Feng Li

Orcid: 0000-0002-8505-5208

Affiliations:
  • Indiana University - Purdue University, Department of Computer Science, Indianapolis, IN, USA (since 2015)


According to our database1, Feng Li authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Efficient in-situ workflow planning for geographically distributed heterogeneous environments.
Future Gener. Comput. Syst., December, 2023

INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022
CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
X-composer: enabling cross-environments in-situ workflows between HPC and cloud.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

Accelerating complex modeling workflows in CyberWater using on-demand HPC/Cloud resources.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations.
CoRR, 2020

2019
Building a scientific workflow framework to enable real-time machine learning and visualization.
Concurr. Comput. Pract. Exp., 2019

Userland CO-PAGER: boosting data-intensive applications with non-volatile memory, userspace paging.
Proceedings of the 3rd International Conference on High Performance Compilation, 2019

2018
Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2017
A Real-Time Machine Learning and Visualization Framework for Scientific Workflows.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017


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