Stephen Herbein

Orcid: 0000-0003-0141-0653

According to our database1, Stephen Herbein authored at least 28 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022
AI4IO: A suite of AI-based tools for IO-aware scheduling.
Int. J. High Perform. Comput. Appl., 2022

An analytical performance model of generalized hierarchical scheduling.
Int. J. High Perform. Comput. Appl., 2022

LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Scalable Composition and Analysis Techniques for Massive Scientific Workflows.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
A Dynamic, Hierarchical Resource Model for Converged Computing.
CoRR, 2021

ExaWorks: Workflows for Exascale.
CoRR, 2021

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

Towards Standard Kubernetes Scheduling Interfaces for Converged Computing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Generalizable coordination of large multiscale workflows: challenges and learnings at scale.
Proceedings of the International Conference for High Performance Computing, 2021

It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler.
Proceedings of the 3rd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2021

2020
Flux: Overcoming scheduling challenges for exascale workflows.
Future Gener. Comput. Syst., 2020

CanarIO: Sounding the Alarm on IO-Related Performance Degradation.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications.
Int. J. High Perform. Comput. Netw., 2019

2018
Evaluation of an interference-free node allocation policy on fat-tree clusters.
Proceedings of the International Conference for High Performance Computing, 2018

PRIONN: Predicting Runtime and IO using Neural Networks.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2016
Performance characterization of irregular I/O at the extreme scale.
Parallel Comput., 2016

Resource Management for Running HPC Applications in Container Clouds.
Proceedings of the High Performance Computing - 31st International Conference, 2016

A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems.
Proceedings of the Third Workshop on Accelerator Programming Using Directives, 2016

Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

Machine Learning Predictions of Runtime and IO Traffic on High-End Clusters.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
A Two-Tiered Approach to I/O Quality of Service in Docker Containers.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Pursuing Coordinated Trajectory Progression and Efficient Resource Utilization of GPU-Enabled Molecular Dynamics Simulations.
IEEE Des. Test, 2014

Benchmarking the Performance of Scientific Applications with Irregular I/O at the Extreme Scale.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-End Clusters.
Proceedings of the 9th IEEE International Conference on eScience, 2013

Performance Impact of I/O on QMCPack Simulations at the Petascale and Beyond.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013


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