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Journal Articles
- 2024
[j37]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: 558-574 (2024)- [j36]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: 250-263 (2024) - [j35]Poornima Nookala, Kyle Chard, Ioan Raicu:
X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing. Future Gener. Comput. Syst. 159: 444-458 (2024) - [j34]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): 14:1-14:32 (2024) - [j33]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: 104878 (2024) - 2023
- [j32]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: 393-409 (2023) - [j31]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): 21-31 (2023) - [j30]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): 28-34 (2023) - [j29]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): 1376-1389 (2023) - 2022
- [j28]Osama Almurshed, Omer F. Rana, Kyle Chard:
Greedy Nominator Heuristic: Virtual function placement on fog resources. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j27]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): 116-128 (2022) - [j26]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:
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [j25]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. Proc. VLDB Endow. 15(11): 3172-3185 (2022) - [j24]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): 4440-4457 (2022) - [j23]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): 3616-3627 (2022) - [j22]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): 4948-4963 (2022) - 2021
- [j21]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:
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021) - 2019
- [j20]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:
Cloud Futurology. Computer 52(9): 68-77 (2019) - [j19]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:
Computing environments for reproducibility: Capturing the "Whole Tale". Future Gener. Comput. Syst. 94: 854-867 (2019) - [j18]Kyle Chard, Kris Bubendorfer:
Co-Operative Resource Allocation: Building an Open Cloud Market Using Shared Infrastructure. IEEE Trans. Cloud Comput. 7(1): 183-195 (2019) - 2018
- [j17]Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams:
The Modern Research Data Portal: a design pattern for networked, data-intensive science. PeerJ Comput. Sci. 4: e144 (2018) - [j16]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:
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6(1): 182-195 (2018) - 2017
- [j15]Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan Ng, Kris Bubendorfer, Ian T. Foster:
Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service. IEEE Cloud Comput. 4(4): 48-59 (2017) - [j14]Kyle Chard, Simon Caton, Kai Kugler, Omer F. Rana, Daniel S. Katz:
A social content delivery network for e-Science. Concurr. Comput. Pract. Exp. 29(4) (2017) - 2016
- [j13]Kyle Chard, Mattias Lidman, Brendan McCollam, Josh Bryan, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management. Future Gener. Comput. Syst. 56: 571-583 (2016) - [j12]Kate Keahey, Ioan Raicu, Kyle Chard, Bogdan Nicolae:
Guest Editors Introduction: Special Issue on Scientific Cloud Computing. IEEE Trans. Cloud Comput. 4(1): 4-5 (2016) - 2015
- [j11]Kyle Chard, Simon Caton, Omer F. Rana, Kris Bubendorfer:
Social Clouds: A Retrospective. IEEE Cloud Comput. 2(6): 30-40 (2015) - [j10]Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster, Steven Tuecke:
Globus platform-as-a-service for collaborative science applications. Concurr. Comput. Pract. Exp. 27(2): 290-305 (2015) - [j9]Ravi K. Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex A. Rodriguez, Dinanath Sulakhe, David Kelly, Utpal J. Dave, Ian T. Foster:
The Globus Galaxies platform: delivering science gateways as a service. Concurr. Comput. Pract. Exp. 27(16): 4344-4360 (2015) - [j8]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:
Big biomedical data as the key resource for discovery science. J. Am. Medical Informatics Assoc. 22(6): 1126-1131 (2015) - 2014
- [j7]Kyle Chard, Steven Tuecke, Ian T. Foster:
Efficient and Secure Transfer, Synchronization, and Sharing of Big Data. IEEE Cloud Comput. 1(3): 46-55 (2014) - [j6]Ravi K. Madduri, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Alex A. Rodriguez, Kyle Chard, Utpal J. Dave, Ian T. Foster:
Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services. Concurr. Comput. Pract. Exp. 26(13): 2266-2279 (2014) - [j5]Bo Liu, Ravi K. Madduri, Borja Sotomayor, Kyle Chard, Lukasz Lacinski, Utpal J. Dave, Jianqiang Li, Chunchen Liu, Ian T. Foster:
Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses. J. Biomed. Informatics 49: 119-133 (2014) - [j4]Simon Caton, Christian Haas, Kyle Chard, Kris Bubendorfer, Omer F. Rana:
A Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks. IEEE Trans. Serv. Comput. 7(3): 359-372 (2014) - 2013
- [j3]Kris Bubendorfer, Kyle Chard, John Koshy, Ashfag M. Thaufeeg:
