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Nathan R. Tallent

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

13

Active years

2009–2026

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIOrder-Preserving Dimension Reduction for Multimodal Semantic Embedding.Chengyu Gong, Gefei Shen, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2026CCGRIDADVICE: Automatic Identification of Variables to Checkpoint Through Compiler Augmentation.Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato
2026ICSRudder: Steering Prefetching in Distributed GNN Training using LLM Agents.Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari
2025CLOUDPowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training.Talha Mehboob, Luanzheng Guo, Nathan R. Tallent, Michael Zink, David Irwin
2025ICDMProHD: Projection-Based Hausdorff Distance Approximation.Jiuzhou Fu, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2025ICSBMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao
2025PPoPPHigh-performance Visual Semantics Compression for AI-Driven Science.Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao
2025SCLLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models.Minqiu Sun, Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato, Dong Dai
2025SCQuantifying AWS S3 I/O Performance Boundaries Using the Roofline Model.Meng Tang, Zhaobin Zhu, Luanzheng Guo, James G. Bandy, Tim Carlson, Sarah Neuwirth, Anthony Kougkas, Xian-He Sun, Nathan R. Tallent
2025SSDBMFastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions.Jesun Sahariar Firoz, Hyungro Lee, Luanzheng Guo, Meng Tang, Nathan R. Tallent, Zhen Peng
2024CLUSTERMassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs.Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari
2024CLUSTERDaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics.Meng Tang, Jaime Cernuda, Jie Ye, Luanzheng Guo, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun
2024ISNCCPerformance Analysis of Data Processing in Distributed File Systems with Near Data Processing.Shiyue Hou, Nathan R. Tallent, Li Wang, Ningfang Mi
2024ISPASSAutomatic Extraction of Network Configurations for Realistic Simulation and Validation.Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024SCUnderstanding and Predicting Cross-Application I/O Interference in HPC Storage Systems.Chris Egersdoerfer, Md. Hasanur Rashid, Dong Dai, Bo Fang, Nathan R. Tallent
2024SCShifting Between Compute and Memory Bounds: A Compression-Enabled Roofline Model.Ramasoumya Naraparaju, Tianyu Zhao, Yanting Hu, Dongfang Zhao, Luanzheng Guo, Nathan R. Tallent
2023SCData Flow Lifecycles for Optimizing Workflow Coordination.Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun
2022CLUSTERMemGaze: Rapid and Effective Load-Level Memory Trace Analysis.Ozgur O. Kilic, Nathan R. Tallent, Yasodha Suriyakumar, Chenhao Xie, Andrs Mrquez, Stphane Eranian
2021SCSingle-node partitioned-memory for huge graph analytics: cost and performance trade-offs.Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2020ISPASSGeomancy: Automated Performance Enhancement through Data Layout Optimization.Oceane Bel, Kenneth Chang, Nathan R. Tallent, Dirk Dllmann, Ethan L. Miller, Faisal Nawab, Darrell D. E. Long
2020ISPASSRapid Memory Footprint Access Diagnostics.Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2019CLUSTERRapidly Measuring Loop Footprints.Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2018CLUSTEROptimizing Distributed Data-Intensive Workflows.Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
2018JSSPPStochastic Programming Approach for Resource Selection Under Demand Uncertainty.Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent
2017SCEvaluating On-Node GPU Interconnects for Deep Learning Workloads.Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
2017SCRepresentative paths analysis.Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2015PPoPPDiagnosing the causes and severity of one-sided message contention.Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie
2015SCTowards efficient scheduling of data intensive high energy physics workflows.Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
2015SCA case for application-oblivious energy-efficient MPI runtime.Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
2014ICSPalm: easing the burden of analytical performance modeling.Nathan R. Tallent, Adolfy Hoisie
2011ICSScalable fine-grained call path tracing.Nathan R. Tallent, John M. Mellor-Crummey, Michael Franco, Reed Landrum, Laksono Adhianto
2010PPoPPAnalyzing lock contention in multithreaded applications.Nathan R. Tallent, John M. Mellor-Crummey, Allan Porterfield
2010SCScalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles.Nathan R. Tallent, Laksono Adhianto, John M. Mellor-Crummey
2009PLDIBinary analysis for measurement and attribution of program performance.Nathan R. Tallent, John M. Mellor-Crummey, Michael W. Fagan
2009PPoPPEffective performance measurement and analysis of multithreaded applications.Nathan R. Tallent, John M. Mellor-Crummey
2009SCDiagnosing performance bottlenecks in emerging petascale applications.Nathan R. Tallent, John M. Mellor-Crummey, Laksono Adhianto, Michael W. Fagan, Mark Krentel