38 citations · 73 across the 31 of their papers we have counts for
7 papers · 1 filter
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
Valerie Hayot-Sasson, Shawn T Brown, Tristan Glatard
Open-access neuroimaging datasets have reached petabyte scale, and continue to grow. The ability to leverage the entirety of these datasets is limited to a restricted number of lab…
Comparing Perturbation Models for Evaluating Stability of Neuroimaging Pipelines
Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux +4
A lack of software reproducibility has become increasingly apparent in the last several years, calling into question the validity of scientific findings affected by published tools…
A Conceptual Marketplace Model for IoT Generated Personal Data
Victor Molina, Marta Kersten-Oertel, Tristan Glatard
We propose a decentralized conceptual marketplace model for IoT generated personal data. Our model is based on a thorough analysis of personal data in a marketplace context, with s…
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
In the past few years, neuroimaging has entered the Big Data era due to the joint increase in image resolution, data sharing, and study sizes. However, no particular Big Data engin…
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
Valerie Hayot-Sasson, Tristan Glatard
Big Data has become prominent throughout many scientific fields and, as a result, scientific communities have sought out Big Data frameworks to accelerate the processing of their i…
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Antoine Hébert, Timothée Guédon, Tristan Glatard +1
Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world. In Quebec only, in 2018, road accidents are…