eScience in the Social Cloud. Future Gener. Comput. Syst. 29(8): 2143-2156 (2013) - [j2]Kyle Chard, Kris Bubendorfer:
High Performance Resource Allocation Strategies for Computational Economies. IEEE Trans. Parallel Distributed Syst. 24(1): 72-84 (2013) - 2012
- [j1]Kyle Chard, Kris Bubendorfer, Simon Caton, Omer F. Rana:
Social Cloud Computing: A Vision for Socially Motivated Resource Sharing. IEEE Trans. Serv. Comput. 5(4): 551-563 (2012)
Conference and Workshop Papers
- 2024
- [c144]André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10 - [c143]Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science 2024: 1-9 - [c142]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science 2024: 1-10 - [c141]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: 10-17 - [c140]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: 135-136 - [c139]Thanh Son Phung, Colin Thomas, Logan T. Ward, Kyle Chard, Douglas Thain:
Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. HPDC 2024: 122-134 - [c138]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: 217-229 - [c137]Jamison Kerney, Ioan Raicu, John Raicu, Kyle Chard:
Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries. IPDPS (Workshops) 2024: 706-715 - [c136]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: 1175-1177 - [c135]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: 72-76 - [c134]Joe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster:
Zero Code and Infrastructure Research Data Portals. PEARC 2024: 36:1-36:4 - [c133]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: 62:1-62:5 - 2023
- [c132]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: 1270-1283 - [c131]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: 15:1-15:10 - [c130]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: 342-356 - [c129]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: 94-105 - [c128]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: 48-49 - [c127]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: 1-10 - [c126]Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster:
Lazy Python Dependency Management in Large-Scale Systems. e-Science 2023: 1-10 - [c125]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Can Automated Metadata Extraction Make Scientific Data More Navigable? e-Science 2023: 1-10 - [c124]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: 132-142 - [c123]Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS 2023: 703-713 - [c122]Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. Tiny Papers @ ICLR 2023 - [c121]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: 32-41 - [c120]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: 868-877 - [c119]Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops 2023: 404-407 - [c118]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: 59:1-59:15 - [c117]Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard:
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115 - [c116]Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain:
Maximizing Data Utility for HPC Python Workflow Execution. SC Workshops 2023: 636-640 - [c115]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: 1606-1613 - [c114]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: 1-6 - [c113]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: 95-99 - [c112]Nickolaus D. 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: 43-51 - [c111]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: 283-287 - 2022
- [c110]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: 74-83 - [c109]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: 51-60 - [c108]Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard:
FLoX: Federated Learning with FaaS at the Edge. e-Science 2022: 11-20 - [c107]Matt Baughman, Ian T. Foster, Kyle Chard:
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science 2022: 433-434 - [c106]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Automated metadata extraction: challenges and opportunities. e-Science 2022: 495-500 - [c105]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - [c104]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) 2022: 403-416 - [c103]Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster:
Models and Metrics for Mining Meaningful Metadata. ICCS (1) 2022: 417-430 - [c102]Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard:
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud 2022: 8-15 - [c101]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: 95:1-95:11 - [c100]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: 27-34 - 2021
- [c99]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: 206-214 - [c98]Tim Shaffer, Kyle Chard, Douglas Thain:
An Empirical Study of Package Dependencies and Lifetimes in Binder Python Containers. e-Science 2021: 215-224 - [c97]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. e-Science 2021: 237-238 - [c96]Zhi Hong, Kyle Chard, Ian T. Foster:
