Sequential algorithms to split and merge ultra-high resolution 3D images. - Valérie Hayot-Sasson; Yongping Gao; Yuhong Yan; Tristan Glatard (IEEE BigData, 2017)

Boutiques: a flexible framework for automated application integration in computing platforms. - Tristan Glatard; Gregory Kiar; Tristan Aumentado-Armstrong; Natacha Beck; Pierre Bellec; Rémi Bernard; Axel Bonnet; Sorina Camarasu-Pop; Frédéric Cervenansky; Samir Das; Rafael Ferreira da Silva; Guillaume Flandin; et al. (CoRR, 2017)

Performance Evaluation of Big Data Processing Strategies for Neuroimaging. - Valérie Hayot-Sasson; Shawn T. Brown; Tristan Glatard (CCGRID, 2019)

Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters. - Valérie Hayot-Sasson; Tristan Glatard (eScience, 2019)

A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. - Mathieu Dugré; Valérie Hayot-Sasson; Tristan Glatard (WORKS@SC, 2019)

Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data. - Valérie Hayot-Sasson; Shawn T. Brown; Tristan Glatard (CoRR, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (J. Open Source Softw., 2019)

bids-standard/pybids: 0.7.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Quinten McNamara; Krista Destasio; Yaroslav O. Halchenko; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.7.1. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.8.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.1. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.0. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

bids-standard/pybids: 0.9.3. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan M. Nielson; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Valérie Hayot-Sasson; Dylan Nielson; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Dmitry Petrov; Hans J. Johnson; Valérie Hayot-Sasson; et al. (Zenodo, 2019)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista Destasio; Jean-Baptiste Poline; Hans J. Johnson; Dmitry Petrov; Valérie Hayot-Sasson; et al. (Zenodo, 2019)

Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data. - Valérie Hayot-Sasson; Shawn T. Brown; Tristan Glatard (CCGRID, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Taylor Salo; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2020)

Modeling the Linux page cache for accurate simulation of data-intensive applications. - Hoang-Dung Do; Valérie Hayot-Sasson; Rafael Ferreira da Silva; Christopher Steele; Henri Casanova; Tristan Glatard (CLUSTER, 2021)

The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. - Valérie Hayot-Sasson; Tristan Glatard; Ariel Rokem (WORKS, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Dmitry Petrov; et al. (Zenodo, 2021)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2021)

Sea: A lightweight data-placement library for Big Data scientific computing. - Valérie Hayot-Sasson; Mathieu Dugré; Tristan Glatard (CoRR, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Oscar Esteban; Evgenii Kalenkovich; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Hans J. Johnson; Rémi Gau; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Rémi Gau; Hans J. Johnson; et al. (Zenodo, 2022)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; Rémi Gau; Hans J. Johnson; et al. (Zenodo, 2022)

Lazy Python Dependency Management in Large-Scale Systems. - Alok Kamatar; Mansi Sakarvadia; Valérie Hayot-Sasson; Kyle Chard; Ian T. Foster (e-Science, 2023)

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. - Logan T. Ward; J. Gregory Pauloski; Valérie Hayot-Sasson; Ryan Chard; Yadu N. Babuji; Ganesh Sivaraman; Sutanay Choudhury; Kyle Chard; Rajeev Thakur; Ian T. Foster (IPDPS Workshops, 2023)

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery. - Ashka Shah; Arvind Ramanathan; Valérie Hayot-Sasson; Rick Stevens (PASC, 2023)

Accelerating Communications in Federated Applications with Transparent Object Proxies. - J. Gregory Pauloski; Valérie Hayot-Sasson; Logan T. Ward; Nathaniel Hudson; Charlie Sabino; Matt Baughman; Kyle Chard; Ian T. Foster (SC, 2023)

Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging. - Mathieu Dugré; Valérie Hayot-Sasson; Tristan Glatard (Concurr. Comput. Pract. Exp., 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Quinten McNamara; Krista DeStasio; Rémi Gau; Jean-Baptiste Poline; Hans J. Johnson; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Oscar Esteban; Rémi Gau; Dimitri Papadopoulos Orfanos; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Rémi Gau; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2023)

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. - Maxim Zvyagin; Alexander Brace; Kyle Hippe; Yuntian Deng; Bin Zhang; Cindy Orozco Bohorquez; Austin Clyde; Bharat Kale; Danilo Perez-Rivera; Heng Ma; Carla M. Mann; Michael W. Irvin; et al. (Int. J. High Perform. Comput. Appl., 2023)

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)

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (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)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. - Jim Pruyne; Valérie Hayot-Sasson; Weijian Zheng; Ryan Chard; Justin M. Wozniak; Tekin Bicer; Kyle Chard; Ian T. Foster (CoRR, 2024)

Hierarchical storage management in user space for neuroimaging applications. - Valérie Hayot-Sasson; Tristan Glatard (CoRR, 2024)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. - Alok Kamatar; Valérie Hayot-Sasson; Yadu N. Babuji; André Bauer 001; Gourav Rattihalli; Ninad Hogade; Dejan S. Milojicic; Kyle Chard; Ian T. Foster (CoRR, 2024)

Accelerating Python Applications with Dask and ProxyStore. - J. Gregory Pauloski; Klaudiusz Rydzy; Valérie Hayot-Sasson; Ian T. Foster; Kyle Chard (CoRR, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Rémi Gau; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Yaroslav O. Halchenko; Rémi Gau; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 2024)

Employing artificial intelligence to steer exascale workflows with colmena. - Logan T. Ward; J. Gregory Pauloski; Valérie Hayot-Sasson; Yadu N. Babuji; Alexander Brace; Ryan Chard; Kyle Chard; Rajeev Thakur; Ian T. Foster (Int. J. High Perform. Comput. Appl., 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)

Object Proxy Patterns for Accelerating Distributed Applications. - J. Gregory Pauloski; Valérie Hayot-Sasson; Logan T. Ward; Alexander Brace; André Bauer 001; Kyle Chard; Ian T. Foster (IEEE Trans. Parallel Distributed Syst., 2025)

PyBIDS: Python tools for BIDS datasets. - Tal Yarkoni; Christopher J. Markiewicz; Alejandro de la Vega; Krzysztof J. Gorgolewski; Taylor Salo; Rémi Gau; Yaroslav O. Halchenko; Dimitri Papadopoulos Orfanos; Oscar Esteban; Quinten McNamara; Krista DeStasio; Jean-Baptiste Poline; et al. (Zenodo, 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)

Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. - Nathaniel Hudson; Valérie Hayot-Sasson; Yadu Nand Babuji; Matt Baughman; J. Gregory Pauloski; Ryan Chard; Ian T. Foster; Kyle Chard (Future Gener. Comput. Syst., 2026)