| The Design and Operation of CloudLab D Duplyakin, R Ricci, A Maricq, G Wong, J Duerig, E Eide, L Stoller, ... https://www.flux.utah.edu/paper/duplyakin-atc19, 2019 | 429 | 2019 |
| Taming Performance Variability A Maricq, D Duplyakin, I Jimenez, C Maltzahn, R Stutsman, R Ricci, ... 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | 115 | 2018 |
| Is big data performance reproducible in modern cloud networks? A Uta, A Custura, D Duplyakin, I Jimenez, J Rellermeyer, C Maltzahn, ... 17th USENIX symposium on networked systems design and implementation (NSDI …, 2020 | 60 | 2020 |
| Active learning in performance analysis D Duplyakin, J Brown, R Ricci 2016 IEEE international conference on cluster computing (CLUSTER), 182-191, 2016 | 33 | 2016 |
| Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries SS SV, JN Law, CE Tripp, D Duplyakin, E Skordilis, D Biagioni, RS Paton, ... Nature Machine Intelligence 4 (8), 720-730, 2022 | 23 | 2022 |
| Machine and application aware partitioning for adaptive mesh refinement applications M Fernando, D Duplyakin, H Sundar Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017 | 20 | 2017 |
| Rebalancing in a multi-cloud environment D Duplyakin, P Marshall, K Keahey, H Tufo, A Alzabarah Proceedings of the 4th ACM workshop on Scientific cloud computing, 21-28, 2013 | 18 | 2013 |
| Introducing Configuration Management Capabilities into CloudLab Experiments D Duplyakin, R Ricci IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016 | 13 | 2016 |
| In datacenter performance, the only constant is change D Duplyakin, A Uta, A Maricq, R Ricci 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 9 | 2020 |
| Workflows community summit: Tightening the integration between computing facilities and scientific workflows RF da Silva, K Chard, H Casanova, D Laney, D Ahn, S Jha, WE Allcock, ... arXiv preprint arXiv:2201.07435, 2022 | 6 | 2022 |
| Architecting a persistent and reliable configuration management system D Duplyakin, M Haney, H Tufo Proceedings of the 6th Workshop on Scientific Cloud Computing, 11-16, 2015 | 6 | 2015 |
| Modeling Subsurface Performance of a Geothermal Reservoir Using Machine Learning D Duplyakin, KF Beckers, DL Siler, MJ Martin, HE Johnston Energies 15 (3), 967, 2022 | 5 | 2022 |
| Subsurface characterization and machine learning predictions at brady hot springs KF Beckers, D Duplyakin, MJ Martin, HE Johnston, DL Siler National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021 | 5 | 2021 |
| On Studying CPU Performance of CloudLab Hardware D Duplyakin, A Uta, A Maricq, R Ricci https://www.flux.utah.edu/download?uid=288, 2019 | 4 | 2019 |
| The Part-Time Cloud: Enabling Balanced Elasticity Between Diverse Computing Environments D Duplyakin, D Johnson, R Ricci http://www.flux.utah.edu/paper/duplyakin-sciencecloud2017, 2017 | 4 | 2017 |
| Cloud performance variability prediction Y Zhao, D Duplyakin, R Ricci, A Uta Companion of the ACM/SPEC International Conference on Performance …, 2021 | 3 | 2021 |
| Bias Characterization, Vertical Interpolation, and Horizontal Interpolation for Distributed Wind Siting Using Mesoscale Wind Resource Estimates D Duplyakin, S Zisman, C Phillips, H Tinnesand National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021 | 3 | 2021 |
| Using Machine Learning To Predict Future Temperature Outputs in Geothermal Systems D Duplyakin, DL Siler, H Johnston, K Beckers, M Martin National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020 | 3 | 2020 |
| graphenv: a Python library for reinforcement learning on graph search spaces D Biagioni, CE Tripp, S Clark, D Duplyakin, J Law, PCS John Journal of Open Source Software 7 (77), 4621, 2022 | 2 | 2022 |
| Validation of wind resource and energy production simulations for small wind turbines in the United States LM Sheridan, C Phillips, AC Orrell, LK Berg, H Tinnesand, RK Rai, ... Wind Energy Science 7 (2), 659-676, 2022 | 2 | 2022 |
Robert RicciResearch Associate Professor, School of Computing, University of UtahПодтвержден адрес электронной почты в домене cs.utah.edu
