Kyle Berney

About
I am currently a lecturer in the Department of Information and Computer Sciences at the University of Hawaii at Manoa.
During my graduate studies, my research spanned the areas of high-performance computing, parallel algorithms, cache-efficient algorithms, and general-purpose computing on graphics processing units (GPGPU).
For more information, please see my academic C.V.
Contact
berneyk@hawaii.edu
Education
Ph.D. in Computer Science, University of Hawaii at Manoa, 2023
Dissertation: “Parallel Cache-Efficient Algorithms on GPUs”
Advisor: Nodari Sitchinava
M.S. in Computer Science, University of Hawaii at Manoa, 2018
Thesis: “Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts”
Advisor: Nodari Sitchinava
B.S. in Computer Science and Mathematics, University of Hawaii at Manoa, 2014
Teaching
Fall 2025
Summer 2025
Spring 2025
Research
K. Berney and N. Sitchinava. “Eliminating GPU Bank Conflicts in GPU Mergesort”. In Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), pages 158–170, 2025.
H. Casanova, K. Berney, S. Chastel, R. Ferreira da Silva. “WfCommons: Data Collection and Runtime Experiments using Multiple Workflow Systems”. In 47th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1870-1875, 2023.
K. Berney, J. Iacono, B. Karsin, N. Sitchinava. “A Parallel Priority Queue with Fast Updates for GPU Architectures”. In CoRR, abs/1908.09378, 2023.
K. Berney, H. Casanova, B. Karsin, N. Sitchinava. “Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts”. In IEEE Transactions on Computers, vol. 71, no. 5, pages 1104-1116, 2022.
K. Berney and N. Sitchinava. “Engineering Worst-Case Inputs for Pairwise Merge Sort on GPUs”. In Proceedings of the 34th International Parallel and Distributed Processing Symposium (IPDPS), pages 1133-1142, 2020.
K. Berney, H. Casanova, A. Higuchi, B. Karsin, N. Sitchinava. “Beyond Binary Search: Parallel In-Place Construction of Implicit Search Tree Layouts”. In Proceedings of the 32nd International Parallel and Distributed Processing Symposium (IPDPS), pages 1070-1079, 2018.