Michael R. Wyatt II

According to our database1, Michael R. Wyatt II authored at least 9 papers between 2015 and 2022.

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Bibliography

2022
AI4IO: A suite of AI-based tools for IO-aware scheduling.
Int. J. High Perform. Comput. Appl., 2022

2021
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search.
CoRR, 2021

Is Disaggregation possible for HPC Cognitive Simulation?
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

2020
CanarIO: Sounding the Alarm on IO-Related Performance Degradation.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers.
Proceedings of the 15th International Conference on eScience, 2019

2018
PRIONN: Predicting Runtime and IO using Neural Networks.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Data analytics for modeling soil moisture patterns across united states ecoclimatic domains.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Development of a Scalable Method for Creating Food Groups Using the NHANES Dataset and MapReduce.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015


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