Re: [Cin] OpenCL benchmarking ....
В сообщении от Saturday 24 October 2020 03:51:42 Phyllis Smith via Cin написал(а): > Andrew, > > > Not VERY useful for CinelerraGG yet, still I found whole topic attractive > > enough :} > > > > http://www.bealto.com/gpu-benchmarks_mem.html > > > > > Interesting benchmarks. What I found a little puzzling was in the first > graph where the Read and Write throughput is the same as I always thought a > Read would be faster. > Yeah, on hdd/ usb flash/ssd and related memory devices it usually like this - read is fast, but writing is less fast .. But this specific benchmark sometimes works with smaller sizes, so they fit into cache and thus work much faster than usual.. I also was quite sure read and write speeds even on RAM should be a bit different, but I guess I need to read more on this ... In the meantime I found another becnhmark (apparently also requring OpenCL 1.1 + images), it doesn't work correctly for me on hacked nv92, but might be of some interest: https://github.com/CRVI/OpenCLIPP "OpenCLIPP - OpenCL Integrated Performance Primitives" - mostly from 2014 and last activity was in 2017 I found it via https://www.iwocl.org/resources/opencl-libraries-and-toolkits/ As far as I understand scanline-based image processing doesn't fit very well to opencCL, but may be some plugins will benefit from it? -- Cin mailing list Cin@lists.cinelerra-gg.org https://lists.cinelerra-gg.org/mailman/listinfo/cin
Re: [Cin] OpenCL benchmarking ....
Andrew, > Not VERY useful for CinelerraGG yet, still I found whole topic attractive > enough :} > > http://www.bealto.com/gpu-benchmarks_mem.html > > Interesting benchmarks. What I found a little puzzling was in the first graph where the Read and Write throughput is the same as I always thought a Read would be faster. -- Cin mailing list Cin@lists.cinelerra-gg.org https://lists.cinelerra-gg.org/mailman/listinfo/cin
[Cin] OpenCL benchmarking ....
Hi all, and happy editing Not VERY useful for CinelerraGG yet, still I found whole topic attractive enough :} http://www.bealto.com/gpu-benchmarks_mem.html I compiled benchmarks for my machine, with two simple fixes, and uploaded result to github: https://github.com/Randrianasulu/MPBenchmarks IMO my current devices quite fast: = Host to device copy 223 424 771118217702147 240323782506250114901828 756 743 777 771 776 708 683 0 Device to host copy 325 6131155197133204811 6282718880398316703954712817269531073256 322126342716 0 copyN 327 6511272218933004486 5419593261936266629963206330634563486349 63466335 0 0 For fastest NVA3 gpu (reclocked manually) GPU<->GPU copy still slow . https://gitlab.freedesktop.org/mesa/mesa/-/issues/3479 This is with very hacked mix of two experimental mesa branches ... Master (mesa3d) doesn't support compute on nv50-era cards. This bench requires images(2D) support, and works with OpenCL 1.1 driver -- Cin mailing list Cin@lists.cinelerra-gg.org https://lists.cinelerra-gg.org/mailman/listinfo/cin
