Kyle Chard

According to our database, Kyle Chard authored at least 197 papers between 2005 and 2024.

Collaborative distances:

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

2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.

Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

CoRR, 2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.

Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster

CoRR, 2024

Combining Language and Graph Models for Semi-structured Information Extraction on the Web.

Zhi Hong, Kyle Chard, Ian T. Foster

CoRR, 2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.

André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster

CoRR, 2024

2023

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.

Melanie 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

IEEE Instrum. Meas. Mag., December, 2023

Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl.

Tim Shaffer, Thanh Son Phung, Kyle Chard, Douglas Thain

IEEE Trans. Parallel Distributed Syst., May, 2023

Globus automation services: Research process automation across the space-time continuum.

Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster

Future Gener. Comput. Syst., May, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Dataset, February, 2023

Rural AI: Serverless-Powered Federated Learning for Remote Applications.

Panos 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

IEEE Internet Comput., 2023

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.

Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster

CoRR, 2023

Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices.

Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman

CoRR, 2023

Towards a Modular Architecture for Science Factories.

Rafael Vescovi, Tobias Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T. Foster

CoRR, 2023

NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling.

Abby Stevens, Jonathan Ozik, Kyle Chard, Jaline Gerardin, Justin M. Wozniak

CoRR, 2023

nelli: a lightweight frontend for MLIR.

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster

CoRR, 2023

The Changing Role of RSEs over the Lifetime of Parsl.

Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard

CoRR, 2023

Hierarchical and Decentralised Federated Learning.

Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan

CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.

Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.

CoRR, 2023

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.

Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster

CoRR, 2023

Active Research Data Management with the Django Globus Portal Framework.

Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster

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

Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure.

Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster

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

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs.

André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Maximizing Data Utility for HPC Python Workflow Execution.

Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Accelerating Communications in Federated Applications with Transparent Object Proxies.

J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster

Proceedings of the International Conference for High Performance Computing, 2023

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform.

Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Tournament-Based Pretraining to Accelerate Federated Learning.

Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Balancing Federated Learning Trade-Offs for Heterogeneous Environments.

Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.

Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis.

Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

MatPropXtractor: Generate to Extract.

Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression.

Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Can Automated Metadata Extraction Make Scientific Data More Navigable?

Tyler J. Skluzacek, Kyle Chard, Ian T. Foster

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Lazy Python Dependency Management in Large-Scale Systems.

Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster

Proceedings of the 19th IEEE International Conference on e-Science, 2023

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs.

Mihael 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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

An Efficient and Accurate Compression Ratio Estimation Model for SZx.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.

Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models.

Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.

Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

The Diminishing Returns of Masked Language Models to Science.

Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Deep Neural Network Training With Distributed K-FAC.

J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang

IEEE Trans. Parallel Distributed Syst., 2022

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

IEEE Trans. Parallel Distributed Syst., 2022

$f$funcX: Federated Function as a Service for Science.

Zhuozhao 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

IEEE Trans. Parallel Distributed Syst., 2022

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.

Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez

Proc. VLDB Endow., 2022

Linking scientific instruments and computation: Patterns, technologies, and experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

Patterns, 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.

Zhuozhao 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

CoRR, 2022

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.

Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster

CoRR, 2022

ScholarBERT: Bigger is Not Always Better.

Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster

CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.

Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz

CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

CoRR, 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

Greedy Nominator Heuristic: Virtual function placement on fog resources.

Osama Almurshed, Omer F. Rana, Kyle Chard

Concurr. Comput. Pract. Exp., 2022

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.

Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha, Matteo Turilli

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage.

Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Assessing the Current State of AWS Spot Market Forecastability.

Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard

Proceedings of the IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies, 2022

Models and Metrics for Mining Meaningful Metadata.

Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster

Proceedings of the Computational Science - ICCS 2022, 2022

HiPS2022: The 2nd Workshop on High Performance Serverless Computing.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Automated metadata extraction: challenges and opportunities.

