Valérie Hayot-Sasson

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Scientific Computing

Top Venues

Publications

Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) (2024)
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR (2024)
Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian Foster
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR (2024)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster
Object Proxy Patterns for Accelerating Distributed Applications. CoRR (2024)
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR (2024)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging. CoRR (2024)
Valérie Hayot-Sasson, Tristan Glatard
Hierarchical storage management in user space for neuroimaging applications. CoRR (2024)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging. Concurr. Comput. Pract. Exp. 35 (21) (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR (2023)
Ashka Shah, Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery. PASC (2023)
Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster
Lazy Python Dependency Management in Large-Scale Systems. e-Science (2023)
Ashka Shah, Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery. CoRR (2023)
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
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC (2023)
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
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops (2023)
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
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
Sea: A lightweight data-placement library for Big Data scientific computing. CoRR (2022)
Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard
Modeling the Linux page cache for accurate simulation of data-intensive applications. CLUSTER (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR (2021)
Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard
Modeling the Linux page cache for accurate simulation of data-intensive applications. CoRR (2021)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Optane™ DC persistent memory for the parallel processing of large neuroimaging data. CCGRID (2020)
Valérie Hayot-Sasson, Tristan Glatard
Evaluation of pilot jobs for Apache Spark applications on HPC clusters. CoRR (2019)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines. CoRR (2019)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. WORKS@SC (2019)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CCGRID (2019)
Valérie Hayot-Sasson, Tristan Glatard
Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters. eScience (2019)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data. CoRR (2019)
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 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
PyBIDS: Python tools for BIDS datasets. J. Open Source Softw. 4 (40) (2019)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CoRR (2018)
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
Boutiques: a flexible framework for automated application integration in computing platforms. CoRR (2017)
Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard
Sequential algorithms to split and merge ultra-high resolution 3D images. IEEE BigData (2017)