This title appears in the Scientific Report : 2016 
HPC in Neuroscience Satellite Workshop
Peyser, Alexander (Corresponding author)
Morrison, Abigail / Wachtler, Thomas
Jülich Supercomputing Center; JSC
Computational and Systems Neuroscience; INM-6
JARA - HPC; JARA-HPC
2016
Bernstein Conference 2016, Berlin (Germany), 2016-09-20 - 2016-09-21
Conference Presentation
W2/W3 Professorinnen Programm der Helmholtzgemeinschaft
Supercomputing and Modelling for the Human Brain
Computational Science and Mathematical Methods


Neuroscience is grappling with problems of increasing complexity andscale as exemplified by projects such as the Human Brian Project. Atthe same time, a new generation of exascale supercomputers is becomingavailable, combined with significant computational infrastructuredirected towards the neuroscientific community. Applications such ascomputationally intensive simulations and neuroinformatic analyses oflarge data sets were often originally designed for desktop PCs orsmall clusters. To tackle massive neuroscientific problems through theuse of High-Performance Computing (HPC) systems, theoretical tools needto be developed to efficiently explore these newly accessible scales,while software needs to be extended with new algorithms, libraries andtools.In this workshop, we would like to discuss neuroscientific problemsthat are becoming tractable due to the use of HPC, as well as issuesin HPC that are of particular concern to neuroscientists. We willcover simulators adapted to HPC from morphologically detailedsimulators like NEURON to neural mass models such as VirtualBrainmodels which have been scaled for extremely large scale parametersweeps, as well as analytical tools adapted to HPC and large scaleatlases such as BigBrain. Additionally, issues such as storage atscale and emerging architectures such as neuromorphic hardware will bediscussed.