Tyler J. Skluzacek, Kyle Chard, Ian T. Foster

Proceedings of the 18th IEEE International Conference on e-Science, 2022

FLoX: Federated Learning with FaaS at the Edge.

Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures.

Matt Baughman, Ian T. Foster, Kyle Chard

Proceedings of the 18th IEEE International Conference on e-Science, 2022

SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System.

Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Ioan Raicu

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Adaptive Edge-Cloud Environments for Rural AI.

Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

DLHub: Simplifying publication, discovery, and use of machine learning models in science.

Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

J. Parallel Distributed Comput., 2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak

CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.

Aymen Alsaadi, André Merzky, Kyle Chard, Shantenu Jha, Matteo Turilli

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text.

Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster

CoRR, 2021

A Community Roadmap for Scientific Workflows Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows.

Thanh Son Phung, Logan T. Ward, Kyle Chard, Douglas Thain

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity.

Will Brackenbury, Andrew M. McNutt, Kyle Chard, Aaron J. Elmore, Blase Ur

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage.

Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

KAISA: an adaptive second-order optimizer framework for deep neural networks.

J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang

Proceedings of the International Conference for High Performance Computing, 2021

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.

Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.

Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures.

Poornima Nookala, Peter A. Dinda, Kyle C. Hale, Kyle Chard, Ioan Raicu

Proceedings of the 29th International Symposium on Modeling, 2021

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications.

Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.

Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

A Serverless Framework for Distributed Bulk Metadata Extraction.

Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost.

Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard

Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Extreme Scale Survey Simulation with Python Workflows.

Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann

Proceedings of the 17th IEEE International Conference on eScience, 2021

An Empirical Study of Package Dependencies and Lifetimes in Binder Python Containers.

Tim Shaffer, Kyle Chard, Douglas Thain

Proceedings of the 17th IEEE International Conference on eScience, 2021

Ultrafast Focus Detection for Automated Microscopy.

Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg

Proceedings of the 17th IEEE International Conference on eScience, 2021

Gold Panning: Automatic Extraction of Scientific Information from Publications.

Zhi Hong, Kyle Chard, Ian T. Foster

Proceedings of the 17th IEEE International Conference on eScience, 2021

Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources.

Matt Baughman, Ian T. Foster, Kyle Chard

Proceedings of the 17th IEEE International Conference on eScience, 2021

Federated Function as a Service for eScience.

Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

The Data Station: Combining Data, Compute, and Market Forces.

Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster

CoRR, 2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.

Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner

CoRR, 2020

Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications.

Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

An Open Ecosystem for Pervasive Use of Persistent Identifiers.

Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

OAuth SSH with Globus Auth.

Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.

Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

SciNER: Extracting Named Entities from Scientific Literature.

Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster

Proceedings of the Computational Science - ICCS 2020, 2020

funcX: A Federated Function Serving Fabric for Science.

Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Co-Operative Resource Allocation: Building an Open Cloud Market Using Shared Infrastructure.

Kyle Chard, Kris Bubendorfer

IEEE Trans. Cloud Comput., 2019

Computing environments for reproducibility: Capturing the "Whole Tale".

Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner

Future Gener. Comput. Syst., 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Serverless Supercomputing: High Performance Function as a Service for Science.

Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Cloud Futurology.

Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani

Computer, 2019

Publishing and Serving Machine Learning Models with DLHub.

Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Scalable Parallel Programming in Python with Parsl.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Petrel: A Programmatically Accessible Research Data Service.

William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Big Data Bags: A Scalable Packaging Format for Science.

Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus D. Saint, Rick Wagner

Proceedings of Workshop on Research Objects (RO2019), 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.

Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis

Proceedings of the Parallel Computing: Technology Trends, 2019

Serverless Workflows for Indexing Large Scientific Data.

Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster

Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.

Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.

Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster

Proceedings of the Computational Science - ICCS 2019, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.

Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis

Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Deconstructing the 2017 Changes to AWS Spot Market Pricing.

Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard

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

Parsl: Pervasive Parallel Programming in Python.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Active Learning Yields Better Training Data for Scientific Named Entity Recognition.

Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster

Proceedings of the 15th International Conference on eScience, 2019

Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses.

Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor

Proceedings of the 15th International Conference on eScience, 2019

Serverless Science for Simple, Scalable, and Shareable Scholarship.

Kyle Chard, Ian T. Foster

Proceedings of the 15th International Conference on eScience, 2019

FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems.

Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.

Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff.

Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Scalable pCT Image Reconstruction Delivered as a Cloud Service.

Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans

IEEE Trans. Cloud Comput., 2018

The Modern Research Data Portal: a design pattern for networked, data-intensive science.

Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams

PeerJ Comput. Sci., 2018

Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories.

Luann Jung, Brendan Whitaker, Kyle Chard, Aaron J. Elmore

CoRR, 2018

Globus Platform Services for Data Publication.

Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

Profiling and Predicting Application Performance on the Cloud.

Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster

Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

Draining the Data Swamp: A Similarity-based Approach.

Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

Reproducible big data science: A case study in continuous FAIRness.

Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis A. Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory C. Funk, Benjamin D. Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T. Foster

Proceedings of Workshop on Research Objects (RO2018), 2018

Parsl: Scalable Parallel Scripting in Python.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak

Proceedings of the 10th International Workshop on Science Gateways, 2018

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.

Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster

Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Predicting Amazon Spot Prices with LSTM Networks.

Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard

Proceedings of the 9th Workshop on Scientific Cloud Computing, 2018

Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data.

Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Enabling Interactive Analytics of Secure Data using Cloud Kotta.

Yadu N. Babuji, Kyle Chard, Eamon Duede

CoRR, 2017

A social content delivery network for e-Science.

Kyle Chard, Simon Caton, Kai Kugler, Omer F. Rana, Daniel S. Katz

Concurr. Comput. Pract. Exp., 2017

Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service.

Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan Ng, Kris Bubendorfer, Ian T. Foster

IEEE Cloud Comput., 2017

Globus: Research Data Management as Service and Platform.

Kyle Chard, Ian T. Foster, Steven Tuecke

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories.

Paul G. Beckman, Tyler J. Skluzacek, Kyle Chard, Ian T. Foster

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Probabilistic guarantees of execution duration for Amazon spot instances.

Rich Wolski, John Brevik, Ryan Chard, Kyle Chard

Proceedings of the International Conference for High Performance Computing, 2017

Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure.

Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster

Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

Ripple: Home Automation for Research Data Management.

Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Software Defined Cyberinfrastructure.

Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline.

Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Software Defined Cyberinfrastructure for Data Management.

Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Safe Collections and Stewardship on Cloud Kotta.

Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Toward Scalable Indexing and Search on Distributed and Unstructured Data.

Alexandru Iulian Orhean, Itua Ijagbone, Ioan Raicu, Kyle Chard, Dongfang Zhao

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Guest Editors Introduction: Special Issue on Scientific Cloud Computing.

Kate Keahey, Ioan Raicu, Kyle Chard, Bogdan Nicolae

IEEE Trans. Cloud Comput., 2016

Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management.

Kyle Chard, Mattias Lidman, Brendan McCollam, Josh Bryan, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster

Future Gener. Comput. Syst., 2016

Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments.

Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk

CoRR, 2016

Globus: Recent Enhancements and Future Plans.

Kyle Chard, Steven Tuecke, Ian T. Foster

Proceedings of the XSEDE16 Conference on Diversity, 2016

Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data.

Tyler J. Skluzacek, Kyle Chard, Ian T. Foster

Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

An Ensemble-Based Recommendation Engine for Scientific Data Transfers.

William Agnew, Michael Fischer, Ian T. Foster, Kyle Chard

Proceedings of the Seventh International Workshop on Data-Intensive Computing in the Clouds, 2016

A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature.

Roselyne Tchoua, Kyle Chard, Debra Audus, Jian Qin, Juan de Pablo, Ian T. Foster

Proceedings of the International Conference on Computational Science 2016, 2016

The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale.

Ian T. Foster, Kyle Chard, Steven Tuecke

Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Globus auth: A research identity and access management platform.

