A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. - Trilce Estrada; Michael R. Wyatt II; Michela Taufer (ICPADS, 2015)

Development of a Scalable Method for Creating Food Groups Using the NHANES Dataset and MapReduce. - Michael R. Wyatt II; Travis Johnston; Mia Papas; Michela Taufer (BCB, 2016)

Data analytics for modeling soil moisture patterns across united states ecoclimatic domains. - Thomas Kitson; Paula Olaya; Elizabeth Racca; Michael R. Wyatt II; Mario Guevara; Rodrigo Vargas; Michela Taufer (IEEE BigData, 2017)

PRIONN: Predicting Runtime and IO using Neural Networks. - Michael R. Wyatt II; Stephen Herbein; Todd Gamblin; Adam Moody; Dong H. Ahn; Michela Taufer (ICPP, 2018)

Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. - Michela Taufer; Ewa Deelman; Stephen Thomas; Michael R. Wyatt II; Tu Mai Anh Do; Loïc Pottier; Rafael Ferreira da Silva; Harel Weinstein; Michel A. Cuendet; Trilce Estrada (eScience, 2019)

CanarIO: Sounding the Alarm on IO-Related Performance Degradation. - Michael R. Wyatt II; Stephen Herbein; Kathleen Shoga; Todd Gamblin; Michela Taufer (IPDPS, 2020)

Is Disaggregation possible for HPC Cognitive Simulation? - Michael R. Wyatt II; Valen Yamamoto; Zoë Tosi; Ian Karlin; Brian Van Essen (MLHPC@SC, 2021)

PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. - Ariel Keller Rorabaugh; Silvina Caíno-Lores; Michael R. Wyatt II; Travis Johnston; Michela Taufer (CoRR, 2021)

AI4IO: A suite of AI-based tools for IO-aware scheduling. - Michael R. Wyatt II; Stephen Herbein; Todd Gamblin; Michela Taufer (Int. J. High Perform. Comput. Appl., 2022)