Valérie Hayot-Sasson

According to our database, Valérie Hayot-Sasson authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

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, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan

Int. J. High Perform. Comput. Appl., November, 2023

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

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 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

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

Proceedings of the International Conference for High Performance Computing, 2023

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery.

Ashka Shah, Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens

Proceedings of the Platform for Advanced Scientific Computing Conference, 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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Lazy Python Dependency Management in Large-Scale Systems.

Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

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

Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard

CoRR, 2022

2021

The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows.

Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem

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.

Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Performance benefits of Intel^® Optane™ DC persistent memory for the parallel processing of large neuroimaging data.

Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

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, Johan D. Carlin, Gregory Kiar, Kirstie J. Whitaker, Elizabeth Dupre, Adina S. Wagner, Lee S. Tirrell, Mainak Jas, Michael Hanke, Russell A. Poldrack, Oscar Esteban, Stefan Appelhoff, Chris Holdgraf, Isla Staden, Bertrand Thirion, Dave F. Kleinschmidt, John Lee, Matteo di Castello, Michael Notter, Ross Blair

J. Open Source Softw., 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

A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines.

Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard

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.

Valérie Hayot-Sasson, Tristan Glatard

Proceedings of the 15th International Conference on eScience, 2019

Performance Evaluation of Big Data Processing Strategies for Neuroimaging.

Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

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, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans

CoRR, 2017

Sequential algorithms to split and merge ultra-high resolution 3D images.

Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017