Steven Tuecke, Rachana Ananthakrishnan, Kyle Chard, Mattias Lidman, Brendan McCollam, Stephen Rosen, Ian T. Foster

Proceedings of the 12th IEEE International Conference on e-Science, 2016

A secure data enclave and analytics platform for social scientists.

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede

Proceedings of the 12th IEEE International Conference on e-Science, 2016

An Automated Tool Profiling Service for the Cloud.

Ryan Chard, Kyle Chard, Bryan Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets.

Kyle Chard, Mike D'Arcy, Benjamin D. Heavner, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Alexis A. Rodriguez, Stian Soiland-Reyes, Carole A. Goble, Kristi Clark, Eric W. Deutsch, Ivo D. Dinov, Nathan D. Price, Arthur W. Toga

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Cloud Kotta: Enabling secure and scalable data analytics in the cloud.

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Big biomedical data as the key resource for discovery science.

Arthur W. Toga, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Kyle Chard, Eric W. Deutsch, Nathan D. Price, Gustavo Glusman, Benjamin D. Heavner, Ivo D. Dinov, Joseph Ames, John D. Van Horn, Roger Kramer, Leroy E. Hood

J. Am. Medical Informatics Assoc., 2015

The Globus Galaxies platform: delivering science gateways as a service.

Ravi K. Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex A. Rodriguez, Dinanath Sulakhe, David Kelly, Utpal J. Dave, Ian T. Foster

Concurr. Comput. Pract. Exp., 2015

Globus platform-as-a-service for collaborative science applications.

Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster, Steven Tuecke

Concurr. Comput. Pract. Exp., 2015

Social Clouds: A Retrospective.

Kyle Chard, Simon Caton, Omer F. Rana, Kris Bubendorfer

IEEE Cloud Comput., 2015

A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows.

Vahid Arabnejad, Kris Bubendorfer, Bryan Ng, Kyle Chard

Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Using Active Data to Provide Smart Data Surveillance to E-Science Users.

Anthony Simonet, Kyle Chard, Gilles Fedak, Ian T. Foster

Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Assessing the Scale of Challenges for Preserving Research Data.

Umar Qasim, Jim Pruyne, Jason Knabl, Jason Hlady, Kyle Chard, Rachana Ananthakrishnan, Chuck Humphrey, John Huck, Leanne Trimble, Alex Garnett, Dugan O'Neil, Sean Cavanaugh

Proceedings of the 12th International Conference on Digital Preservation, 2015

Globus Data Publication as a Service: Lowering Barriers to Reproducible Science.

Kyle Chard, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Cost-Aware Cloud Provisioning.

Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Big Data Remote Access Interfaces for Light Source Science.

Justin M. Wozniak, Kyle Chard, Ben Blaiszik, Ray Osborn, Michael Wilde, Ian T. Foster

Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.

Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

A Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks.

Simon Caton, Christian Haas, Kyle Chard, Kris Bubendorfer, Omer F. Rana

IEEE Trans. Serv. Comput., 2014

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses.

Bo Liu, Ravi K. Madduri, Borja Sotomayor, Kyle Chard, Lukasz Lacinski, Utpal J. Dave, Jianqiang Li, Chunchen Liu, Ian T. Foster

J. Biomed. Informatics, 2014

Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services.

Ravi K. Madduri, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Alex A. Rodriguez, Kyle Chard, Utpal J. Dave, Ian T. Foster

Concurr. Comput. Pract. Exp., 2014

Efficient and Secure Transfer, Synchronization, and Sharing of Big Data.

Kyle Chard, Steven Tuecke, Ian T. Foster

IEEE Cloud Comput., 2014

A cloud-based image analysis gateway for traumatic brain injury research.

Kyle Chard, Ravi K. Madduri, Xia Jiang, Farid Dahi, Michael W. Vannier, Ian T. Foster

Proceedings of the 9th Gateway Computing Environments Workshop, 2014

Benchmarking cloud-based tagging services.

