The traditional metric for the efficiency of a numerical algorithm has been the number of
arithmetic operations it performs. Technological trends have long been reducing the time to …

Image processing pipelines combine the challenges of stencil computations and stream
programs. They are composed of large graphs of different stencil stages, as well as complex …

Structured Parallel Programming offers the simplest way for developers to learn patterns for
high-performance parallel programming. Written by parallel computing experts and industry …

We introduce Devito, a new domain-specific language for implementing high-performance
finite-difference partial differential equation solvers. The motivating application is exploration …

Stencil computations arise in many scientific computing domains, and often represent time-
critical portions of applications. There is significant interest in offloading these computations …

Abstract The Serre–Green–Naghdi (SGN) equations, also known as the fully-nonlinear
Boussinesq wave equations, accurately describe the behaviour of dispersive shoaling water …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Specialized image signal processors (ISPs) exploit the structure of image processing
pipelines to minimize memory bandwidth using the architectural pattern of line-buffering …

Autotuning refers to the automatic generation of a search space of possible implementations
of a computation that are evaluated through models and/or empirical measurement to …

Stencil computation is one of the most important kernels in many application domains such
as image processing, solving partial differential equations, and cellular automata. Many of …