After Effects Opencl Support

Searching for After Effects Opencl Support information? Find all needed info by using official links provided below.


OpenCL not Detected..! - Adobe Support Community

    https://community.adobe.com/t5/Photoshop/OpenCL-not-Detected/td-p/10146677
    Nov 11, 2018 · Photoshop CC 2018: OpenCL not enabled Photoshop Family Customer Community mentions the 520. Do you actually have 4 GB main memory? 8-16 GB is recommended. Also you may have to get a dedicated graphics card, an onboard one like the 520 might not support OpenCL.

Solved: "No openCL platforms available" when using video c ...

    https://community.adobe.com/t5/After-Effects/quot-No-openCL-platforms-available-quot-when-using-video/td-p/10243051
    Hi I just got a GTX 1060 6gb card and can't get after effects to work with it when using video copilots orb plug in. My drivers are update to latest version, my cpu does support SSE 4.2 and my system requirements are what they should be. Intel 5-7400 3GHz, 16gb …

OpenCL vs. CUDA in After Effects - DVXuser.com

    http://www.dvxuser.com/V6/showthread.php?314028-OpenCL-vs-CUDA-in-After-Effects
    Oct 02, 2013 · It appears that while AMD GPUs have gotten plenty of love with OpenCL within Premiere Pro CC, After Effects CC still only does full acceleration with specific CUDA GPUs. However, "full acceleration" seems to mean that it simply accelerates ray tracing.

GPU CUDA/OpenCL Acceleration Support in Adobe CS6/CC apps ...

    https://www.tonymacx86.com/threads/gpu-cuda-opencl-acceleration-support-in-adobe-cs6-cc-apps.186689/
    Dec 02, 2016 · For after effect you have to add your graphics card to the raytracer_supported_cards.txt in the Resources folder in the show packages of the After Effects app. For some reason they relocated it, because it use to be in the Content folder root, now its in Resources.

OpenCL vs. CUDA: Which Has Better Application Support ...

    https://create.pro/blog/opencl-vs-cuda/
    Nov 28, 2017 · The general consensus is that if your app of choice supports both CUDA and OpenCL, go with CUDA as it will generate better performance results. The main reason for this is that Nvidia provide top quality support to app developers who choose to use CUDA acceleration, therefore the integration is always fantastic.



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