![]() ![]() Windows users: if you use MCXStudio, please follow this video tutorial (Lesson 6) to apply a registry fix to enable MCX to run more than 5 seconds on your computer. Therefore, you do not need to install CUDA library in order to run MCX/MCXLAB. Starting from v0.9, MCX/MCXLAB released packages are compiled with CUDA library statically linked (embedded). ![]() In order to run MCX (CUDA-edition), you have to make sure you have the right hardware and software support, this includes: ![]() Currently, we have two MCX editions, the CUDA-edition is supported only on the NVIDIA graphics card, and an OpenCL-edition, supported for all OpenCL-compliant computing devices (Intel/AMD CPUs, NVIDIA GPU and AMD GPUs, etc). In order to run MCX for CUDA, you have to make sure you have the right hardware and software support, this includes: Currently, we have two MCX editions, the CUDA-edition supported only on the NVIDIA graphics card, and an OpenCL-edition, supported for all opencl-compliant compute devices (Intel/AMD CPUs, NVIDIA GPU and AMD GPUs, etc). Difference (from revision 3 to revision 4) ![]()
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