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ORCIDDmitry Duplyakin
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2020 – today
- 2024
[c21]Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup:
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. ICPADS 2024: 710-719- [c20]Kevin Menear
, Kadidia Konate, Kristi Potter, Dmitry Duplyakin:
Tandem Predictions for HPC jobs. PEARC 2024: 23:1-23:9 - [c19]Kevin Menear, Connor Scully-Allison, Dmitry Duplyakin:
Quantifying Uncertainty in HPC Job Queue Time Predictions. PEARC 2024: 100:1-100:3 - [i4]Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup:
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. CoRR abs/2409.08949 (2024) - 2023
- [c18]Dmitry Duplyakin, Nikhil Ramesh, Carina Imburgia, Hamza Fathallah Al Sheikh, Semil Jain, Prikshit Tekta, Aleksander Maricq, Gary Wong, Robert Ricci:
Avoiding the Ordering Trap in Systems Performance Measurement. USENIX ATC 2023: 373-386 - [c17]Kevin Menear, Ambarish Nag, Jordan Perr-Sauer, Monte Lunacek, Kristi Potter, Dmitry Duplyakin:
Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach. PEARC 2023: 75-85 - [c16]Kevin Menear, Dmitry Duplyakin:
Is Knowledge about Running Applications Helping Improve Runtime Prediction of HPC Jobs? PEARC 2023: 463-465 - 2022
- [j2]David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John:
graphenv: a Python library for reinforcement learning on graph search spaces. J. Open Source Softw. 7(78): 4621 (2022) - [j1]Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John:
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. Nat. Mach. Intell. 4(8): 720-730 (2022) - [i3]Rafael Ferreira da Silva, Kyle Chard, Henri Casanova, Dan Laney, Dong H. Ahn, Shantenu Jha, William E. Allcock, Gregory Bauer, Dmitry Duplyakin, Bjoern Enders, Todd M. Heer, Eric Lancon, Sergiu Sanielevici, Kevin Sayers:
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. CoRR abs/2201.07435 (2022) - 2021
- [c15]Yuxuan Zhao, Dmitry Duplyakin, Robert Ricci, Alexandru Uta:
Cloud Performance Variability Prediction. ICPE (Companion) 2021: 35-40 - 2020
- [c14]Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci:
In Datacenter Performance, The Only Constant Is Change. CCGRID 2020: 370-379 - [c13]Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan S. Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup:
Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020: 513-527 - [c12]Alexandru Uta, Dmitry Duplyakin, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup:
3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability. ICPE 2020: 301-302 - [i2]Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci:
In Datacenter Performance, The Only Constant Is Change. CoRR abs/2003.04824 (2020)
2010 – 2019
- 2019
- [c11]Dmitry Duplyakin:
Session details: Session 2: Scientific Computing Based on Cloud. ScienceCloud@HPDC 2019 - [c10]Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci:
On Studying CPU Performance of CloudLab Hardware. ICNP 2019: 1-2 - [c9]Dmitry Duplyakin, Robert Ricci, Aleksander Maricq, Gary Wong, Jonathon Duerig, Eric Eide, Leigh Stoller, Mike Hibler, David Johnson, Kirk Webb, Aditya Akella, Kuang-Ching Wang, Glenn Ricart, Larry Landweber, Chip Elliott, Michael Zink, Emmanuel Cecchet, Snigdhaswin Kar, Prabodh Mishra:
The Design and Operation of CloudLab. USENIX ATC 2019: 1-14 - [e2]Bogdan Nicolae, Alexandru Costan, Dmitry Duplyakin, Ana Gainaru, Alexandru Uta, Carlos Costa:
Proceedings of the 10th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2019, Phoenix, AZ, USA, June 25, 2019. ACM 2019, ISBN 978-1-4503-6758-5 [contents] - [i1]Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan S. Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup:
Is Big Data Performance Reproducible in Modern Cloud Networks? CoRR abs/1912.09256 (2019) - 2018
- [c8]Dmitry Duplyakin, Jed Brown, Donna Calhoun:
Evaluating Active Learning with Cost and Memory Awareness. IPDPS 2018: 214-223 - [c7]Aleksander Maricq, Dmitry Duplyakin, Ivo Jimenez, Carlos Maltzahn, Ryan Stutsman, Robert Ricci, Ana Klimovic:
Taming Performance Variability. OSDI 2018: 409-425 - [e1]Alexandru Costan, Bogdan Nicolae, Dmitry Duplyakin, Gerald F. Lofstead II, Jai Dayal:
Proceedings of the 9th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2018, Tempe, AZ, USA, June 11, 2018. ACM 2018, ISBN 978-1-4503-5863-7 [contents] - 2017
- [c6]Milinda Fernando, Dmitry Duplyakin, Hari Sundar:
Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications. HPDC 2017: 231-242 - 2016
- [c5]Dmitry Duplyakin, Jed Brown, Robert Ricci:
Active Learning in Performance Analysis. CLUSTER 2016: 182-191 - [c4]Dmitry Duplyakin, Robert Ricci:
Introducing configuration management capabilities into CloudLab experiments. INFOCOM Workshops 2016: 39-44 - 2015
- [c3]Dmitry Duplyakin, Matthew Haney, Henry M. Tufo:
Highly Available Cloud-Based Cluster Management. CCGRID 2015: 1201-1204 - [c2]Dmitry Duplyakin, Matthew Haney, Henry M. Tufo:
Architecting a Persistent and Reliable Configuration Management System. ScienceCloud@HPDC 2015: 11-16 - 2013
- [c1]Dmitry Duplyakin, Paul Marshall, Kate Keahey, Henry M. Tufo, Ali Alzabarah:
Rebalancing in a multi-cloud environment. ScienceCloud@HPDC 2013: 21-28
Coauthor Index
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