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[SYCL][CUDA][DOC] GettingStartedGuide.md to recommend cuda 11.6 #5917
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@@ -177,9 +177,13 @@ the system, refer to | |
| [NVIDIA CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) | ||
| or | ||
| [NVIDIA CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) | ||
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| **_NOTE:_** An installation of at least [CUDA 11.6](https://developer.nvidia.com/cuda-downloads) is recommended because there is a known issue with some math builtins when using -O1/O2/O3 Optimization options for CUDA toolkits prior to 11.6 (This is due to a bug in earlier versions of the CUDA toolkit: see [this issue](https://forums.developer.nvidia.com/t/libdevice-functions-causing-ptxas-segfault/193352). | ||
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| An installation of at least | ||
| [CUDA 11.0](https://developer.nvidia.com/cuda-11.0-download-archive) | ||
| is required for fully utilize Turing (SM 75) devices. | ||
| is required to fully utilize Turing (SM 75) devices and to enable Ampere (SM 80) | ||
| core features. | ||
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| Currently, the only combination tested is Ubuntu 18.04 with CUDA 10.2 using | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This looks a bit outdated. Let's remove first sentence?
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. OK. I could just remove the sentence. I know that DPC++ has been tested with SM61, SM70, SM71, SM80 using toolkit 11.0, 11.2, 11.3, 11.4, 11.6.
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. There is another follow-up note.
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. We think that the CUDA Windows support should be considered broadly speaking on the same level as the Linux support now that there is the Windows CI and tests are passing: I've gone ahead and removed the reference to experimental Windows support. |
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| a Titan RTX GPU (SM 71). The CUDA backend should work on Windows or Linux | ||
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