High Performance Computing Resources for
Parallel Simulations and Data Analysis: NSG and HPAC

Satellite Symposium, Society for Neuroscience Meeting

9:00 AM - 12:30 PM on Saturday, November 11, 2017
Location: downtown Washington DC site TBA

Organizers: A. Majumdar1, S. Sivagnanam1, K. Yoshimoto1,
T. Carnevale2, A. Peyser3

1San Diego Supercomputer Center, UC San Diego
2Neuroscience Department, Yale University
3Jülich Supercomputing Centre, Forschungszentrum Jülich


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.

The Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome 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. The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) 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. The workshop will combine hands-on instruction on how to use NSG with didactic presentations by NSG and HPAC developers and discussions with experienced users of these resources.


9:00 - 9:20 AM: The Neuroscience Gateway -- enabling large scale simulation and data processing for computational neuroscience
Amit Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto, San Diego Supercomputer Center, UCSD; Ted Carnevale, Department of Neuroscience, Yale University

9:20 - 9:30 AM: Computational Ecosystem for Neuroscience
Alexander Peyser, Institute for Advanced Simulation (IAS), Jülich Supercomputing Centre

9:30 - 10:00am: Modeling approach to whole brain dynamics and simulations with The Virtual Brain (TVB)
Andreas Spiegler, Institut de Neurosciences des Systèmes (INS), Aix-Marseille Université (AMU)

10:00 - 10:30am: Training modules for data intensive neuroscience learning and research
Satish Nair, Electrical and Computer Engineering, University of Missouri

10:30 - 10:40am: Break

10:40 - 11:10am: NEST, brain building blocks integrated with theory
Markus Diesmann, Institute of Neuroscience and Medicine Computational and Systems Neuroscience, Institute for Advanced Simulations & JARA Brain Institute, Research Center Jülich; Department of Psychiatry, Psychotherapy and Psychosomatics; Department of Physics, RWTH Aachen University

11:10 - 11:40am: Reconstruction of a full-scale model of the rat hippocampus CA1
Armando Romani, Blue Brain Project, EPFL

11:40am - 12:10pm: High performance computing for analysis and design of peripheral nerve stimulation
Nicole A. Pelot, Warren M. Grill, Department of Biomedical Engineering, Duke University

12:10 - 12:30pm: Lunch and end of workshop


Registration is limited to 25 individuals on a first-come, first-serve basis.

Registration Deadline
Friday, October 27, 2017
NO on-site registration will be accepted.

Tell me how to register!

Address other inquiries to:

Ted Carnevale [ted dot carnevale at yale dot edu]
Amit Majumdar [majumdar at sdsc dot edu]

High Performance Computing Resources for Parallel Simulations and Data Analysis: NSG and HPAC
Satellite Symposium, Society for Neuroscience Meeting
Saturday, November 11, 2017
Washington, DC