Stencil computations are at the core of applications in many domains such as computational
electromagnetics, image processing, and partial differential equation solvers used in a …

The recent advent of compute-intensive GPU architecture has allowed application
developers to explore high-order 3D stencils for better computational accuracy. A common …

The freedom to reorder computations involving associative operators has been widely
recognized and exploited in designing parallel algorithms and to a more limited extent in …

Fast and accurate climate simulations and weather predictions are critical for understanding
and preparing for the impact of climate change. Real-world climate and weather simulations …

Oil and gas companies trust Reverse Time Migration (RTM), the most advanced seismic
imaging technique, with crucial decisions on drilling investments. The economic value of the …

Load balancing is a widely accepted technique for performance optimization of scientific
applications on parallel architectures. Indeed, balanced applications do not waste processor …

Stencil computations in real-world scientific applications may contain multiple interrelated
stencils, have multiple input grids, and use higher order discretizations with high arithmetic …

From partial differential equations to the convolutional neural networks in deep learning, to
matrix operations in dense linear algebra, computations on structured grids dominate high …

While implementation strategies for low-order stencils on GPUs have been well-studied in
the literature, not all of the techniques work well for high-order stencils, such as those used …

As the cost of data movement increasingly dominates performance, developers of finite-
volume and finite-difference solutions for partial differential equations (PDEs) are exploring …