Computer Hardware, TensorFlow, Nvidia, Linear Algebra, Gpu.
Cores can compute and accumulate products in higher precision than the inputs. For example, during training with FP16 inputs, Tensor Cores can compute products without loss of precision and accumulate in FP32. When math operations cannot be formulated in terms of matrix blocks — for example,