Gold Panning: Automatic Extraction of Scientific Information from Publications. e-Science 2021: 243-244 - [c95]Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li:
Federated Function as a Service for eScience. e-Science 2021: 251-252 - [c94]Matt Baughman, Ian T. Foster, Kyle Chard:
Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources. e-Science 2021: 267-268 - [c93]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399 - [c92]Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster:
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18 - [c91]Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard:
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. HiPS@HPDC 2021: 9-12 - [c90]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:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12 - [c89]Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard:
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops 2021: 66-75 - [c88]Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain:
Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications. IPDPS 2021: 786-796 - [c87]Poornima Nookala, Peter A. Dinda, Kyle C. Hale, Kyle Chard, Ioan Raicu:
Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures. MASCOTS 2021: 1-8 - [c86]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: 9-20 - [c85]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. SC 2021: 13 - [c84]Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46 - [c83]Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur:
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. SIGIR 2021: 787-797 - [c82]Will Brackenbury, Andrew M. McNutt, Kyle Chard, Aaron J. Elmore, Blase Ur:
KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity. UIST 2021: 69-83 - [c81]Thanh Son Phung, Logan T. Ward, Kyle Chard, Douglas Thain:
Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows. WORKS 2021: 17-24 - [c80]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:
ExaWorks: Workflows for Exascale. WORKS 2021: 50-57 - [c79]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:
A Community Roadmap for Scientific Workflows Research and Development. WORKS 2021: 81-90 - 2020
- [c78]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. HPDC 2020: 65-76 - [c77]Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster:
SciNER: Extracting Named Entities from Scientific Literature. ICCS (2) 2020: 308-321 - [c76]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:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. XLOOP@SC 2020: 35-40 - [c75]Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke:
OAuth SSH with Globus Auth. PEARC 2020: 34-40 - [c74]Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner:
An Open Ecosystem for Pervasive Use of Persistent Identifiers. PEARC 2020: 99-105 - [c73]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. PEARC 2020: 522-525 - 2019
- [c72]Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster:
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. IEEE BigData 2019: 3616-3622 - [c71]Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt:
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom 2019: 255-262 - [c70]Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster:
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. CLUSTER 2019: 1-11 - [c69]Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster:
Active Learning Yields Better Training Data for Scientific Named Entity Recognition. eScience 2019: 126-135 - [c68]Kyle Chard, Ian T. Foster:
Serverless Science for Simple, Scalable, and Shareable Scholarship. eScience 2019: 432-438 - [c67]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:
Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses. eScience 2019: 514-521 - [c66]Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis:
Implementing Computational Reproducibility in the Whole Tale Environment. P-RECS@HPDC 2019: 17-22 - [c65]Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard:
Deconstructing the 2017 Changes to AWS Spot Market Pricing. ScienceCloud@HPDC 2019: 19-26 - [c64]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:
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36 - [c63]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:
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort. ICCS (1) 2019: 398-411 - [c62]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292 - [c61]Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster:
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48 - [c60]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:
Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform. PARCO 2019: 766-778 - [c59]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard:
Scalable Parallel Programming in Python with Parsl. PEARC 2019: 22:1-22:8 - [c58]William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner:
