2 citations · 2 across the 2 of their papers we have counts for
6 papers
Deploying large fixed file datasets with SquashFS and Singularity
Pierre Rioux, Gregory Kiar, Alexandre Hutton +2
Shared high-performance computing (HPC) platforms, such as those provided by XSEDE and Compute Canada, enable researchers to carry out large-scale computational experiments at a fr…
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…
Performance Evaluation of Big Data Processing Strategies for Neuroimaging
Valérie Hayot-Sasson, Shawn T Brown, Tristan Glatard
Neuroimaging datasets are rapidly growing in size as a result of advancements in image acquisition methods, open-science and data sharing. However, the adoption of Big Data process…
A Serverless Tool for Platform Agnostic Computational Experiment Management
Gregory Kiar, Shawn T Brown, Tristan Glatard +1
Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive…
Boutiques: a flexible framework for automated application integration in computing platforms
Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong +17
We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software co…