Michael Wilkins

According to our database, Michael Wilkins authored at least 10 papers between 1977 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Practical Machine Learning Autotuning for Large-Scale Collective Communication.

Michael Wilkins, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas

IEEE Trans. Parallel Distributed Syst., May, 2026

2025

Implementing True MPI Sessions and Evaluating MPI Initialization Scalability.

Hui Zhou, Kenneth Raffenetti, Yanfei Guo, Michael Wilkins, Rajeev Thakur

Proceedings of the Recent Advances in the Message Passing Interface, 2025

Parameterized Algorithms and Parameter Selection for Fast GPU-GPU Collective Communication.

Peizhi Liu, Sean Rhee, Michael Wilkins, Peter A. Dinda

Proceedings of the 33rd International Symposium on Modeling, 2025

2023

Evaluating Functional Memory-Managed Parallel Languages for HPC using the NAS Parallel Benchmarks.

Michael Wilkins, Garrett Weil, Luke Arnold, Nikos Hardavellas, Peter A. Dinda

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Generalized Collective Algorithms for the Exascale Era.

Michael Wilkins, Hanming Wang, Peizhi Liu, Bangyen Pham, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas

Proceedings of the IEEE International Conference on Cluster Computing, 2023

WARDen: Specializing Cache Coherence for High-Level Parallel Languages.

Michael Wilkins, Sam Westrick, Vijay Kandiah, Alex Bernat, Brian Suchy, Enrico Armenio Deiana, Simone Campanoni, Umut A. Acar, Peter A. Dinda, Nikos Hardavellas

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

Program State Element Characterization.

Enrico Armenio Deiana, Brian Suchy, Michael Wilkins, Brian Homerding, Tommy McMichen, Katarzyna Dunajewski, Peter A. Dinda, Nikos Hardavellas, Simone Campanoni

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

2022

ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning.

Michael Wilkins, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems.

Michael Wilkins, Yanfei Guo, Rajeev Thakur, Nikos Hardavellas, Peter A. Dinda, Min Si

Proceedings of the Workshop on Exascale MPI, 2021

1977

Microprocessor interrupt handling.

Michael Wilkins

Microprocess., 1977