Using Tensor Cores in CUDA Fortran – 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/ Greg Ruetsch <![CDATA[Using Tensor Cores in CUDA Fortran]]> http://www.open-lab.net/blog/?p=24627 2023-03-22T01:11:50Z 2021-04-15T21:00:20Z Tensor Cores, which are programmable matrix multiply and accumulate units, were first introduced in the V100 GPUs where they operated on half-precision (16-bit)...]]> Tensor Cores, which are programmable matrix multiply and accumulate units, were first introduced in the V100 GPUs where they operated on half-precision (16-bit)...

Tensor Cores, which are programmable matrix multiply and accumulate units, were first introduced in the V100 GPUs where they operated on half-precision (16-bit) multiplicands. Tensor Core functionality has been expanded in the following architectures, and in the Ampere A100 GPUs (compute capability 8.0) support for other data types was added, including double precision.

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