Locality-Aware Scheduling of Independent Tasks for Runtime Systems. - Maxime Gonthier; Loris Marchal; Samuel Thibault (Euro-Par Workshops, 2021)

Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems. - Maxime Gonthier; Loris Marchal; Samuel Thibault (IPDPS, 2022)

Scheduling Under Memory Constraint in Task-based Runtime Systems. (Ordonnancement sous contrainte mémoire dans un modèle de programmation à base de tâches). - Maxime Gonthier (2023)

Taming data locality for task scheduling under memory constraint in runtime systems. - Maxime Gonthier; Loris Marchal; Samuel Thibault (Future Gener. Comput. Syst., 2023)

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. - André Bauer 001; Maxime Gonthier; Haochen Pan; Ryan Chard; Daniel Grzenda; Martin Straesser; J. Gregory Pauloski; Alok Kamatar; Matt Baughman; Nathaniel Hudson; Ian T. Foster; Kyle Chard (e-Science, 2024)

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. - Bogdan Nicolae; Justin M. Wozniak; Tekin Bicer; Hai Nguyen; Parth Patel; Haochen Pan; Amal Gueroudji; Maxime Gonthier; Valérie Hayot-Sasson; Eliu A. Huerta; Kyle Chard; Ryan Chard; et al. (e-Science, 2024)

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. - J. Gregory Pauloski; Valérie Hayot-Sasson; Maxime Gonthier; Nathaniel Hudson; Haochen Pan; Sicheng Zhou; Ian T. Foster; Kyle Chard (e-Science, 2024)

Data-Driven Locality-Aware Batch Scheduling. - Maxime Gonthier; Elisabeth Larsson; Loris Marchal; Carl Nettelblad; Samuel Thibault (IPDPS (Workshops), 2024)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. - Haochen Pan; Ryan Chard; Sicheng Zhou; Alok Kamatar; Rafael Vescovi; Valérie Hayot-Sasson; André Bauer 001; Maxime Gonthier; Kyle Chard; Ian T. Foster (SC Workshops, 2024)

Optimizing Fine-Grained Parallelism Through Dynamic Load Balancing on Multi-Socket Many-Core Systems. - Wenyi Wang; Maxime Gonthier; Poornima Nookala; Haochen Pan; Ian T. Foster; Ioan Raicu; Kyle Chard (IPDPS, 2025)

Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. - Alok Kamatar; Maxime Gonthier; Valérie Hayot-Sasson; André Bauer 001; Marcin Copik; Torsten Hoefler; Raul Castro Fernandez; Kyle Chard; Ian T. Foster (CoRR, 2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. - Sicheng Zhou; Zhuozhao Li; Valérie Hayot-Sasson; Haochen Pan; Maxime Gonthier; J. Gregory Pauloski; Ryan Chard; Kyle Chard; Ian T. Foster (CoRR, 2025)

AERO: An autonomous platform for continuous research. - Valérie Hayot-Sasson; Abby Stevens; Nicholson T. Collier; Sudershan Sridhar; Kyle Conroy; J. Gregory Pauloski; Yadu N. Babuji; Maxime Gonthier; Nathaniel Hudson; Dante D. Sánchez-Gallegos; Ian T. Foster; Jonathan Ozik; et al. (CoRR, 2025)

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. - Maxime Gonthier; Dante D. Sánchez-Gallegos; Haochen Pan; Bogdan Nicolae; Sicheng Zhou; Hai Nguyen; Valérie Hayot-Sasson; J. Gregory Pauloski; Jesús Carretero 001; Kyle Chard; Ian T. Foster (CoRR, 2025)

DynoStore: A wide-area distribution system for the management of data over heterogeneous storage. - Dante D. Sánchez-Gallegos; José Luis González Compeán; Maxime Gonthier; Valérie Hayot-Sasson; J. Gregory Pauloski; Haochen Pan; Kyle Chard; Jesús Carretero 001; Ian T. Foster (CoRR, 2025)