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Viewing Publication 1 - 100 from 680

2026

Flight: A FaaS-based framework for complex and Hierarchical Federated LearningNathaniel Hudson, Valérie Hayot-Sasson, Yadu Nand Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard. fgcs, 174:107998, 2026. [doi]

2025

The computing continuum: Past, present, and futureLuiz F. Bittencourt, Roberto Rodrigues Filho, Josef Spillner, Filip De Turck, José Santos, Nelson L. S. Da Fonseca, Omer F. Rana, Manish Parashar, Ian T. Foster. csr, 58:100782, 2025. [doi]

Efficient distributed continual learning for steering experiments in real-timeThomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu. fgcs, 162:107438, 2025. [doi]

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed StorageMaxime Gonthier, Dante D. Sánchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen 0005, Valérie Hayot-Sasson, J. Gregory Pauloski, Jesús Carretero 0001, Kyle Chard, Ian T. Foster. ics 2025: 853-867 [doi]

ControlA: Agentic Workflow Control Mechanisms for Reliable ScienceAmal Gueroudji, Tanwi Mallick, Renan Souza 0001, Rafael Ferreira da Silva, Robert B. Ross, Matthieu Dorier, Philip Carns, Kyle Chard, Ian T. Foster. eScience 2025: 415-426 [doi]

Ocelot: An Interactive, Efficient Distributed Compression-As-a-Service Platform With Optimized Data Compression TechniquesYuanjian Liu, Sheng Di, Jiajun Huang 0001, Zhaorui Zhang, Kyle Chard, Ian T. Foster. tpds, 36(12):2497-2511, December 2025. [doi]

Slice-Aware Attention for Quality Control of Breast MRI SegmentationsEdwin Ma, Rachel Gordon, Anna Woodard, Ian T. Foster, Kyle Chard. eScience 2025: 345-346 [doi]

SMURF: Federated Multimodal Retrieval for Scientific Data via Embedding AlignmentSong Young Oh, Arham Khan, Ian T. Foster, Kyle Chard. eScience 2025: 452-459 [doi]

Agentic Discovery: Closing the Loop With Cooperative AgentsJ. Gregory Pauloski, Kyle Chard, Ian T. Foster. Computer, 58(10):20-27, October 2025. [doi]

Object Proxy Patterns for Accelerating Distributed ApplicationsJ. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer 0001, Kyle Chard, Ian T. Foster. tpds, 36(2):253-265, February 2025. [doi]

Mitigating Memorization in Language ModelsMansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney. iclr 2025: [doi]

Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue PrioritizationMarcus Schwarting, Logan T. Ward, Nathaniel Hudson, Xiaoli Yan, Ben Blaiszik, Santanu Chaudhuri, Eliu A. Huerta, Ian T. Foster. eScience 2025: 30-38 [doi]

Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph PartitioningAshka Shah, Adela Frances DePavia, Nathaniel C. Hudson, Ian T. Foster, Rick Stevens. tmlr, 2025, 2025. [doi]

Will It Blend? Mixing Numerical and Machine-Learned Physics Quantities for Accurate on-the-Fly Surrogate ModelingMichael Tynes, Kyle Chard, Ian T. Foster, Logan T. Ward. iccs 2025: 270-284 [doi]

Optimizing Fine-Grained Parallelism Through Dynamic Load Balancing on Multi-Socket Many-Core SystemsWenyi Wang, Maxime Gonthier, Poornima Nookala, Haochen Pan, Ian T. Foster, Ioan Raicu, Kyle Chard. ipps 2025: 81-93 [doi]

Employing artificial intelligence to steer exascale workflows with colmenaLogan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster. ijhpca, 39(1):52-64, 2025. [doi]

Diamond: Harnessing GPU Resources for Scientific Deep LearningHaotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu Babuji, Owen Price, Yinzhi Wang, Volodymyr V. Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang. eScience 2025: 196-204 [doi]

2024

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloudAndré Bauer 0001, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard. fgcs, 153:558-574, 2024. [doi]

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless FunctionsAndré Bauer 0001, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard. eScience 2024: 1-10 [doi]

Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance AnalysisAndré Bauer 0001, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard. wosp 2024: 72-76 [doi]

Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User EndpointsRachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang. xsede 2024: [doi]

Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus ComputeRachana Ananthakrishnan, Yadu Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang. sc 2024: 597-606 [doi]

Zero Code and Infrastructure Research Data PortalsJoe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster. xsede 2024: [doi]

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal BuffersThomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu. ccgrid 2024: 245-254 [doi]

Frontiers in Scientific Workflows: Pervasive Integration With High-Performance ComputingRafael Ferreira da Silva, Rosa M. Badia, Deborah Bard, Ian T. Foster, Shantenu Jha, Frédéric Suter. Computer, 57(8):36-44, August 2024. [doi]

XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud ComputingTorsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra. cse, 26(3):40-51, July - September 2024. [doi]

QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computingNathaniel Hudson, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster. fgcs, 157:250-263, 2024. [doi]

Enhancing Energy Efficiency with Multi-Site Scheduling StrategiesAlok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer 0001, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster. ipps 2024: 1175-1177 [doi]

min: A First-Principles Thermochemical Descriptor for Predicting Molecular SynthesizabilityAndrew S. Lee, Sarah Elliott, Hassan Harb, Logan T. Ward, Ian T. Foster, Larry A. Curtiss, Rajeev S. Assary. jcisd, 64(4):1277-1289, February 2024. [doi]

An End-to-End Programming Model for AI Engine ArchitecturesMaksim Levental, Arham Khan, Ryan Chard, Kyle Chard, Stephen Neuendorffer, Ian T. Foster. HEART 2024: 135-136 [doi]

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental ScienceMaksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster. HEART 2024: 10-17 [doi]

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function ServingYifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li. ipps 2024: 217-229 [doi]

MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer NodesXiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu. wosp 2024: 190-200 [doi]

Scaling transformer neural networks for skillful and reliable medium-range weather forecastingTung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian T. Foster, Sandeep Madireddy, Aditya Grover. nips 2024: [doi]

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific ComputingHaochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer 0001, Maxime Gonthier, Kyle Chard, Ian T. Foster. sc 2024: 496-507 [doi]

TaPS: A Performance Evaluation Suite for Task-based Execution FrameworksJ. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard. eScience 2024: 1-10 [doi]

De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystemThomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer 0001, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev. ijisec, 23(2):1149-1169, April 2024. [doi]

Evaluation is key: a survey on evaluation measures for synthetic time seriesMichael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer 0001. jbd, 11(1):66, December 2024. [doi]

Thinking in Categories: A Survey on Assessing the Quality for Time Series SynthesisMichael Stenger, André Bauer 0001, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev. jdiq, 16(2), June 2024. [doi]

Globus service enhancements for exascale applications and facilitiesWeijian Zheng, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster. ijhpca, 38(6):658-670, 2024. [doi]

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine LearningWeijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu. bigdataconf 2024: 4275-4282 [doi]

2023

Searching for the Ground Truth: Assessing the Similarity of Benchmarking RunsAndré Bauer 0001, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster. wosp 2023: 95-99 [doi]

MatPropXtractor: Generate to ExtractAswathy Ajith, Marcus Schwarting, Zhi-hong, Kyle Chard, Ian T. Foster. iclr 2023: [doi]

Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research InfrastructureRachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster. xsede 2023: 283-287 [doi]

Future of HPCRosa M. Badia, Ian T. Foster, Dejan S. Milojicic. internet, 27(1):5-6, January - February 2023. [doi]

Tournament-Based Pretraining to Accelerate Federated LearningMatt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer 0001, Ian T. Foster, Kyle Chard. sc 2023: 109-115 [doi]

Balancing Federated Learning Trade-Offs for Heterogeneous EnvironmentsMatt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard. percom 2023: 404-407 [doi]

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to SupercomputersAlexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster. sc 2023: 2140-2146 [doi]

Globus automation services: Research process automation across the space-time continuumRyan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster. fgcs, 142:393-409, May 2023. [doi]

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service PlatformAditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic. sc 2023: 1606-1613 [doi]

Exploring Benchmarks for Self-Driving Labs using Color MatchingTobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster. sc 2023: 2147-2152 [doi]

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing JobsMihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney. eScience 2023: 1-10 [doi]

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and VisionNathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer 0001, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster. bdc 2023: [doi]

Lazy Python Dependency Management in Large-Scale SystemsAlok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster. eScience 2023: 1-10 [doi]

Let's Put the Science in eScienceCarl Kesselman, Robert Schuler, Ian T. Foster. eScience 2023: 1-3 [doi]

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation FrameworkArham Khan, Sheng Di, Kai Zhao 0008, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello. hipc 2023: 132-142 [doi]

An Efficient and Accurate Compression Ratio Estimation Model for SZxArham Khan, Sheng Di, Kai Zhao 0008, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello. cluster 2023: 48-49 [doi]

Serverless Computing: What It Is, and What It Is Not?Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian T. Foster, Prashant Shenoy, Omer F. Rana, Andrew A. Chien. CACM, 66(9):80-92, September 2023. [doi]

Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy CompressionYuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello. icdcs 2023: 703-713 [doi]

FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural NetworksZhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster. ccgrid 2023: 299-310 [doi]

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor ApplicationsMelanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra. imm, 26(9):21-31, December 2023. [doi]

Rural AI: Serverless-Powered Federated Learning for Remote ApplicationsPanos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster. internet, 27(2):28-34, March - April 2023. [doi]

