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Valérie Hayot-Sasson
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2020 – today
- 2024
- [c12]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: 1175-1177 - [i18]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 abs/2403.06077 (2024) - [i17]Valérie Hayot-Sasson, Tristan Glatard:
Hierarchical storage management in user space for neuroimaging applications. CoRR abs/2404.11556 (2024) - [i16]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging. CoRR abs/2406.01409 (2024) - [i15]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 abs/2406.17710 (2024) - [i14]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 abs/2407.01764 (2024) - [i13]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 abs/2407.11432 (2024) - 2023
- [j3]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) - [j2]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
:
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023) - [c11]Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster:
Lazy Python Dependency Management in Large-Scale Systems. e-Science 2023: 1-10 - [c10]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: 32-41 - [c9]Ashka Shah
, Arvind Ramanathan
, Valérie Hayot-Sasson
, Rick Stevens
:
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery. PASC 2023: 1:1-1:11 - [c8]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: 59:1-59:15 - [i12]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 abs/2303.08803 (2023) - [i11]Ashka Shah, Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens:
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery. CoRR abs/2304.03210 (2023) - [i10]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 abs/2305.09593 (2023) - [i9]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 abs/2310.04610 (2023) - 2022
- [i8]Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard:
Sea: A lightweight data-placement library for Big Data scientific computing. CoRR abs/2207.01737 (2022) - 2021
- [c7]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: 398-408 - [c6]Valérie Hayot-Sasson, Tristan Glatard
, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS 2021: 42-49 - [i7]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 abs/2101.01335 (2021) - [i6]Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR abs/2108.10496 (2021) - 2020
- [c5]Valérie Hayot-Sasson, Shawn T. Brown
, Tristan Glatard
:
Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data. CCGRID 2020: 509-518
2010 – 2019
- 2019
- [j1]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
:
PyBIDS: Python tools for BIDS datasets. J. Open Source Softw. 4(40): 1294 (2019) - [c4]Valérie Hayot-Sasson, Shawn T. Brown
, Tristan Glatard
:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CCGRID 2019: 449-458 - [c3]Valérie Hayot-Sasson, Tristan Glatard:
Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters. eScience 2019: 146-155 - [c2]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. WORKS@SC 2019: 40-49 - [i5]Valérie Hayot-Sasson, Tristan Glatard:
Evaluation of pilot jobs for Apache Spark applications on HPC clusters. CoRR abs/1905.12720 (2019) - [i4]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines. CoRR abs/1907.13030 (2019) - [i3]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 abs/1912.11794 (2019) - 2018
- [i2]Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CoRR abs/1812.06492 (2018) - 2017
- [c1]Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard:
Sequential algorithms to split and merge ultra-high resolution 3D images. IEEE BigData 2017: 415-424 - [i1]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 abs/1711.09713 (2017)
Coauthor Index
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last updated on 2024-08-27 22:54 CEST by the dblp team
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