Microprocessor interrupt handling. - Michael Wilkins (Microprocess., 1977)

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 (ExaMPI@SC, 2021)

ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning. - Michael Wilkins; Yanfei Guo; Rajeev Thakur; Peter A. Dinda; Nikos Hardavellas (CLUSTER, 2022)

Program State Element Characterization. - Enrico Armenio Deiana; Brian Suchy; Michael Wilkins; Brian Homerding; Tommy McMichen; Katarzyna Dunajewski; Peter A. Dinda; Nikos Hardavellas; Simone Campanoni (CGO, 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 (CGO, 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 (CLUSTER, 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 (IPDPS Workshops, 2023)