Michael Wilkins

Publication Activity (10 Years)

Years Active: 1977-2023
Publications (10 Years): 7

Top Topics

Machine Learning

Top Venues

IPDPS Workshops

Publications

Michael Wilkins, Hanming Wang, Peizhi Liu, Bangyen Pham, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas
Generalized Collective Algorithms for the Exascale Era. CLUSTER (2023)
Michael Wilkins, Garrett Weil, Luke Arnold, Nikos Hardavellas, Peter A. Dinda
Evaluating Functional Memory-Managed Parallel Languages for HPC using the NAS Parallel Benchmarks. IPDPS Workshops (2023)
Michael Wilkins, Sam Westrick, Vijay Kandiah, Alex Bernat, Brian Suchy, Enrico Armenio Deiana, Simone Campanoni, Umut A. Acar, Peter A. Dinda, Nikos Hardavellas
WARDen: Specializing Cache Coherence for High-Level Parallel Languages. CGO (2023)
Enrico Armenio Deiana, Brian Suchy, Michael Wilkins, Brian Homerding, Tommy McMichen, Katarzyna Dunajewski, Peter A. Dinda, Nikos Hardavellas, Simone Campanoni
Program State Element Characterization. CGO (2023)
Michael Wilkins, Yanfei Guo, Rajeev Thakur, Peter A. Dinda, Nikos Hardavellas
ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning. CLUSTER (2022)
Michael Wilkins, Yanfei Guo, Rajeev Thakur, Nikos Hardavellas, Peter A. Dinda, Min Si
A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems. ExaMPI@SC (2021)
James Dieffenderfer, Michael Wilkins, Charles Hood, Eric Beppler, Michael A. Daniele, Alper Bozkurt
Towards a sweat-based wireless and wearable electrochemical sensor. IEEE SENSORS (2016)
Michael Wilkins
Microprocessor interrupt handling. Microprocess. 1 (5) (1977)