Hi, the GPU world market battle of 2020 is a privilege to watch… you probably remember my last post about chess visualized NVIDIA domination. Well, not anymore. Many testers publicly say that Ampere 3090 GPU is very hot, with huge power consumption… Maybe that is why there are on the NVIDIA presentation was took from the oven? I presume if you got lucky and Continue ReadingAMD vs NVIDIA GPU-Battle 2020 Final
Hi, what can I say? Is it still possible that AMD wins the GPU market world domination game, but it will be almost impossible after the last NVidia move… what do you think? There is still an option to win A6-A7, but the situation is difficult for AMD Hetman because NVidia Hetman can B5-B6 :). I really enjoyed watching the last NVidia GPU lunch, Continue ReadingAMD vs NVIDIA GPU-Battle 2020
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
Hello, after about half-year I at last found the solution of the biggest optimization issue I had so far in the Darknet on OpenCL solution. It was really hard to solve and I even wrote at the AMD Community Post. Today very early morning I post on that post solution that is shown below. CPU CODE THAT INVOKES THE GPU CODE AND USES BOTH Continue ReadingGPU OpenCL Fine-Tuning Problem Solution
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
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
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?
Hi, today I have a C and OpenCL code fine-tuning problem to think about. This problem is quite complex to solve and truth be told I do not know how and why it does not work. The example is from real project at https://github.com/sowson/darknet. Let me first show you slow to compute version of example method in OpenCL. To give you all the aspects Continue ReadingGPU OpenCL Fine-Tuning Problem