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2020 – today
- 2022
[j23]Osama Almurshed
, Omer F. Rana, Kyle Chard:
Greedy Nominator Heuristic: Virtual function placement on fog resources. Concurr. Comput. Pract. Exp. 34(6) (2022)- [j22]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) - [c100]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - [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] - [i35]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) - [i34]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 abs/2204.05128 (2022) - [i33]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) - [i32]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) - 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) - [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: 13:1-13:14 - [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 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 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 - [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] - [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 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 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 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 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
- [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 - [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)
2010 – 2019
- 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) - [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 - [i15]Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus 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, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
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]E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (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) - [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 - [i9]Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis 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
- [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) - [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: 18:1-18:11 - [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]