Keyword search (4,164 papers available)

"Brown ST" Authored Publications:

Title Authors PubMed ID
1 Data and Tools Integration in the Canadian Open Neuroscience Platform Poline JB; Das S; Glatard T; Madjar C; Dickie EW; Lecours X; Beaudry T; Beck N; Behan B; Brown ST; Bujold D; Beauvais M; Caron B; Czech C; Dharsee M; Dugré M; Evans K; Gee T; Ippoliti G; Kiar G; Knoppers BM; Kuehn T; Le D; Lo D; Mazaheri M; MacFarlane D; Muja N; O' Brien EA; O' Callaghan L; Paiva S; Park P; Quesnel D; Rabelais H; Rioux P; Legault M; Tremblay-Mercier J; Rotenberg D; Stone J; Strauss T; Zaytseva K; Zhou J; Duchesne S; Khan AR; Hill S; Evans AC; 37024500
ENCS
2 Comparing perturbation models for evaluating stability of neuroimaging pipelines. Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T 32831546
IMAGING
3 Boutiques: a flexible framework to integrate command-line applications in computing platforms. 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 G, Girard P, Gorgolewski KJ, Guttmann CRG, Hayot-Sasson V, Quirion PO, Rioux P, Rousseau MÉ, Evans AC 29718199
ENCS
4 A Serverless Tool for Platform Agnostic Computational Experiment Management. Kiar G, Brown ST, Glatard T, Evans AC 30890927
ENCS

 

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
Publication:
Keywords:
PMID:30890927 Category:Front Neuroinform Date Added:2019-06-04
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]




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