Dmitry Duplyakin

Orcid: 0000-0001-5132-0168

According to our database1, Dmitry Duplyakin authored at least 21 papers between 2013 and 2023.

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Bibliography

2023
Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Is Knowledge about Running Applications Helping Improve Runtime Prediction of HPC Jobs?
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Avoiding the Ordering Trap in Systems Performance Measurement.
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.
Nat. Mach. Intell., 2022

graphenv: a Python library for reinforcement learning on graph search spaces.
J. Open Source Softw., 2022

Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows.
CoRR, 2022

2021
Cloud Performance Variability Prediction.
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.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

Is Big Data Performance Reproducible in Modern Cloud Networks?
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

In Datacenter Performance, The Only Constant Is Change.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

On Studying CPU Performance of CloudLab Hardware.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Session details: Session 2: Scientific Computing Based on Cloud.
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

2018
Taming Performance Variability.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Evaluating Active Learning with Cost and Memory Awareness.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017
Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

2016
Introducing configuration management capabilities into CloudLab experiments.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Active Learning in Performance Analysis.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
Architecting a Persistent and Reliable Configuration Management System.
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

Highly Available Cloud-Based Cluster Management.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2013
Rebalancing in a multi-cloud environment.
Proceedings of the ScienceCloud'13, 2013


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