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

Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

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

Stencil calculations comprise an important class of kernels in many scientific computing
applications ranging from simple PDE solvers to constituent kernels in multigrid methods as …

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 …

Optimizing programs to run efficiently on modern parallel hardware is hard but crucial for
many applications. The predominantly used imperative languages-like C or OpenCL-force …

This paper introduces three new compiler transformations for representing and transforming
sparse matrix computations and their data representations. In cooperation with run-time …

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

Today's highly heterogeneous computing landscape places a burden on programmers
wanting to achieve high performance on a reasonably broad cross-section of machines. To …

This paper presents a programming language interface, a complete scripting language, to
describe composable compiler transformations. These transformation programs can be …