Valerie Hayot
Valerie Hayot
Verified email at concordia.ca
Title
Cited by
Cited by
Year
Boutiques: a flexible framework to integrate command-line applications in computing platforms
T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ...
GigaScience 7 (5), giy016, 2018
232018
PyBIDS: Python tools for BIDS datasets
T Yarkoni, CJ Markiewicz, A de la Vega, KJ Gorgolewski, T Salo, ...
Journal of open source software 4 (40), 2019
102019
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
72021
Boutiques: a flexible framework for automated application integration in computing platforms
T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ...
arXiv preprint arXiv:1711.09713, 2017
72017
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
M Dugré, V Hayot-Sasson, T Glatard
2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 40-49, 2019
52019
Sequential algorithms to split and merge ultra-high resolution 3D images
V Hayot-Sasson, Y Gao, Y Yan, T Glatard
2017 IEEE International Conference on Big Data (Big Data), 415-424, 2017
32017
Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data
V Hayot-Sasson, ST Brown, T Glatard
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
22020
Performance Evaluation of Big Data Processing Strategies for Neuroimaging
V Hayot-Sasson, ST Brown, T Glatard
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019
12019
Towards easy and efficient processing of ultra-high resolution brain images
V Hayot-Sasson
Concordia University, 2017
12017
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
V Hayot-Sasson, T Glatard, A Rokem
arXiv preprint arXiv:2108.10496, 2021
2021
Modeling the Linux page cache for accurate simulation of data-intensive applications
HD Do, V Hayot-Sasson, RF da Silva, C Steele, H Casanova, T Glatard
arXiv preprint arXiv:2101.01335, 2021
2021
Performance benefits of Intel (R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
V Hayot-Sasson, ST Brown, T Glatard
arXiv preprint arXiv:1912.11794, 2019
2019
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
V Hayot-Sasson, T Glatard
2019 15th International Conference on eScience (eScience), 146-155, 2019
2019
Towards easy and efficient processing of large brain imagery data
V Hayot-Sasson, LB Lewis, AC Evans, T Glatard
4 th Annual PERFORM Centre Research Conference, 49, 2017
2017
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