II-NEW: Research Software Infrastructure for Tensor Computations

Louisiana State University, Baton Rouge LA

Investigators

Abstract

The goal of this project is to build a new software infrastructure for continuing research on compiler optimizations for tensor computations. Motivated by the successes of the model-driven search-based optimization approach of the Tensor Contraction Engine (TCE) and the polyhedral model-based transformations, an optimization infrastructure is being developed that combines the key aspects of the TCE and the polyhedral models and provides the flexibility to continue research on optimizing and automatically parallelizing tensor computations for parallel and/or distributed computations for any machine architecture, including multi-cores and GPUs. This novel optimization framework has potential for high payoffs in enabling future research and eventually in generating high-performance code for an important class of quantum chemistry codes and other tensor computations. After further research, it will become a valuable tool for reducing the time to develop high-performance applications in several areas of science and engineering.