This paper introduces Tiramisu, a polyhedral framework designed to generate high
performance code for multiple platforms including multicores, GPUs, and distributed …

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 …

Due to their intuitiveness, flexibility, and relative numerical efficiency, the macroscopic
Maxwell–Bloch (MB) equations are a widely used semiclassical and semi …

This paper presents the design and implementation of PolyMage, a domain-specific
language and compiler for image processing pipelines. An image processing pipeline can …

A stencil computation repeatedly updates each point of ad-dimensional grid as a function of
itself and its near neighbors. Parallel cache-efficient stencil algorithms based on" trapezoidal …

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

Parallel computing has become an important subject in the field of computer science and
has proven to be critical when researching high performance solutions. The evolution of …

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 …

Existing tensor compilers have proven their effectiveness in deploying deep neural networks
on general-purpose hardware like CPU and GPU, but optimizing for neural processing units …

Most stencil computations allow tile-wise concurrent start, ie, there always exists a face of
the iteration space and a set of tiling hyperplanes such that all tiles along that face can be …