Larger problem give more precise measurements on average.įeel free to use and share it if you find it useful. opencl-stream, OpenCL implementation of the STREAM. If you are planning to use a weaker GPU you might want to decrease it. The problem size that can be adjusted is the number of workgroups (I named it ‘Blocks’ as in CUDA). So far I’ve run it on AMD, Intel and NVIDIA platforms and several ATI/NVIDIA GPUs + Intel Sandy Bridge/Ivy Bridge CPUs. OpenCL is a C-based programming language that allows running programs on many GPUs which support it. Previous versions of Cycles, Blender’s physically-based path tracer, supported rendering via the OpenCL framework. The GPU driver crashes sometimes because of that, it would be good to avoid that.Īnd test it. For AMD GPUs, this will be Blender 3.0, expected in December 2021. Is there any way of getting information about that in advance - before actually running a kernel? mobile ones) I get an error indicating that it is out of the resources. The second one is related to OpenCL - Sometimes when I run the program on weaker GPUs (i.e. For each benchmark, this sub-module provides for the single core CPU reference implementation, the Vulkan Host Code and the Vulkan device code. It is a programming language that can be used across diverse platforms, primarily for accelerated computing. The benchmarks macro-module contains the Vulkan implementation of the 15 constituent benchmarks of the PolyBench suite and the functions for timing measurements. So here’s my first question - has anyone succeeded having OpenCL capable GeForce/TESLA and Radeon in Linux? I’ve noticed that the drivers do something with the kernel, hence the problem. OpenCL is an abbreviated form for 'Open Computing Language'. I programmed it under Windows as I couldn’t make NVIDIA and ATI GPUs work together in Linux. Son score (tests OpenCL) dévoile une puissance en hausse de 25 à 30 face à celle de son ainée, la GeForce RTX 3070 et 20 en dessous de celle de sa grande sur la GeForce RTX 4070 Ti.
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