Accelerating financial applications on the GPU. - Scott Grauer-Gray; William Killian; Robert Searles; John Cavazos (GPGPU@ASPLOS, 2013)

Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection. - Robert Searles; Lifan Xu; William Killian; Tristan Vanderbruggen; Teague Forren; John Howe; Zachary Pearson; Corey Shannon; Joshua Simmons; John Cavazos (PDP, 2017)

The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer. - William Killian; Tom Scogland; Adam Kunen; John Cavazos (WACCPD@SC, 2017)

RAJA: Portable Performance for Large-Scale Scientific Applications. - David Beckingsale; Thomas R. W. Scogland; Jason Burmark; Rich Hornung; Holger Jones; William Killian; Adam J. Kunen; Olga Pearce; Peter Robinson 009; Brian S. Ryujin (P3HPC@SC, 2019)

A Survey on Compiler Autotuning using Machine Learning. - Amir H. Ashouri; William Killian; John Cavazos; Gianluca Palermo; Cristina Silvano (ACM Comput. Surv., 2019)

Evaluation of Posits for Spectral Analysis Using a Software-Defined Dataflow Architecture. - Sameer Deshmukh; Daniel Khankin; William Killian; John Gustafson; Elad Raz (CSCML, 2024)

Anatomy of High-Performance Column-Pivoted QR Decomposition. - Maksim Melnichenko; Riley Murray; William Killian; James Demmel; Michael W. Mahoney; Piotr Luszczek; Mark Gates (CoRR, 2025)