Kyle Chard
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
27
Active years
2005–2026
Best venue rank
A*
Where they publish
- ASC24 papers
- AHPDC12 papers
- BCCGRID6 papers
- MulticonferenceICCS6 papers
- CCLUSTER3 papers
- AICS2 papers
- A*ICLR2 papers
- BICPP2 papers
- NationalHiPC2 papers
- AICDCS2 papers
- A*UIST2 papers
- UnrankedUCC2 papers
- AICWS2 papers
- A*ACL1 paper
- A*PERCOM1 paper
- BMASCOTS1 paper
- A*SIGIR1 paper
- CCloudCom1 paper
- AMiddleware1 paper
- A*SIGMOD1 paper
- BBigData1 paper
- BSSDBM1 paper
- BIC2E1 paper
- CPDP1 paper
- A*ICDE1 paper
- BCBMS1 paper
- BMDM1 paper
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPDC | Towards Transparent Checkpointing with AI-driven Code Generation. | Hai Duc Nguyen, Tekin Bicer, Kyle Chard, Ian T. Foster, Bogdan Nicolae |
| 2026 | ICS | StreamGuard: Low-Overhead Resilience for Real-time HPC Data Streams. | Hai Duc Nguyen, Bogdan Nicolae, Tekin Bicer, Amal Gueroudji, Matthieu Dorier, Kyle Chard, Ian T. Foster |
| 2025 | CCGRID | Dynostore: A Wide-Area Distribution System for the Management of Data Over Heterogeneous Storage. | Dante D. Snchez-Gallegos, Jos Luis Gonzlez Compen, Maxime Gonthier, Valrie Hayot-Sasson, J. Gregory Pauloski, Haochen Pan, Kyle Chard, Jess Carretero, Ian T. Foster |
| 2025 | CCGRID | Wrath: Workload Resilience Across Task Hierarchies in Task-Based Parallel Programming Frameworks. | Sicheng Zhou, Zhuozhao Li, Valrie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster |
| 2025 | ICCS | Will It Blend? Mixing Numerical and Machine-Learned Physics Quantities for Accurate on-the-Fly Surrogate Modeling. | Michael Tynes, Kyle Chard, Ian T. Foster, Logan T. Ward |
| 2025 | ICLR | Mitigating Memorization in Language Models. | Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney |
| 2025 | ICPP | Deadline-Aware Scheduling of Mixed-Criticality Tasks. | Maxime Gonthier, Kyle Chard, Ian T. Foster, Loris Marchal, Frdric Vivien |
| 2025 | ICS | D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. | Maxime Gonthier, Dante D. Snchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen, Valrie Hayot-Sasson, J. Gregory Pauloski, Jess Carretero, Kyle Chard, Ian T. Foster |
| 2025 | SC | What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. | Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao |
| 2025 | SC | XaaS Containers: Performance-Portable Representation With Source and IR Containers. | Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valrie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler |
| 2025 | SC | RESILIO : A Scalable and Composable Architecture for Tomographic Reconstruction Workflows. | Amal Gueroudji, Matthieu Dorier, Philip H. Carns, Parth Patel, Tekin Bicer, Robert Latham, Robert B. Ross, Kyle Chard, Ian T. Foster |
| 2025 | SC | Addressing Reproducibility Challenges in HPC with Continuous Integration. | Valrie Hayot-Sasson, Nathaniel Hudson, Andr Bauer, Maxime Gonthier, Ian T. Foster, Kyle Chard |
| 2025 | SC | Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. | Alok Kamatar, Maxime Gonthier, Valrie Hayot-Sasson, Andr Bauer, Marcin Copik, Raul Castro Fernandez, Torsten Hoefler, Kyle Chard, Ian T. Foster |
| 2025 | SC | Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant. | Seth Ockerman, Amal Gueroudji, Song Young Oh, Robert Underwood, Nicholas Chia, Kyle Chard, Robert B. Ross, Shivaram Venkataraman |
| 2025 | SC | StreamHub: High-performance Managed SciStream as a Service. | Seena Vazifedunn, Flavio Castro, Rajkumar Kettimuthu, Ian T. Foster, Kyle Chard |
| 2024 | HPDC | Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. | Thanh Son Phung, Colin Thomas, Logan T. Ward, Kyle Chard, Douglas Thain |
| 2024 | SC | Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. | Rachana Ananthakrishnan, Yadu N. 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 |
| 2024 | SC | Parsl+CWL: Towards Combining the Python and CWL Ecosystems. | Nishchay Karle, Ben Clifford, Yadu N. Babuji, Ryan Chard, Daniel S. Katz, Kyle Chard |
| 2024 | SC | Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. | Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valrie Hayot-Sasson, Andr Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster |
| 2023 | ACL | The Diminishing Returns of Masked Language Models to Science. | Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster |
| 2023 | CCGRID | An Empirical Study of Container Image Configurations and Their Impact on Start Times. | Martin Straesser, Andr Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev |
| 2023 | CLUSTER | 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 |
| 2023 | HiPC | 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 |
| 2023 | ICDCS | Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. | Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello |
| 2023 | ICLR | MatPropXtractor: Generate to Extract. | Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster |
| 2023 | PERCOM | Balancing Federated Learning Trade-Offs for Heterogeneous Environments. | Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard |
| 2023 | SC | Tournament-Based Pretraining to Accelerate Federated Learning. | Matt Baughman, Nathaniel Hudson, Ryan Chard, Andr Bauer, Ian T. Foster, Kyle Chard |
| 2023 | SC | 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 |
| 2023 | SC | Accelerating Communications in Federated Applications with Transparent Object Proxies. | J. Gregory Pauloski, Valrie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster |
| 2023 | SC | Maximizing Data Utility for HPC Python Workflow Execution. | Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain |
| 2022 | CCGRID | 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 |
