Matthieu Dorier

Orcid: 0000-0001-9293-2021

According to our database1, Matthieu Dorier authored at least 47 papers between 2010 and 2024.

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Bibliography

2024
Extending the Mochi Methodology to Enable Dynamic HPC Data Services.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Towards <i>elastic</i> in situ analysis for high-performance computing simulations.
J. Parallel Distributed Comput., July, 2023

Adaptive elasticity policies for staging-based <i>in situ</i> visualization.
Future Gener. Comput. Syst., May, 2023

Mochi: A Case Study in Translational Computer Science for High-Performance Computing Data Management.
Comput. Sci. Eng., 2023

HEPnOS: a Specialized Data Service for High Energy Physics Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization.
Proceedings of the IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2022

Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
An Adaptive Elasticity Policy For Staging Based In-Situ Processing.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

SYMBIOMON: A High-Performance, Composable Monitoring Service.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
How fast can one resize a distributed file system?
J. Parallel Distributed Comput., 2020

Mochi: Composing Data Services for High-Performance Computing Environments.
J. Comput. Sci. Technol., 2020

A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows.
Future Gener. Comput. Syst., 2019

The challenges of elastic in situ analysis and visualization.
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019

Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems?
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge.
CoRR, 2018

Methodology for the Rapid Development of Scalable HPC Data Services.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

Pufferbench: Evaluating and Optimizing Malleability of Distributed Storage.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

2017
Supporting task-level fault-tolerance in HPC workflows by launching MPI jobs inside MPI jobs.
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, 2017

CoSS: proposing a contract-based storage system for HPC.
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

2016
Using Formal Grammars to Predict I/O Behaviors in HPC: The Omnisc'IO Approach.
IEEE Trans. Parallel Distributed Syst., 2016

Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations.
ACM Trans. Parallel Comput., 2016

On the energy footprint of I/O management in Exascale HPC systems.
Future Gener. Comput. Syst., 2016

Get out of the Way! Applying Compression to Internal Data Structures.
Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Leveraging burst buffer coordination to prevent I/O interference.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Evaluation of Topology-Aware Broadcast Algorithms for Dragonfly Networks.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
Lessons Learned from Building In Situ Coupling Frameworks.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

2014
Addressing the Challenges of I/O Variability in Post-Petascale HPC Simulations. (Relever les défis de la variabilité des E/S dans les simulations HPC post-petaflopiques).
PhD thesis, 2014

Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction.
Proceedings of the International Conference for High Performance Computing, 2014

CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

A performance and energy analysis of I/O management approaches for exascale systems.
Proceedings of the DIDC'14, 2014

2013
Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework.
Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

Efficient I/O using Dedicated Cores in Large-Scale HPC Simulations.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011
SRC: Damaris - using dedicated i/o cores for scalable post-petascale HPC simulations.
Proceedings of the 25th International Conference on Supercomputing, 2011, Tucson, AZ, USA, May 31, 2011

2010
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010


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