Dmitry Duplyakin

According to our database, Dmitry Duplyakin authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis.

Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup

CoRR, 2024

Quantifying Uncertainty in HPC Job Queue Time Predictions.

Kevin Menear, Connor Scully-Allison, Dmitry Duplyakin

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Tandem Predictions for HPC jobs.

Kevin Menear, Kadidia Konate, Kristi Potter, Dmitry Duplyakin

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

2023

Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach.

Kevin Menear, Ambarish Nag, Jordan Perr-Sauer, Monte Lunacek, Kristi Potter, Dmitry Duplyakin

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Is Knowledge about Running Applications Helping Improve Runtime Prediction of HPC Jobs?

Kevin Menear, Dmitry Duplyakin

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Avoiding the Ordering Trap in Systems Performance Measurement.

Dmitry Duplyakin, Nikhil Ramesh, Carina Imburgia, Hamza Fathallah Al Sheikh, Semil Jain, Prikshit Tekta, Aleksander Maricq, Gary Wong, Robert Ricci

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022

Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries.

Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John

Nat. Mach. Intell., 2022

graphenv: a Python library for reinforcement learning on graph search spaces.

David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John

J. Open Source Softw., 2022

Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows.

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

CoRR, 2022

2021

Cloud Performance Variability Prediction.

Yuxuan Zhao, Dmitry Duplyakin, Robert Ricci, Alexandru Uta

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

2020

3rd Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf'20): Performance Variability.

Alexandru Uta, Dmitry Duplyakin, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Is Big Data Performance Reproducible in Modern Cloud Networks?

Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan S. Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

In Datacenter Performance, The Only Constant Is Change.

Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

The Design and Operation of CloudLab.

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

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

On Studying CPU Performance of CloudLab Hardware.

Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci

Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Session details: Session 2: Scientific Computing Based on Cloud.

Dmitry Duplyakin

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

2018

Taming Performance Variability.

Aleksander Maricq, Dmitry Duplyakin, Ivo Jimenez, Carlos Maltzahn, Ryan Stutsman, Robert Ricci, Ana Klimovic

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Evaluating Active Learning with Cost and Memory Awareness.

Dmitry Duplyakin, Jed Brown, Donna Calhoun

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications.

Milinda Fernando, Dmitry Duplyakin, Hari Sundar

Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

2016

Introducing configuration management capabilities into CloudLab experiments.

Dmitry Duplyakin, Robert Ricci

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Active Learning in Performance Analysis.

Dmitry Duplyakin, Jed Brown, Robert Ricci

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015

Architecting a Persistent and Reliable Configuration Management System.

Dmitry Duplyakin, Matthew Haney, Henry M. Tufo

Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

Highly Available Cloud-Based Cluster Management.

Dmitry Duplyakin, Matthew Haney, Henry M. Tufo

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2013

Rebalancing in a multi-cloud environment.

Dmitry Duplyakin, Paul Marshall, Kate Keahey, Henry M. Tufo, Ali Alzabarah

Proceedings of the ScienceCloud'13, 2013