Kyle Chard

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 202

Top Venues

Publications

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) (2024)
Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov, Ketan Maheshwari, Aymen Alsaadi, André Merzky, Ramon Arambula, Mikhail Zakharchanka, Matt Cowan, Justin M. Wozniak, Andreas Wilke, Ozgur Ozan Kilic, Kyle Chard, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies. CoRR (2024)
Yuanjian Liu, Huihao Luo, Zhijun Han, Yao Hu, Yehui Yang, Kyle Chard, Sheng Di, Ian T. Foster, Jiesheng Wu
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework. CoRR (2024)
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR (2024)
Zhi Hong, Kyle Chard, Ian T. Foster
Combining Language and Graph Models for Semi-structured Information Extraction on the Web. CoRR (2024)
Lukasz Lacinski, Lee Liming, Steven Turoscy, Cameron Harr, Kyle Chard, Eli Dart, Paul Durack, Sasha Ames, Forrest M. Hoffman, Ian T. Foster
Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study. CoRR (2024)
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian Foster
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR (2024)
Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR (2024)
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
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR (2024)
Nathaniel Hudson, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Gener. Comput. Syst. 157 (2024)
Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. IPDPS (2024)
Maksim Levental, Arham Khan, Ryan Chard, Kyle Chard, Stephen Neuendorffer, Ian T. Foster
An End-to-End Programming Model for AI Engine Architectures. HEART (2024)
André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR (2024)
Rachana 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
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC (2024)
André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153 (2024)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
Object Proxy Patterns for Accelerating Distributed Applications. CoRR (2024)
Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART (2024)
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR (2024)
André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis. ICPE (Companion) (2024)
Poornima Nookala, Kyle Chard, Ioan Raicu
X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing. Future Gener. Comput. Syst. 159 (2024)
Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Boris Glavic, Ioan Raicu
SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems. J. Parallel Distributed Comput. 189 (2024)
Joe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster
Zero Code and Infrastructure Research Data Portals. PEARC (2024)
Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16 (2) (2024)
Jamison Kerney, Ioan Raicu, John Raicu, Kyle Chard
Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries. IPDPS (Workshops) (2024)
Nickolaus Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster
Active Research Data Management with the Django Globus Portal Framework. PEARC (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR (2023)
Abby Stevens, Jonathan Ozik, Kyle Chard, Jaline Gerardin, Justin M. Wozniak
NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling. CoRR (2023)
Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. WF-IoT (2023)
Tyler J. Skluzacek, Kyle Chard, Ian T. Foster
Can Automated Metadata Extraction Make Scientific Data More Navigable? e-Science (2023)
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
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27 (2) (2023)
Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC (2023)
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
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. CoRR (2023)
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
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26 (9) (2023)
Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster
Lazy Python Dependency Management in Large-Scale Systems. e-Science (2023)
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS (2023)
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models. CoRR (2023)
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR (2023)
André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) (2023)
Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard
The Changing Role of RSEs over the Lifetime of Parsl. CoRR (2023)
Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster
nelli: a lightweight frontend for MLIR. CoRR (2023)
Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid (2023)
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
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. e-Science (2023)
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 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.
Workflows Community Summit 2022: A Roadmap Revolution. CoRR (2023)
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
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR (2023)
Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan
Hierarchical and Decentralised Federated Learning. CoRR (2023)
Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster
MatPropXtractor: Generate to Extract. Tiny Papers @ ICLR (2023)
Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. PEARC (2023)
Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. CoRR (2023)
Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR (2023)
Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Ardindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. CoRR (2023)
Tim Shaffer, Thanh Son Phung, Kyle Chard, Douglas Thain
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
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
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC (2023)
Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR (2023)
Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. IPDPS Workshops (2023)
Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops (2023)
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
Towards a Modular Architecture for Science Factories. CoRR (2023)
Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops (2023)
Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster
Globus automation services: Research process automation across the space-time continuum. Future Gener. Comput. Syst. 142 (2023)
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
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops (2023)
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP (2023)
Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster
The Diminishing Returns of Masked Language Models to Science. ACL (Findings) (2023)
Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. CoRR (2023)
Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops (2023)
Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain
Maximizing Data Utility for HPC Python Workflow Execution. SC Workshops (2023)
Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops (2023)
Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Ioan Raicu
SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System. CCGRID (2022)
Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) (2022)
Tyler J. Skluzacek, Kyle Chard, Ian T. Foster
Automated metadata extraction: challenges and opportunities. e-Science (2022)
Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster
ScholarBERT: Bigger is Not Always Better. CoRR (2022)
Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur
Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage. UIST (2022)
Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer Rana, Ian T. Foster, Kyle Chard
FLoX: Federated Learning with FaaS at the Edge. e-Science (2022)
Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha, Matteo Turilli
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. WORKS@SC (2022)
Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster
Globus Automation Services: Research process automation across the space-time continuum. CoRR (2022)
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
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. CoRR (2022)
Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster
Models and Metrics for Mining Meaningful Metadata. ICCS (1) (2022)
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
funcX: Federated Function as a Service for Science. CoRR (2022)
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
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62 (1) (2022)
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR (2022)
Siyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15 (11) (2022)
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
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Osama Almurshed, Omer F. Rana, Kyle Chard
Greedy Nominator Heuristic: Virtual function placement on fog resources. Concurr. Comput. Pract. Exp. 34 (6) (2022)
Rafael 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
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR (2022)
Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster
Adaptive Edge-Cloud Environments for Rural AI. SCC (2022)
Matt Baughman, Ian T. Foster, Kyle Chard
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science (2022)
J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC (2022)
Rafael 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
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3 (10) (2022)
Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz
Extended Abstract: Productive Parallel Programming with Parsl. CoRR (2022)
Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud (2022)
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg
Ultrafast Focus Detection for Automated Microscopy. e-Science (2021)
J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR (2021)
Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. CoRR (2021)
Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann
Extreme Scale Survey Simulation with Python Workflows. e-Science (2021)
Tim Shaffer, Kyle Chard, Douglas Thain
An Empirical Study of Package Dependencies and Lifetimes in Binder Python Containers. e-Science (2021)
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
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC (2021)
A. S. Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann
Extreme Scale Survey Simulation with Python Workflows. CoRR (2021)
Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR (2021)
Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak
ExaWorks: Workflows for Exascale. WORKS (2021)

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Publication Activity (10 Years)

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Kyle Chard