi, there is no short answer to that question. I found that only and the best implementation of OpenCL is on macOS and I compared Nvidia Titan RTX 24GB GDDRX VRAM ($3000) on GNU/Linux, on CUDA, on OpenCL… and to beat it I chose AMD Radeon VII 16GB HBM2 VRAM ($700), but on GNU/Linux is slow, very slow. However, on the installed by me Continue ReadingIs OpenCL beats CUDA?