Dmitry Duplyakin
Cited by
Cited by
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
Active learning in performance analysis
D Duplyakin, J Brown, R Ricci
2016 IEEE International Conference on Cluster Computing (CLUSTER), 182-191, 2016
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
The Design and Operation of CloudLab
D Duplyakin, R Ricci, A Maricq, G Wong, J Duerig, E Eide, L Stoller, ..., 2019
Introducing Configuration Management Capabilities into CloudLab Experiments
D Duplyakin, R Ricci
IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016
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
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
The Part-Time Cloud: Enabling Balanced Elasticity Between Diverse Computing Environments
D Duplyakin, D Johnson, R Ricci, 2017
Performance and power dataset for active learning
D Duplyakin
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 …, 2020
On Studying CPU Performance of CloudLab Hardware
D Duplyakin, A Uta, A Maricq, R Ricci, 2019
Evaluating active learning with cost and memory awareness
D Duplyakin, J Brown, D Calhoun
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
Highly available cloud-based cluster management
D Duplyakin, M Haney, H Tufo
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
In Datacenter Performance, The Only Constant Is Change
D Duplyakin, A Uta, A Maricq, R Ricci
arXiv preprint arXiv:2003.04824, 2020
ScienceCloud'19 and CCIW'19 Chairs' Welcome
A Costan, B Nicolae, D Duplyakin, A Uta, A Gainaru, C Costa
10th Workshop on Scientific Cloud Computing, ScienceCloud 2019, co-located …, 2019
Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications. In: HPDC'17 Proceedings of the 26th International Symposium on High-Performance Parallel …
M Fernando, D Duplyakin, H Sundar
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF), 2017
Optimizing Computations and Allocations on High Performance and Cloud Computing Systems
D Duplyakin
Rapid performance modeling and parameter regression of geodynamic models
J Brown, D Duplyakin
AGU Fall Meeting Abstracts, 2016
Committee Name
B Xie, D Duplyakin, D Tiwari, D Cheng, E Rees, G Jia, I Jimenez, M Zhen, ...
Message from the Workshop Chair
A Sill, Y Chen, D Dai, D Duplyakin, T Cockerill
The system can't perform the operation now. Try again later.
Articles 1–20