| 2022 | HPDC | HiPS2022: The 2nd Workshop on High Performance Serverless Computing. | Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li |
| 2022 | ICCS | Ultrafast Focus Detection for Automated Microscopy. | Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg |
| 2022 | ICCS | Models and Metrics for Mining Meaningful Metadata. | Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster |
| 2022 | UIST | Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage. | Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur |
| 2021 | HiPC | 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 |
| 2021 | HPDC | Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. | Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard |
| 2021 | HPDC | A Serverless Framework for Distributed Bulk Metadata Extraction. | Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, 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 Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr 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 |
| 2021 | MASCOTS | 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 |
| 2021 | SIGIR | 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 |
| 2021 | SC | 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 |
| 2021 | SC | 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 |
| 2021 | UIST | 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 |
| 2020 | HPDC | 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 |
| 2020 | ICCS | SciNER: Extracting Named Entities from Scientific Literature. | Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster |
| 2020 | SC | 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 |
| 2019 | CloudCom | 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 |
| 2019 | CLUSTER | FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. | Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster |
| 2019 | HPDC | 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 |
| 2019 | HPDC | Deconstructing the 2017 Changes to AWS Spot Market Pricing. | Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard |
| 2019 | HPDC | Implementing Computational Reproducibility in the Whole Tale Environment. | Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis |
| 2019 | ICCS | 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 |
| 2019 | Middleware | 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 |
| 2018 | HPDC | Predicting Amazon Spot Prices with LSTM Networks. | Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard |
| 2018 | HPDC | 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 |
| 2018 | SIGMOD | Draining the Data Swamp: A Similarity-based Approach. | Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin |
| 2018 | UCC | Profiling and Predicting Application Performance on the Cloud. | Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster |
| 2017 | BigData | Toward Scalable Indexing and Search on Distributed and Unstructured Data. | Alexandru Iulian Orhean, Itua Ijagbone, Ioan Raicu, Kyle Chard, Dongfang Zhao |
| 2017 | ICDCS | Software Defined Cyberinfrastructure. | Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard |
| 2017 | SC | 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 |
| 2017 | SC | Probabilistic guarantees of execution duration for Amazon spot instances. | Rich Wolski, John Brevik, Ryan Chard, Kyle Chard |
| 2017 | SSDBM | Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories. | Paul G. Beckman, Tyler J. Skluzacek, Kyle Chard, Ian T. Foster |
| 2016 | CCGRID | An Automated Tool Profiling Service for the Cloud. | Ryan Chard, Kyle Chard, Bryan C. K. Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster |
| 2016 | IC2E | The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale. | Ian T. Foster, Kyle Chard, Steven Tuecke |
| 2016 | ICCS | 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 |
| 2016 | SC | An Ensemble-Based Recommendation Engine for Scientific Data Transfers. | William Agnew, Michael Fischer, Ian T. Foster, Kyle Chard |
| 2016 | SC | Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data. | Tyler J. Skluzacek, Kyle Chard, Ian T. Foster |
| 2015 | PDP | Using Active Data to Provide Smart Data Surveillance to E-Science Users. | Anthony Simonet, Kyle Chard, Gilles Fedak, Ian T. Foster |
| 2015 | UCC | A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows. | Vahid Arabnejad, Kris Bubendorfer, Bryan C. K. Ng, Kyle Chard |
| 2014 | ICDE | Benchmarking cloud-based tagging services. | Tanu Malik, Kyle Chard, Ian T. Foster |
| 2014 | SC | 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 |
| 2013 | CLUSTER | 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 |
| 2012 | SC | A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture. | Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz |
| 2012 | SC | Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision. | Bo Liu, Borja Sotomayor, Ravi K. Madduri, Kyle Chard, Ian T. Foster |
| 2011 | CBMS | Scalability and cost of a cloud-based approach to medical NLP. | Kyle Chard, Michael Russell, Yves A. Lussier, Eneida A. Mendona, Jonathan C. Silverstein |
| 2010 | HPDC | High occupancy resource allocation for grid and cloud systems, a study with DRIVE. | Kyle Chard, Kris Bubendorfer, Peter Komisarczuk |
| 2009 | ICWS | Wrap Scientific Applications as WSRF Grid Services Using gRAVI. | Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madduri, Ian T. Foster |
| 2009 | ICWS | 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 |
| 2008 | CCGRID | A Distributed Economic Meta-scheduler for the Grid. | Kyle Chard, Kris Bubendorfer |
| 2005 | MDM | Efficient dynamic resource specifications. | Kris Bubendorfer, Peter Komisarczuk, Kyle Chard |