![]() Add the variable directly in your project CMakeLists.txt file: You can add the line "set( OPTIX_VERSION_LEGACY ON )" to your project CMakeLists.txt file.You can also pass this option to CMake if building from the command line. ![]() If you are using a GPU with compute capability CMake" Then type "-DOPTIX_VERSION_LEGACY=ON" into the CMake Options box. ![]() The newer version (6.5) is what is used by default. Helios comes packaged with two versions of OptiX: version 5.1 (which we term "legacy") and version 6.5. The NVIDIA OptiX library is used for ray-tracing calculations associated with the radiation model plug-in. The table below gives recommendations for Windows and Linux Systems based on your compute capability. The system requirements for any CUDA version can be found in the release notes, which is both packaged with the CUDA toolkit and can be found on the page where you download CUDA. The procedure for looking up your compiler version is different for different operating systems, and is described below. C++ compiler version: Only a certain range of compiler versions are supported for a given CUDA version.You need a compute capability of 3.5 or higher to build Helios. You can look up your GPU's compute capability here. Older GPUs will have a lower compute capability. GPU compute capability: The compute capability of your GPU is essentially an identifier corresponding to the architecture generation.There are three main considerations when choosing your CUDA version: Fortunately, this is easy and will also be described below. For CUDA 12. It may also be necessary to change your OptiX version if using an old GPU along with the radiation model. CUDA Toolkit Major Component Versions CUDA Components Starting with CUDA 11, the various components in the toolkit are versioned independently. This guide will help you to chose the right CUDA version for your system. If you choose the wrong version, the resulting error messages may not always be clear. Picking the right version of the NVIDIA CUDA driver can be the most difficult part of the CUDA install.
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