Search Results - "Duplyakin, Dmitry"

Modeling Subsurface Performance of a Geothermal Reservoir Using Machine Learning by Duplyakin, Dmitry, Beckers, Koenraad F., Siler, Drew L., Martin, Michael J., Johnston, Henry E.

“…Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of…”
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Active Learning in Performance Analysis by Duplyakin, Dmitry, Brown, Jed, Ricci, Robert

“…Active Learning (AL) is a methodology from machine learning in which the learner interacts with the data source. In this paper, we investigate application of…”
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Introducing configuration management capabilities into CloudLab experiments by Duplyakin, Dmitry, Ricci, Robert

“…Users of CloudLab (and other GENI-derived testbeds) commonly use image snapshots to preserve their working environments and to share them with other users…”
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Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries by S. V., Shree Sowndarya, Law, Jeffrey N., Tripp, Charles E., Duplyakin, Dmitry, Skordilis, Erotokritos, Biagioni, David, Paton, Robert S., St. John, Peter C.

“…Advances in the field of goal-directed molecular optimization offer the promise of finding feasible candidates for even the most challenging molecular design…”
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On Studying CPU Performance of CloudLab Hardware by Duplyakin, Dmitry, Uta, Alexandru, Maricq, Aleksander, Ricci, Robert

“…Empirical performance measurements of computer systems almost always exhibit variability and anomalies. Run-to-run and server-to-server variations are common…”
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graphenv: a Python library for reinforcement learning on graph search spaces by Biagioni, David, Tripp, Charles Edison, Clark, Struan, Duplyakin, Dmitry, Law, Jeffrey, John, Peter C. St

“…Many important and challenging problems in combinatorial optimization (CO) can be expressed as graph search problems, in which graph vertices represent full or…”
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Validation of wind resource and energy production simulations for small wind turbines in the United States by Sheridan, Lindsay M, Phillips, Caleb, Orrell, Alice C, Berg, Larry K, Tinnesand, Heidi, Rai, Raj K, Zisman, Sagi, Duplyakin, Dmitry, Flaherty, Julia E

“…Due to financial and temporal limitations, the small wind community relies upon simplified wind speed models and energy production simulation tools to assess…”
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Evaluation of obstacle modelling approaches for resource assessment and small wind turbine siting: case study in the northern Netherlands by Phillips, Caleb, Sheridan, Lindsay M, Conry, Patrick, Fytanidis, Dimitrios K, Duplyakin, Dmitry, Zisman, Sagi, Duboc, Nicolas, Nelson, Matt, Rao Kotamarthi, Linn, Rod, Broersma, Marc, Spijkerboer, Timo, Tinnesand, Heidi

“…Growth in adoption of distributed wind turbines for energy generation is significantly impacted by challenges associated with siting and accurate estimation of…”
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Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis by Chu, Xiaoyu, Hofstätter, Daniel, Ilager, Shashikant, Talluri, Sacheendra, Kampert, Duncan, Podareanu, Damian, Duplyakin, Dmitry, Brandic, Ivona, Iosup, Alexandru

“…HPC datacenters offer a backbone to the modern digital society. Increasingly, they run Machine Learning (ML) jobs next to generic, compute-intensive workloads,…”
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In Datacenter Performance, The Only Constant Is Change by Duplyakin, Dmitry, Uta, Alexandru, Maricq, Aleksander, Ricci, Robert

“…All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. This phenomenon originates from many sources: some…”
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Evaluating Active Learning with Cost and Memory Awareness by Duplyakin, Dmitry, Brown, Jed, Calhoun, Donna

“…Active Learning (AL) is a methodology from Machine Learning and Design of Experiments (DOE) in which the quantities of interest are measured sequentially and…”
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In Datacenter Performance, The Only Constant Is Change by Duplyakin, Dmitry, Uta, Alexandru, Maricq, Aleksander, Ricci, Robert

“…All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. This phenomenon originates from many sources: some…”
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Message from the Workshop Chairs

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Is Big Data Performance Reproducible in Modern Cloud Networks? by Uta, Alexandru, Custura, Alexandru, Duplyakin, Dmitry, Jimenez, Ivo, Rellermeyer, Jan, Maltzahn, Carlos, Ricci, Robert, Iosup, Alexandru

“…Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our survey of top systems…”
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Highly Available Cloud-Based Cluster Management by Duplyakin, Dmitry, Haney, Matthew, Tufo, Henry

“…We present an architecture that increases persistence and reliability of automated infrastructure management in the context of hybrid, cluster-cloud…”
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Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows by da Silva, Rafael Ferreira, Chard, Kyle, Casanova, Henri, Laney, Dan, Ahn, Dong, Jha, Shantenu, Allcock, William E, Bauer, Gregory, Duplyakin, Dmitry, Enders, Bjoern, Heer, Todd M, Lancon, Eric, Sanielevici, Sergiu, Sayers, Kevin

“…The importance of workflows is highlighted by the fact that they have underpinned some of the most significant discoveries of the past decades. Many of these…”
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