If you have a small example of your code feel free to post it.Īnother thing to say is that CUDA is often easier to use than OpenCL. The important thing to rembemer is that the GPU is only powerful if you use it correctly and only for a certain set of problems. Expected speed-up is also 100 to 500 compared to good Numpy code. But if your problem is too complex, you will have to write custom code and run it using PyOpenCL. You may have gotten so far without writing any OpenCL C code for the GPU but still have your code running on it. You can expect a speed-up of 100 to 500 compared to Numpy code, if your problem can be parallelized / vectorized. For simple cases you can just decorate your Numpy functions to run on the GPU. Once you have a well optimized Numpy example you can try to get a first peek on the GPU speed-up by using Numba. The GPU performs better at small tasks that can be parallelized. This is also an important step to find out how your GPU code could be implemented as the calculations in vectorized Numpy will have a similar scheme. If your code is pure Python (list, float, for-loops etc.) you can see a a huge speed-up (maybe up to 100 x) by using vectorized Numpy code. If you follow the list below you can get a good idea on what to expect. Depending on how complex they are and how good your implementations on the CPU and GPU are. Calculations on the GPU are not always faster. I hope you will understand.įrom my experience, you're looking at a 10-15 FPS improvement.There are at least two options to speed up calculations using the GPU:īut I usually don't recommend to run code on the GPU from the start. System: and r5 2600, Asus crosshair vi hero, 16gb ram, 250 ssd, 5 hdds, primary gpu gtx1060 3gb, second gts 450 1gb, psu 700W 80+. So my question is: what do I need to do? Do I have to do some configuration? After that my pc with 2 different gpus it bootloops on Windows logo. And then it stuck for half hour so I reboot by force. I reinstall the drivers for my primary gpu. That what I notice is the my primary gpu lost it driver after I installed the new driver for my second gpu. And when it was finishes with the installation Nvidia application in for me that there is a new driver update. So what happen, on 1st boot everything was fine, it recognises that there is a second gpu, without knowing exactly the model so it install a default driver of Microsoft. I tried to install 2 different gpu in my pc. I would like to ask something, while I was reading this topic. You can confirm all this via Task Manager Performance and the NVCP GPU systray icon Works regardless of fullscreen, or windowed.įrom my experience, you're looking at a 10-15 FPS improvement. Make sure to restart said game after you set it to the correct monitor. To get your games to utilize your 1070 just load it up, set it to Monitor 2 that your 1070 is plugged into and it'll drive off your 1070 while the remainder of your desktop programs will use your 750. Chrome, Twitch, Batlenet, to use your 750. This will cause all GPU-accelerated programs, i.e. So with a 1070/750 combo, you want to set the monitor your 750 is plugged into as your primary. Make the monitor your 2nd GPU is plugged into your primary display in the Nvidia control panel. Ok, so how do you get that 2nd GPU to actually do some work? Good question: All the work is still going to your 1070. What this means is your 750 is sitting there not being utilized. Chrome is going to push all GPU accelerated content to the primary display's GPU regardless of which monitor a window is on. Say you have Monitor 2 with a 750 and Monitor 1 with a 1070. Windows, specifically Windows applications generally do not care how many different GPUs you have. Sorry for rezing a dead thread, but there's a big caveat that wasn't mentioned and is very relevant if you're running 2 different GPUs.
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