Patricia Grubel
Orcid: 0000-0002-5156-3132
According to our database1,
Patricia Grubel
authored at least 16 papers
between 2015 and 2024.
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Bibliography
2024
An HPC-Container Based Continuous Integration Tool for Detecting Scaling and Performance Issues in HPC Applications.
IEEE Trans. Serv. Comput., 2024
A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability.
Comput. Sci. Eng., 2024
Building and Sustaining a Community Resource for Best Practices in Scientific Software: The Story of BSSw.io.
Comput. Sci. Eng., 2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
CoRR, 2024
2023
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.
CoRR, 2023
2021
BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
2020
2019
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars.
Int. J. High Perform. Comput. Appl., 2019
2018
A performance study of the time-varying cache behavior: a study on APEX, Mantevo, NAS, and PARSEC.
J. Supercomput., 2018
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
The time-varying nature of cache utilization: A case study on the Mantevo and Apex benchmarks.
Proceedings of the 2017 IEEE SmartWorld, 2017
2016
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016
Using Intrinsic Performance Counters to Assess Efficiency in Task-Based Parallel Applications.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015