Convolution is the most time-consuming part in the computation of convolutional neural
networks (CNNs), which have achieved great successes in numerous practical applications …

The atmospheric general circulation model (AGCM) has been an important research tool in
the study of climate change for decades. As the demand for high-resolution simulation is …

As a basic matrix factorization operation, Singular Value Decomposition (SVD) is widely
used in diverse domains. In real-world applications, the computational bottleneck of matrix …

Stencil computation is an important kind of computational mode that widely used in numeric.
It iteratively updates the values of the spatial grid points over multiple time steps according to …

Abstract Atmospheric General Circulation Model (AGCM) is widely used for predicting
climate change and extreme weather. AGCM has been scaled up to thousands of cores on …

It is commonly recognized that the dynamical core of the atmospheric model based on
latitude-longitude mesh has poor parallel scalability, since it has to perform the costly polar …

Stencil computation is one of the most important kernels in various scientific computing.
Nowadays, most Stencil-driven scientific computing still relies heavily on supercomputers …

The finite-difference dynamical core based on the equal-interval latitude-longitude mesh has
been widely used for numerical simulations of the Atmospheric General Circulation Model …

In a computing platform composed of several homogeneous processors, any parallel
schedule of an algorithm usually involves three basic costs: arithmetic throughput on each …