W. Killian

Using Graph-Based Characterization for Predictive Modeling of Vectorizable Loop Nests

W. Killian, 2015 .

Partnership for Advanced Computing in Europe Performance Improvement in Kernels by Guiding Compiler Auto-Vectorization Heuristics

J. Cavazos, W. Killian, Renato Miceli, 2014 .

The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer

John Cavazos, Thomas Scogland, Adam Kunen, 2017, WACCPD@SC.

RAJA: Portable Performance for Large-Scale Scientific Applications

Olga Pearce, Rich Hornung, William Killian, 2019, 2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC).

A Survey on Compiler Autotuning using Machine Learning

Gianluca Palermo, Cristina Silvano, John Cavazos, 2018, ACM Comput. Surv..

Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection

John Cavazos, John Howe, Tristan Vanderbruggen, 2017, 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Accelerating financial applications on the GPU

John Cavazos, Scott Grauer-Gray, William Killian, 2013, GPGPU@ASPLOS.