Accelerating Communications in Federated Applications with Transparent Object ProxiesJ. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster. sc 2023: [doi]

Active Research Data Management with the Django Globus Portal FrameworkNickolaus Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster. xsede 2023: 43-51 [doi]

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language ModelsMansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer 0001, Kyle Chard, Ian T. Foster. blackboxnlp 2023: 342-356 [doi]

Can Automated Metadata Extraction Make Scientific Data More Navigable?Tyler J. Skluzacek, Kyle Chard, Ian T. Foster. eScience 2023: 1-10 [doi]

An Empirical Study of Container Image Configurations and Their Impact on Start TimesMartin Straesser, André Bauer 0001, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev. ccgrid 2023: 94-105 [doi]

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron TomographyAniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu. eScience 2023: 1-10 [doi]

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific DataLipeng Wan, Jieyang Chen, Xin Liang 0001, Ana Gainaru, Qian Gong, Qing Liu 0002, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky. hpdc 2023: 87-100 [doi]

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous ResourcesLogan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster. ipps 2023: 32-41 [doi]

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl DataMaurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang 0001. nips 2023: [doi]

The Diminishing Returns of Masked Language Models to ScienceZhi-hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster. acl 2023: 1270-1283 [doi]

2022

Adaptive Edge-Cloud Environments for Rural AIOsama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster. IEEEscc 2022: 74-83 [doi]

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC PlatformsAymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha, Matteo Turilli. works-ws 2022: 27-34 [doi]

HiPS2022: The 2nd Workshop on High Performance Serverless ComputingYadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li. hpdc 2022: 290-291 [doi]

More Real Than Real: The Race to Simulate EverythingRosa M. Badia, Ian T. Foster, Dejan S. Milojicic. Computer, 55(7):67-72, 2022. [doi]

Exploring Tradeoffs in Federated Learning on Serverless Computing ArchitecturesMatt Baughman, Ian T. Foster, Kyle Chard. eScience 2022: 433-434 [doi]

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulationsAlexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha. ipps 2022: 806-816 [doi]

Assessing the Current State of AWS Spot Market ForecastabilitySimon Caton, Matt Baughman, Christian Haas 0003, Ryan Chard, Ian T. Foster, Kyle Chard. supercompcloud-ws 2022: 8-15 [doi]

SciStream: Architecture and Toolkit for Data Streaming between Federated Science InstrumentsJoaquín Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster. hpdc 2022: 185-198 [doi]

CUF-Links: Continuous and Ubiquitous FAIRness Linkages for Reproducible ResearchIan T. Foster, Carl Kesselman. Computer, 55(8):20-30, 2022. [doi]

MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography ImagingMert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu. tpds, 33(9):2014-2031, 2022. [doi]

FLoX: Federated Learning with FaaS at the EdgeNikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer Rana, Ian T. Foster, Kyle Chard. eScience 2022: 11-20 [doi]

Data-Driven Cloud Clustering via a Rotationally Invariant AutoencoderTakuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster. tgrs, 60:1-25, 2022. [doi]

AICCA: AI-Driven Cloud Classification AtlasTakuya Kurihana, Elisabeth Moyer, Ian T. Foster. remotesensing, 14(22):5690, 2022. [doi]

Ultrafast Focus Detection for Automated MicroscopyMaksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg. iccs 2022: 403-416 [doi]

$f$funcX: Federated Function as a Service for ScienceZhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard. tpds, 33(12):4948-4963, 2022. [doi]

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse ConstraintsYuanjian Liu, Sheng Di, Kai Zhao 0008, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello. tpds, 33(10):4440-4457, 2022. [doi]

A codesign framework for online data analysis and reductionKshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky. concurrency, 34(14), 2022. [doi]

Deep Neural Network Training With Distributed K-FACJ. Gregory Pauloski, Lei Huang 0019, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang 0007. tpds, 33(12):3616-3627, 2022. [doi]

Tracking Dubious Data: Protecting Scientific Workflows from Invalidated ExperimentsJim Pruyne, Justin M. Wozniak, Ian T. Foster. eScience 2022: 456-461 [doi]

Models and Metrics for Mining Meaningful MetadataTyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster. iccs 2022: 417-430 [doi]

Automated metadata extraction: challenges and opportunitiesTyler J. Skluzacek, Kyle Chard, Ian T. Foster. eScience 2022: 495-500 [doi]

Linking scientific instruments and computation: Patterns, technologies, and experiencesRafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster. patterns, 3(10):100606, 2022. [doi]

Improving I/O Performance for Exascale Applications Through Online Data Layout ReorganizationLipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang 0001, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky. tpds, 33(4):878-890, 2022. [doi]

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data EscrowSiyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez. pvldb, 15(11):3172-3185, 2022. [doi]

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