Patricia Grubel

Orcid: 0000-0002-5156-3132

According to our database1, Patricia Grubel authored at least 13 papers between 2015 and 2024.

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

Timeline

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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

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

BEE Orchestrator: Running Complex Scientific Workflows on Multiple Systems.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
BeeSwarm: Enabling Scalability Tests in Continuous Integration.
CoRR, 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
A Massively Parallel Distributed N-body Application Implemented with HPX.
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
The Performance Implication of Task Size for Applications on the HPX Runtime System.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015


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