Keyword search (3,448 papers available)


Comparing perturbation models for evaluating stability of neuroimaging pipelines.

Author(s): Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T

With an increase in awareness regarding a troubling lack of reproducibility in analytical software tools, the degree of validity in scientific derivatives and their downstream results has become unclear. The nature of reproducibility issues may vary across ...

Article GUID: 32831546
Boutiques: a flexible framework to integrate command-line applications in computing platforms.

Author(s): Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da...

Gigascience. 2018 05 01;7(5): Authors: Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da Silva R, Flandin...

Article GUID: 29718199
A Serverless Tool for Platform Agnostic Computational Experiment Management.

Author(s): Kiar G, Brown ST, Glatard T, Evans AC

Front Neuroinform. 2019;13:12 Authors: Kiar G, Brown ST, Glatard T, Evans AC

Article GUID: 30890927
Title:A Serverless Tool for Platform Agnostic Computational Experiment Management.
Authors:Kiar G,  Brown ST,  Glatard T,  Evans AC
Link:https://www.ncbi.nlm.nih.gov/pubmed/30890927?dopt=Abstract
Category:Front Neuroinform
PMID:30890927
Dept Affiliation: ENCS
1 Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
2 Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
3 Department of Computer Science, Concordia University, Montreal, QC, Canada.
4 Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.

Description:

A Serverless Tool for Platform Agnostic Computational Experiment Management.

Front Neuroinform. 2019;13:12

Authors: Kiar G, Brown ST, Glatard T, Evans AC

Abstract

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 tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been developed to ease this burden on scientists. While web-portals make resources widely accessible, data organizations such as the Brain Imaging Data Structure and tool description languages such as Boutiques provide researchers with a foothold to tackle these problems using their own datasets, pipelines, and environments. While these standards lower the barrier to adoption of HPC and cloud systems for neuroscience applications, they still require the consolidation of disparate domain-specific knowledge. We present Clowdr, a lightweight tool to launch experiments on HPC systems and clouds, record rich execution records, and enable the accessible sharing and re-launch of experimental summaries and results. Clowdr uniquely sits between web platforms and bare-metal applications for experiment management by preserving the flexibility of do-it-yourself solutions while providing a low barrier for developing, deploying and disseminating neuroscientific analysis.

PMID: 30890927 [PubMed]