Petrel: A Programmatically Accessible Research Data Service. PEARC 2019: 49:1-49:7 - [c57]Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster:
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7 - 2018
- [c56]Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster:
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. eScience 2018: 256-266 - [c55]Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard:
Predicting Amazon Spot Prices with LSTM Networks. ScienceCloud@HPDC 2018: 1:1-1:7 - [c54]Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster:
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7 - [c53]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak:
Parsl: Scalable Parallel Scripting in Python. IWSG 2018 - [c52]Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin:
Draining the Data Swamp: A Similarity-based Approach. HILDA@SIGMOD 2018: 13:1-13:7 - [c51]Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster:
Profiling and Predicting Application Performance on the Cloud. UCC 2018: 21-30 - [c50]Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster:
Globus Platform Services for Data Publication. PEARC 2018: 14:1-14:7 - 2017
- [c49]Alexandru Iulian Orhean, Itua Ijagbone, Ioan Raicu, Kyle Chard, Dongfang Zhao:
Toward Scalable Indexing and Search on Distributed and Unstructured Data. BigData Congress 2017: 31-38 - [c48]Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster:
Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. eScience 2017: 109-118 - [c47]Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster:
Software Defined Cyberinfrastructure for Data Management. eScience 2017: 456-457 - [c46]Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster:
Safe Collections and Stewardship on Cloud Kotta. eScience 2017: 498-503 - [c45]Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard:
Software Defined Cyberinfrastructure. ICDCS 2017: 1808-1814 - [c44]Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster:
Ripple: Home Automation for Research Data Management. ICDCS Workshops 2017: 389-394 - [c43]Rich Wolski, John Brevik, Ryan Chard, Kyle Chard:
Probabilistic guarantees of execution duration for Amazon spot instances. SC 2017: 18 - [c42]Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster:
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure. PDSW-DISCS@SC 2017: 49-54 - [c41]Paul G. Beckman, Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories. SSDBM 2017: 41:1-41:4 - [c40]Kyle Chard, Ian T. Foster, Steven Tuecke:
Globus: Research Data Management as Service and Platform. PEARC 2017: 26:1-26:5 - 2016
- [c39]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
Cloud Kotta: Enabling secure and scalable data analytics in the cloud. IEEE BigData 2016: 302-310 - [c38]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:
I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. IEEE BigData 2016: 319-328 - [c37]Ryan Chard, Kyle Chard, Bryan Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster:
An Automated Tool Profiling Service for the Cloud. CCGrid 2016: 223-232 - [c36]Steven Tuecke, Rachana Ananthakrishnan, Kyle Chard, Mattias Lidman, Brendan McCollam, Stephen Rosen, Ian T. Foster:
Globus auth: A research identity and access management platform. eScience 2016: 203-212 - [c35]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
A secure data enclave and analytics platform for social scientists. eScience 2016: 337-342 - [c34]Ian T. Foster, Kyle Chard, Steven Tuecke:
The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale. IC2E 2016: 68-77 - [c33]Roselyne Tchoua, Kyle Chard, Debra Audus, Jian Qin, Juan de Pablo, Ian T. Foster:
A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature. ICCS 2016: 386-397 - [c32]William Agnew, Michael Fischer, Ian T. Foster, Kyle Chard:
An Ensemble-Based Recommendation Engine for Scientific Data Transfers. DataCloud@SC 2016: 9-16 - [c31]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data. PDSW-DISCS@SC 2016: 31-36 - [c30]Kyle Chard, Steven Tuecke, Ian T. Foster:
Globus: Recent Enhancements and Future Plans. XSEDE 2016: 27:1-27:8 - 2015
- [c29]Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster:
Cost-Aware Elastic Cloud Provisioning for Scientific Workloads. CLOUD 2015: 971-974 - [c28]Justin M. Wozniak, Kyle Chard, Ben Blaiszik, Ray Osborn, Michael Wilde, Ian T. Foster:
Big Data Remote Access Interfaces for Light Source Science. BDC 2015: 51-60 - [c27]Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster:
Cost-Aware Cloud Provisioning. e-Science 2015: 136-144 - [c26]Kyle Chard, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Data Publication as a Service: Lowering Barriers to Reproducible Science. e-Science 2015: 401-410 - [c25]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:
Assessing the Scale of Challenges for Preserving Research Data. iPRES 2015 - [c24]Anthony Simonet, Kyle Chard, Gilles Fedak, Ian T. Foster:
