Tuning compiler optimizations for rapidly evolving hardware makes porting and extending
an optimizing compiler for each new platform extremely challenging. Iterative optimization is …

This paper describes a general and robust loop transformation framework that enables
compilers to generate efficient code on complex loop nests. Despite two decades of prior …

Deep Neural Networks (DNNs) have revolutionized many aspects of our lives. The use of
DNNs is becoming ubiquitous, including in software for image recognition, speech …

Autotuning systems employ empirical techniques to evaluate the suitability of a search
space of possible implementations of a computation. Autotuning has emerged as a critical …

Autotuning technology has emerged recently as a systematic process for evaluating
alternative implementations of a computation to select the best-performing solution for a …

For many numerical codes the transport of data from main memory to the registers is
commonly considered to be the main limiting factor to achieve high performance on present …

Hydra accepts an equation written in terms of operations on matrices and automatically
produces highly efficient code to solve these equations. Processing of the equation starts by …

Very fast runtime is crucial in many applications in scientific computing, multimedia
processing, communication, and control. Most of these applications spend the bulk of the …

Minimization of data-processing time and reduction of software-development time are
important practical problems to be tackled by modern computer science. This paper presents …

Parallelization is one of the major challenges for programmers. But parallelizing existing
code is a hard task that can lead to less than optimal solutions since sequential programs …