Yadu N. Babuji

Orcid: 0000-0002-9162-6003

According to our database1, Yadu N. Babuji authored at least 47 papers between 2016 and 2024.

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Bibliography

2024
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst., 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR, 2024

Employing Artificial Intelligence to Steer Exascale Workflows with Colmena.
CoRR, 2024

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.
CoRR, 2024

Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023
The Changing Role of RSEs over the Lifetime of Parsl.
CoRR, 2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022
$f$funcX: Federated Function as a Service for Science.
IEEE Trans. Parallel Distributed Syst., 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.
CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.
CoRR, 2022

HiPS2022: The 2nd Workshop on High Performance Serverless Computing.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021
DLHub: Simplifying publication, discovery, and use of machine learning models in science.
J. Parallel Distributed Comput., 2021

ExaWorks: Workflows for Exascale.
CoRR, 2021

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.
CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021

ExaWorks: Workflows for Exascale.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021


Extreme Scale Survey Simulation with Python Workflows.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Federated Function as a Service for eScience.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.
CoRR, 2020

funcX: A Federated Function Serving Fabric for Science.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019
Serverless Supercomputing: High Performance Function as a Service for Science.
CoRR, 2019

Publishing and Serving Machine Learning Models with DLHub.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Scalable Parallel Programming in Python with Parsl.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Serverless Workflows for Indexing Large Scientific Data.
Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Parsl: Pervasive Parallel Programming in Python.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018
Parsl: Scalable Parallel Scripting in Python.
Proceedings of the 10th International Workshop on Science Gateways, 2018

2017
Enabling Interactive Analytics of Secure Data using Cloud Kotta.
CoRR, 2017

Web of Science™ as a Research Dataset.
Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

Evaluating Distributed Execution of Workloads.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Safe Collections and Stewardship on Cloud Kotta.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Application Skeleton: Generating Synthetic Applications for Infrastructure Research.
J. Open Source Softw., 2016

Analysis of Distributed Execution of Workloads.
CoRR, 2016

A secure data enclave and analytics platform for social scientists.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

Cloud Kotta: Enabling secure and scalable data analytics in the cloud.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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