Mixed-Precision Programming with CUDA 8 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Mark Harris <![CDATA[Mixed-Precision Programming with CUDA 8]]> http://www.open-lab.net/blog/parallelforall/?p=7311 2022-08-21T23:38:00Z 2016-10-19T21:30:47Z Update, March 25, 2019: The latest Volta and Turing GPUs now incoporate?Tensor Cores, which accelerate certain types of FP16 matrix math. This enables faster...]]> Update, March 25, 2019: The latest Volta and Turing GPUs now incoporate?Tensor Cores, which accelerate certain types of FP16 matrix math. This enables faster...CUDA AI Cube

Update, March 25, 2019: The latest Volta and Turing GPUs now incoporate Tensor Cores, which accelerate certain types of FP16 matrix math. This enables faster and easier mixed-precision computation within popular AI frameworks. Making use of Tensor Cores requires using CUDA 9 or later. NVIDIA has also added automatic mixed precision capabilities to TensorFlow, PyTorch, and MXNet.

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