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Author

Li-Long Zhou

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Book Open access Sep 2026

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...

Jie-Nan Yao, Li-Long Zhou, Heng-Guang Li et al. · 0 citations
Book Open access Sep 2026

Bit-Efficient Tensor Core Acceleration for High-Order Shallow-Water Dynamical Core

Modern accelerators offer substantial performance opportunities through high-throughput low-precision arithmetic. However, exploiting this capability in high-order PDE solvers is challenging: the numerical method imposes strict accuracy requirements and prescribes structured computation patterns. This work addresses th...

Jie-Nan Yao, Li-Long Zhou, Heng-Guang Li et al. · 0 citations

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