Using Active Data to Provide Smart Data Surveillance to E-Science Users. PDP 2015: 269-273 - [c23]Vahid Arabnejad, Kris Bubendorfer, Bryan Ng, Kyle Chard:
A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows. UCC 2015: 242-250 - 2014
- [c22]Kai Kugler, Simon Caton, Kyle Chard, Daniel S. Katz:
On Replica Placement in a Social CDN for e-Science. eScience 2014: 13-20 - [c21]Kyle Chard, Mattias Lidman, Josh Bryan, Tom Howe, Brendan McCollam, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Nexus: Research Identity, Profile, and Group Management as a Service. eScience 2014: 31-38 - [c20]Ian T. Foster, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ray Osborn, Steven Tuecke, Michael Wilde, Justin M. Wozniak:
Networking Materials Data: Accelerating Discovery at Experimental Facilities. High Performance Computing Workshop 2014: 117-132 - [c19]Tanu Malik, Kyle Chard, Ian T. Foster:
Benchmarking cloud-based tagging services. ICDE Workshops 2014: 231-238 - [c18]Kyle Chard, Ravi K. Madduri, Xia Jiang, Farid Dahi, Michael W. Vannier, Ian T. Foster:
A cloud-based image analysis gateway for traumatic brain injury research. GCE@SC 2014: 13-16 - 2013
- [c17]Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ian T. Foster, Tom Howe, Mattias Lidman, Steven Tuecke:
Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications. CLUSTER 2013: 1-3 - [c16]Kai Kugler, Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz:
Constructing a Social Content Delivery Network for eScience. e-Science 2013: 350-356 - [c15]Christian Haas, Simon Caton, Kyle Chard, Christof Weinhardt:
Co-operative Infrastructures: An Economic Model for Providing Infrastructures for Social Cloud Computing. HICSS 2013: 729-738 - 2012
- [c14]Ryan Chard, Kris Bubendorfer, Kyle Chard:
Experiences in the design and implementation of a Social Cloud for Volunteer Computing. eScience 2012: 1-8 - [c13]Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz:
A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture. SC Companion 2012: 1058-1067 - [c12]Bo Liu, Borja Sotomayor, Ravi K. Madduri, Kyle Chard, Ian T. Foster:
Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision. SC Companion 2012: 1087-1095 - 2011
- [c11]Kyle Chard, Michael Russell, Yves A. Lussier, Eneida A. Mendonça, Jonathan C. Silverstein:
Scalability and cost of a cloud-based approach to medical NLP. CBMS 2011: 1-6 - [c10]Ashfag M. Thaufeeg, Kris Bubendorfer, Kyle Chard:
Collaborative eResearch in a Social Cloud. eScience 2011: 224-231 - [c9]John Koshy, Kris Bubendorfer, Kyle Chard:
A Social Cloud for Public eResearch. eScience 2011: 363-370 - 2010
- [c8]Kyle Chard, Simon Caton, Omer F. Rana, Kris Bubendorfer:
Social Cloud: Cloud Computing in Social Networks. IEEE CLOUD 2010: 99-106 - [c7]Kyle Chard, Kris Bubendorfer, Peter Komisarczuk:
High occupancy resource allocation for grid and cloud systems, a study with DRIVE. HPDC 2010: 73-84 - 2009
- [c6]Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madduri, Ian T. Foster:
Wrap Scientific Applications as WSRF Grid Services Using gRAVI. ICWS 2009: 83-90 - [c5]Wei Tan, Kyle Chard, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster, Stian Soiland-Reyes, Carole A. Goble:
Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach. ICWS 2009: 413-420 - 2008
- [c4]Kyle Chard, Kris Bubendorfer:
A Distributed Economic Meta-scheduler for the Grid. CCGRID 2008: 542-547 - [c3]Kyle Chard, Cem Onyuksel, Wei Tan, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster:
Build Grid Enabled Scientific Workflows Using gRAVI and Taverna. eScience 2008: 614-619 - 2005
- [c2]Kyle Chard, Peter Komisarczuk, Kris Bubendorfer, Ankur Desai:
Fine Grained Resource Reservation and Management in Grid Economics. GCA 2005: 31-38 - [c1]Kris Bubendorfer, Peter Komisarczuk, Kyle Chard:
Efficient dynamic resource specifications. Mobile Data Management 2005: 281-285
Editorship
- 2023
- [e8]Ali Raza Butt, Ningfang Mi, Kyle Chard:
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2023, Orlando, FL, USA, June 16-23, 2023. ACM 2023 [contents] - [e7]Robert Schuler, Carl Kesselman, Kyle Chard, Alejandro Bugacov:
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023, Los Angeles, CA, USA, July 10-12, 2023. ACM 2023 [contents] - 2022
- [e6]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9311-9 [contents] - 2021
- [e5]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, Virtual Event, Sweden, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8388-2 [contents] - 2016
- [e4]Kyle Chard, Alexandru Costan, Bogdan Nicolae, Dongfang Zhao:
Proceedings of the ACM 7th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2016, Kyoto, Japan, June 1, 2016. ACM 2016, ISBN 978-1-4503-4353-4 [contents] - 2015
- [e3]Kyle Chard, Alexandru Costan, Bogdan Nicolae, Lavanya Ramakrishnan:
Proceedings of the 6th Workshop on Scientific Cloud Computing, ScienceCloud 2015, Portland, Oregon, USA, June 16, 2015. ACM 2015, ISBN 978-1-4503-3570-6 [contents] - 2014
