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Yadu N. Babuji
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2020 – today
- 2024
- [j5]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) - [c27]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 - [c26]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 - [c25]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 - [i25]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) - [i24]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) - [i23]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) - [i22]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
- [c24]Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari:
ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. HPDC 2023: 211-224 - [c23]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 - [c22]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 - [i21]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) - [i20]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) - [i19]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) - 2022
- [j4]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) - [j3]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) - [c21]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - [e2]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] - [i18]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) - [i17]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
- [j2]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) - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [e1]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] - [i16]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) - [i15]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) - [i14]Austin Clyde, Thomas S. Brettin, Alexander Partin, Hyun Seung Yoo, Yadu N. Babuji, Ben Blaiszik, André Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens:
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening. CoRR abs/2106.07036 (2021) - [i13]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) - [i12]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) - [i11]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
- [c13]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 - [i10]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) - [i9]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) - [i8]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)
2010 – 2019
- 2019
- [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [i7]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) - [i6]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) - 2018
- [c6]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 - [i5]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
- [c5]Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha:
Evaluating Distributed Execution of Workloads. eScience 2017: 276-285 - [c4]Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster:
Safe Collections and Stewardship on Cloud Kotta. eScience 2017: 498-503 - [c3]Katy Börner, Valentin Pentchev, Matthew Hutchinson, James Pringle, Jason Rollins, Yadu N. Babuji, Eamon Duede:
Web of Science™ as a Research Dataset. ISSI 2017: 1788-1790 - [i4]Yadu N. Babuji, Kyle Chard, Eamon Duede:
Enabling Interactive Analytics of Secure Data using Cloud Kotta. CoRR abs/1705.00070 (2017) - 2016
- [j1]Zhao Zhang, Daniel S. Katz, André Merzky, Matteo Turilli, Shantenu Jha, Yadu Nand Babuji:
Application Skeleton: Generating Synthetic Applications for Infrastructure Research. J. Open Source Softw. 1(1): 17 (2016) - [c2]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 - [c1]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
A secure data enclave and analytics platform for social scientists. eScience 2016: 337-342 - [i3]Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha:
Analysis of Distributed Execution of Workloads. CoRR abs/1605.09513 (2016) - [i2]Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede:
A Secure Data Enclave and Analytics Platform for Social Scientists. CoRR abs/1610.03105 (2016) - [i1]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)
Coauthor Index
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last updated on 2024-10-17 20:28 CEST by the dblp team
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