Tanu Malik, Kyle Chard, Ian T. Foster

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Networking Materials Data: Accelerating Discovery at Experimental Facilities.

Ian T. Foster, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ray Osborn, Steven Tuecke, Michael Wilde, Justin M. Wozniak

Proceedings of the Big Data and High Performance Computing, 2014

On Replica Placement in a Social CDN for e-Science.

Kai Kugler, Simon Caton, Kyle Chard, Daniel S. Katz

Proceedings of the 10th IEEE International Conference on e-Science, 2014

Globus Nexus: Research Identity, Profile, and Group Management as a Service.

Kyle Chard, Mattias Lidman, Josh Bryan, Tom Howe, Brendan McCollam, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster

Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013

High Performance Resource Allocation Strategies for Computational Economies.

Kyle Chard, Kris Bubendorfer

IEEE Trans. Parallel Distributed Syst., 2013

eScience in the Social Cloud.

Kris Bubendorfer, Kyle Chard, John Koshy, Ashfag M. Thaufeeg

Future Gener. Comput. Syst., 2013

Co-operative Infrastructures: An Economic Model for Providing Infrastructures for Social Cloud Computing.

Christian Haas, Simon Caton, Kyle Chard, Christof Weinhardt

Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Constructing a Social Content Delivery Network for eScience.

Kai Kugler, Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz

Proceedings of the 9th IEEE International Conference on eScience, 2013

Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications.

Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ian T. Foster, Tom Howe, Mattias Lidman, Steven Tuecke

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012

Social Cloud Computing: A Vision for Socially Motivated Resource Sharing.

Kyle Chard, Kris Bubendorfer, Simon Caton, Omer F. Rana

IEEE Trans. Serv. Comput., 2012

Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision.

Bo Liu, Borja Sotomayor, Ravi K. Madduri, Kyle Chard, Ian T. Foster

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture.

Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Experiences in the design and implementation of a Social Cloud for Volunteer Computing.

Ryan Chard, Kris Bubendorfer, Kyle Chard

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011

Collaborative eResearch in a Social Cloud.

Ashfag M. Thaufeeg, Kris Bubendorfer, Kyle Chard

Proceedings of the IEEE 7th International Conference on E-Science, 2011

A Social Cloud for Public eResearch.

John Koshy, Kris Bubendorfer, Kyle Chard

Proceedings of the IEEE 7th International Conference on E-Science, 2011

Scalability and cost of a cloud-based approach to medical NLP.

Kyle Chard, Michael Russell, Yves A. Lussier, Eneida A. Mendonça, Jonathan C. Silverstein

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010

High occupancy resource allocation for grid and cloud systems, a study with DRIVE.

Kyle Chard, Kris Bubendorfer, Peter Komisarczuk

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Social Cloud: Cloud Computing in Social Networks.

Kyle Chard, Simon Caton, Omer F. Rana, Kris Bubendorfer

Proceedings of the IEEE International Conference on Cloud Computing, 2010

2009

Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach.

Wei Tan, Kyle Chard, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster, Stian Soiland-Reyes, Carole A. Goble

Proceedings of the IEEE International Conference on Web Services, 2009

Wrap Scientific Applications as WSRF Grid Services Using gRAVI.

Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madduri, Ian T. Foster

Proceedings of the IEEE International Conference on Web Services, 2009

2008

Build Grid Enabled Scientific Workflows Using gRAVI and Taverna.

Kyle Chard, Cem Onyuksel, Wei Tan, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster

Proceedings of the Fourth International Conference on e-Science, 2008

A Distributed Economic Meta-scheduler for the Grid.

Kyle Chard, Kris Bubendorfer

Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2005

Efficient dynamic resource specifications.

Kris Bubendorfer, Peter Komisarczuk, Kyle Chard

Proceedings of the 6th International Conference on Mobile Data Management (MDM 2005), 2005

Fine Grained Resource Reservation and Management in Grid Economics.

Kyle Chard, Peter Komisarczuk, Kris Bubendorfer, Ankur Desai

Proceedings of The 2005 International Conference on Grid Computing and Applications, 2005