Deep learning models with convolutional and recurrent networks are now ubiquitous and
analyze massive amounts of audio, image, video, text and graph data, with applications in …

The polyhedral model for loop parallelization has proved to be an effective tool for advanced
optimization and automatic parallelization of programs in higher-level languages. Yet, to …

In the near future, cameras will be used everywhere as flexible sensors for numerous
applications. For mobility and privacy reasons, the required image processing should be …

This article addresses the compilation of a sequential program for parallel execution on a
modern GPU. To this end, we present a novel source-to-source compiler called PPCG …

Programming accelerators such as GPUs with low-level APIs and languages such as
OpenCL and CUDA is difficult, error-prone, and not performance-portable. Automatic …

Time-tiling is necessary for the efficient execution of iterative stencil computations. Classical
hyper-rectangular tiles cannot be used due to the combination of backward and forward …

Stencil computation is one of the most widely-used compute patterns in high performance
computing applications. Spatial and temporal blocking have been proposed to overcome the …

Abstract mathematical representations such as integer polyhedra have been shown to be
useful to precisely analyze computational kernels and to express complex loop …

Tiling is a key technique to enhance data reuse. For computations structured as one
sequential outer" time" loop enclosing a set of parallel inner loops, tiling only the parallel …

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