Valérie Hayot-Sasson

Orcid: 0000-0002-4830-4535

According to our database1, Valérie Hayot-Sasson authored at least 61 papers between 2017 and 2024.

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Bibliography

2024
Accelerating Python Applications with Dask and ProxyStore.
CoRR, 2024

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR, 2024

Employing Artificial Intelligence to Steer Exascale Workflows with Colmena.
CoRR, 2024

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
CoRR, 2024

Object Proxy Patterns for Accelerating Distributed Applications.
CoRR, 2024

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.
CoRR, 2024

Hierarchical storage management in user space for neuroimaging applications.
CoRR, 2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR, 2024

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

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

2023
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.
Int. J. High Perform. Comput. Appl., November, 2023






DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging.
Concurr. Comput. Pract. Exp., 2023

Accelerating Communications in Federated Applications with Transparent Object Proxies.
Proceedings of the International Conference for High Performance Computing, 2023

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Lazy Python Dependency Management in Large-Scale Systems.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022






Sea: A lightweight data-placement library for Big Data scientific computing.
CoRR, 2022

2021




The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Modeling the Linux page cache for accurate simulation of data-intensive applications.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020







Performance benefits of Intel<sup>®</sup> Optane™ DC persistent memory for the parallel processing of large neuroimaging data.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019










PyBIDS: Python tools for BIDS datasets.
J. Open Source Softw., 2019

Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data.
CoRR, 2019

A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters.
Proceedings of the 15th International Conference on eScience, 2019

Performance Evaluation of Big Data Processing Strategies for Neuroimaging.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2017
Boutiques: a flexible framework for automated application integration in computing platforms.
CoRR, 2017

Sequential algorithms to split and merge ultra-high resolution 3D images.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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