[Comp-neuro] Big models and big data workshop at SFN 2019

Carnevale, Nicholas ted.carnevale at yale.edu
Thu Sep 5 08:09:51 CEST 2019


*NSG and HPAC – Large Scale Simulations and Data Processing*
****
**A workshop on big models and big data in neuroscience, Saturday, Oct. 
19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location.

*Summary*

This workshop is intended for neuroscientists who need to use high 
performance computing (HPC) resources for computationally intensive 
tasks such as large modeling projects or analysis of neuroimaging data. 
It will examine resources offered by the Neuroscience Gateway Portal 
(NSG https://www.nsgportal.org/) and The Human Brain Project's High 
Performance Analytics and Computing Platform (HPAC 
https://hbp-hpc-platform.fz-juelich.de/). The workshop will combine 
hands-on instruction on how to use NSG, didactic presentations by NSG 
and HPAC developers, and discussions with experienced users of these 
resources.

The registration deadline for this workshop is Friday, October 10, but 
you should sign up early because space is limited. See

https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html

for more information and a link to the registration form.

*Overview of NSG and HPAC*

NSG eliminates most administrative and technical barriers, providing 
free CPU time to users, and easy access to widely used software that 
currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, 
CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver 
(HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, 
NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, 
and the Virtual Personalized Multimodal Connection Pipeline. NSG's 
web-based interface simplifies the tasks of uploading models or data, 
specifying job parameters, monitoring job status, and storing and 
retrieving output data.

HPAC provides extensive HPC support for the HBP community. This includes 
developing and providing the hardware and software infrastructure 
required for large scale simulations, data management and analysis, 
visualization, and managing the complex workflows involved in performing 
these tasks.




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