Warden: Specializing cache coherence for high-level parallel languages M Wilkins, S Westrick, V Kandiah, A Bernat, B Suchy, EA Deiana, ... Proceedings of the 21st ACM/IEEE International Symposium on Code Generation …, 2023 | 7 | 2023 |
A FACT-based approach: Making machine learning collective autotuning feasible on exascale systems M Wilkins, Y Guo, R Thakur, N Hardavellas, P Dinda, M Si 2021 Workshop on Exascale MPI (ExaMPI), 36-45, 2021 | 6 | 2021 |
Program state element characterization EA Deiana, B Suchy, M Wilkins, B Homerding, T McMichen, K Dunajewski, ... Proceedings of the 21st ACM/IEEE International Symposium on Code Generation …, 2023 | 4 | 2023 |
ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning M Wilkins, Y Guo, R Thakur, P Dinda, N Hardavellas 2022 IEEE International Conference on Cluster Computing (CLUSTER), 161-171, 2022 | 4 | 2022 |
Generalized Collective Algorithms for the Exascale Era M Wilkins, H Wang, P Liu, B Pham, Y Guo, R Thakur, P Dinda, ... 2023 IEEE International Conference on Cluster Computing (CLUSTER), 60-71, 2023 | 2 | 2023 |
Evaluating Functional Memory-Managed Parallel Languages for HPC using the NAS Parallel Benchmarks M Wilkins, G Weil, L Arnold, N Hardavellas, P Dinda 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 1 | 2023 |
Computer Science Department M Wilkins | | 2024 |