- [e2]Ioan Raicu, Kate Keahey, Kyle Chard, Bogdan Nicolae:
ScienceCloud'14, Proceedings of the 2014 ACM HPDC International Workshop on Scientific Cloud Computing, Vancouver, BC, Canada, June 23-27, 2014. ACM 2014, ISBN 978-1-4503-2911-8 [contents] - 2013
- [e1]Kyle Chard:
ScienceCloud'13, Proceedings of the 4th ACM HPDC Workshop on Scientific Cloud Computing, New York, NY, USA, June 17, 2013. ACM 2013, ISBN 978-1-4503-1979-9 [contents]
Data and Artifacts
- 2023
- [d1]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 (Container Image Data). Zenodo, 2023
Informal and Other Publications
- 2024
- [i68]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 abs/2401.02524 (2024) - [i67]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 abs/2402.03480 (2024) - [i66]Zhi Hong, Kyle Chard, Ian T. Foster:
Combining Language and Graph Models for Semi-structured Information Extraction on the Web. CoRR abs/2402.14129 (2024) - [i65]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 abs/2403.06077 (2024) - [i64]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR abs/2403.19257 (2024) - [i63]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 abs/2404.02163 (2024) - [i62]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 abs/2404.19717 (2024) - [i61]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 abs/2406.17710 (2024) - [i60]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 abs/2407.01764 (2024) - [i59]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024) - [i58]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 abs/2407.16646 (2024) - [i57]J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR abs/2408.07236 (2024) - [i56]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR abs/2408.14434 (2024) - [i55]Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard:
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR abs/2409.16495 (2024) - 2023
- [i54]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 abs/2302.06751 (2023) - [i53]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 abs/2303.08803 (2023) - [i52]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.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i51]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. CoRR abs/2304.14244 (2023) - [i50]Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan:
Hierarchical and Decentralised Federated Learning. CoRR abs/2304.14982 (2023) - [i49]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 abs/2305.03842 (2023) - [i48]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 abs/2305.09593 (2023) - [i47]Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR abs/2307.05416 (2023) - [i46]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 abs/2307.07895 (2023) - [i45]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 abs/2307.11060 (2023) - [i44]Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster:
nelli: a lightweight frontend for MLIR. CoRR abs/2307.16080 (2023) - [i43]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 abs/2308.04602 (2023) - [i42]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 abs/2308.09793 (2023) - [i41]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 abs/2308.14658 (2023) - [i40]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 abs/2309.05605 (2023) - [i39]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 abs/2310.16270 (2023) - 2022
- [i38]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 abs/2201.07435 (2022) - [i37]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:
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i36]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 abs/2205.01527 (2022) - [i35]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 abs/2205.11342 (2022) - [i34]Nikil Ravi, Pranshu Chaturvedi, Eliu 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 abs/2207.00611 (2022) - [i33]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 abs/2208.09513 (2022) - [i32]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 abs/2209.11631 (2022) - 2021
- [i31]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 abs/2101.04617 (2021) - [i30]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:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i29]Aymen Alsaadi, André Merzky, Kyle Chard, Shantenu Jha, Matteo Turilli:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. CoRR abs/2105.13185 (2021) - [i28]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:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i27]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 abs/2107.00417 (2021) - [i26]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 abs/2107.01739 (2021) - [i25]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:
ExaWorks: Workflows for Exascale. CoRR abs/2108.13521 (2021) - [i24]A. S. Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. CoRR abs/2109.12060 (2021) - [i23]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:
