Hello, recently I made the DarkNet on OpenCL that is technology that really passionate me and I started recently PhD studies on AI field. I am using few different GPUs, recently 2 x AMD Radeon VII that works very well on my research. I have few issues... well minor issues but still.
First is that I can use only my trivial GEMM implementation for MultiGPU.
Do you know why clBLAS and CLBlast not support multi-threading environment?
Second I was wonder how fast comparing to Radeon VII is WX Pro series.
I was wonder can someone can test it on the AMD Pro GPUs that I do not have?
You may see my comparison at: DarkNet CUDA vs OpenCL and CPU vs NVIDIA vs AMD – coding by to design
There is one more update that may be nice to read here. I compared Nvidia Titan RTX ($3000) on GNU/Linux with AMD Radeon VII ($700) on macOS... gues what GPU won? Here is the description and results in a table: Is OpenCL beats CUDA? Thanks!
This may happen because I have a new domain on the Internet and old one only has permanent redirect enabled... new blog address is iblog.isowa.io sorry I do not know how to edit this entry... is there any moderator that can change the entry from codingbytofrdign.net => iblog.isowa.io Again sorry by that...
NEW LINKS MAY INTEREST YOU ALL
Hello... I am not sure if that DNN / AI / ML interested you, but here it is YOLO4 on OpenCL from Today... and CUDA version has 2 very heavy to find trick that does not work for training, I squash those in my port on OpenCL... Look for it at https://github.com/sowson/darknet Thanks! Edit: Screenshots added.