GPU-Computing macOS Big Sur vs iBuntu Lux Sur

Hello, Let’s test this beauty from the last post on… LuxMark ;-). The thing is that I wanted to compare OpenCL. I know that OpenCL in both systems is not working fully right. I found on macOS that (multi-GPU case) clFinish(q) is slow down each time, on iBuntu -cl-fast-relaxed-math cause a black-scenes on Lux Ball… and on Darknet on OpenCL it is more things wrong, but maybe there are my bugs, so… Continue ReadingGPU-Computing macOS Big Sur vs iBuntu Lux Sur

Mac Moria Miner Project Failure

Hello, every failure is a lesson, so let me describe the experiment I did and the story behind it… I dream about the most robust possible GPU-computing macOS. Let’s start with hardware… design, the way it looks like, is not a design, so let’s name it the look and feel ;-). I am sorry to Apple, please forgive me this was only for test and future, again try, to Ph.D. studies. Do Continue ReadingMac Moria Miner Project Failure

MMM means Mac Moria Miner project

Hello, my dear readers. Today I would like to remind you of an excellent viewpoint of Steve Jobs, who I want to learn from, more from the story and public-faced information than from internal people skills… but anyway, here is the short interview I would like to influence you with first. The secret of life is that things around you are made by people no more intelligent than you, so if you Continue ReadingMMM means Mac Moria Miner project

GPU-Computing for Vision Recognition Platform as IoT

Hi my dear readers, today I would like to tell you three technical stories. It will be stories with a happy ending… and you know me..? I am not sure if that story happens precisely this way, but the story is true. IoT Idea Story ;-). First of all, you probably know my passion for IoT? And also, as a tool builder, sorry to say, I do not like to buy the Continue ReadingGPU-Computing for Vision Recognition Platform as IoT

DarkNet-vNext on CUDA

Hello, I know that many people like my DarkNet on OpenCL. Recently I also made an improved version of the original DarkNet on CUDA, and I called it DarkNet-vNext, and it has all improvements that probably you were looking for. All Yolo models are supported from the 1st to the 4th version. It supports OpenCV 4 and, for example, benchmark possibility. The good news is it is high-speed. As you probably may Continue ReadingDarkNet-vNext on CUDA

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, the “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. So what is it about? Well, it 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 Z390-E Gaming ATX Central Processor Unit: Intel Core Continue ReadingPh.D. Hanna (Hackintosh) is Ready

PhD Progress from May 27th 2020 Update Keynote

Hi, This video was recorded 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 port I did some time ago. The first 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 prompts to make it use Darknet on OpenCL 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 4 x USB 2.0 passive HUB 03. Web Continue ReadingiBlog Home Office Solution

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 WAS MY DAUGHTER IDEA) Case: NCase M1 V6.1 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 the Conventional Neural Network (CNN) engine used to classify the objects on video frames. I also cover my implementation of the Darknet on OpenCL that you can find at https://github.com/sowson/darknet including the goal, idea, Continue ReadingPhD Progress from March 8th 2020 Update Keynote