A Community Roadmap for Scientific Workflows Research and Development. CoRR abs/2110.02168 (2021) - [i22]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. CoRR abs/2110.02827 (2021) - 2020
- [i21]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. CoRR abs/2005.04215 (2020) - [i20]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:
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform. CoRR abs/2005.06087 (2020) - [i19]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:
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. CoRR abs/2006.02431 (2020) - [i18]Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. CoRR abs/2009.00035 (2020) - [i17]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020) - [i16]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:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. CoRR abs/2010.08486 (2020) - 2019
- [i15]Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus D. Saint, Rick Wagner:
Big Data Bags: A Scalable Packaging Format for Science. RO 2019 - [i14]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, Eliu 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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i13]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:
Cloud Futurology. CoRR abs/1902.03656 (2019) - [i12]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:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019) - [i11]Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. CoRR abs/1908.04907 (2019) - [i10]Eliu 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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [i9]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:
Reproducible big data science: A case study in continuous FAIRness. RO 2018 - [i8]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:
Computing Environments for Reproducibility: Capturing the "Whole Tale". CoRR abs/1805.00400 (2018) - [i7]Luann Jung, Brendan Whitaker, Kyle Chard, Aaron J. Elmore:
Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories. CoRR abs/1810.05784 (2018) - [i6]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. CoRR abs/1811.11213 (2018) - 2017
- [i5]Yadu N. Babuji, Kyle Chard, Eamon Duede:
Enabling Interactive Analytics of Secure Data using Cloud Kotta. CoRR abs/1705.00070 (2017) - [i4]Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams:
The Modern Research Data Portal: A design pattern for networked, data-intensive science. PeerJ Prepr. 5: e3194 (2017) - 2016
- [i3]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
A Secure Data Enclave and Analytics Platform for Social Scientists. CoRR abs/1610.03105 (2016) - [i2]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
Cloud Kotta: Enabling Secure and Scalable Data Analytics in the Cloud. CoRR abs/1610.03108 (2016) - [i1]Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk:
Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments. CoRR abs/1610.09958 (2016)
Coauthor Index
[j37] [j27] [j22] [j21] [c138] [c136] [c133] [c121] [c120] [c105] [c99] [c95] [c90] [c89] [c88] [c86] [c80] [c78] [c71] [c64] [c62] [c61] [c59] [c57] [c53] [c46] [c39] [c35] [e6] [e5] [i64] [i61] [i56] [i55] [i53] [i51] [i45] [i36] [i32] [i30] [i28] [i25] [i24] [i22] [i21] [i19] [i17] [i12] [i11] [i6] [i5] [i3] [i2]
[j37] [j32] [j31] [j30] [j27] [j26] [j22] [j21] [j16] [j15] [j9] [c144] [c143] [c141] [c140] [c138] [c134] [c133] [c131] [c121] [c117] [c112] [c111] [c110] [c108] [c104] [c102] [c97] [c95] [c92] [c90] [c89] [c86] [c78] [c76] [c75] [c71] [c70] [c65] [c64] [c62] [c61] [c58] [c57] [c56] [c54] [c51] [c50] [c47] [c45] [c44] [c43] [c42] [c37] [c29] [c27] [c14] [i67] [i65] [i64] [i59] [i56] [i55] [i54] [i53] [i44] [i37] [i34] [i33] [i32] [i22] [i21] [i19] [i17] [i16] [i12] [i11] [i6]
[j37] [j36] [j34] [j32] [j31] [j30] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j17] [j16] [j15] [j13] [j10] [j9] [j8] [j7] [j6] [j5] [c144] [c143] [c142] [c141] [c140] [c138] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c119] [c118] [c117] [c115] [c113] [c112] [c111] [c110] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c100] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c86] [c85] [c84] [c78] [c77] [c76] [c75] [c74] [c72] [c71] [c70] [c69] [c68] [c65] [c64] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c51] [c50] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c21] [c20] [c19] [c18] [c17] [c12] [c6] [c5] [c3] [e6] [e5] [d1] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i57] [i56] [i55] [i54] [i53] [i50] [i49] [i48] [i47] [i46] [i44] [i42] [i40] [i39] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i26] [i22] [i21] [i19] [i18] [i17] [i16] [i15] [i12] [i11] [i9] [i6] [i4]
Mihael Hategan
aka: Mihael Hategan-Marandiuc
aka: Mihael Hategan-Marandiuc
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