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Michael Wilkins
Michael Wilkins
Ph.D. Student, Northwestern University
Dirección de correo verificada de u.northwestern.edu - Página principal
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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
72023
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
62021
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
42023
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
42022
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
22023
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
12023
Computer Science Department
M Wilkins
2024
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Artículos 1–7