William Killian

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 6

Top Topics

Spectral Analysis

Software Platform

Machine Learning

Top Venues

ACM Comput. Surv.

Publications

Sameer Deshmukh, Daniel Khankin, William Killian, John Gustafson, Elad Raz
Evaluation of Posits for Spectral Analysis Using a Software-Defined Dataflow Architecture. CoRR (2024)
David Beckingsale, Thomas R. W. Scogland, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J. Kunen, Olga Pearce, Peter Robinson, Brian S. Ryujin
RAJA: Portable Performance for Large-Scale Scientific Applications. P3HPC@SC (2019)
Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano
A Survey on Compiler Autotuning using Machine Learning. ACM Comput. Surv. 51 (5) (2019)
Amir Hossein Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano
A Survey on Compiler Autotuning using Machine Learning. CoRR (2018)
William Killian, Tom Scogland, Adam Kunen, John Cavazos
The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer. WACCPD@SC (2017)
Robert Searles, Lifan Xu, William Killian, Tristan Vanderbruggen, Teague Forren, John Howe, Zachary Pearson, Corey Shannon, Joshua Simmons, John Cavazos
Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection. PDP (2017)
Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos
Accelerating financial applications on the GPU. GPGPU@ASPLOS (2013)