Bit-Efficient Tensor Core Acceleration for High-Order Shallow-Water Dynamical Core
This work addresses the difficulty in HOPE, a PyTorch-based high-order finite-volume dynamical core, to enable efficient mixed-precision execution on Tensor Cores and proposes a modification of the Ozaki II scheme to improve input mantissa bit utilization in compute-intensive kernels, such as convolution-reformulated s...