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Institute for Advanced Simulation (IAS)

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Program

Main Sessions: Rotunda, Jülich Supercomputing Centre, Bldg. 16.4

Day 1 (Monday, 27. January 2014)
09:00 - 09:15WelcomeAbigail Morrison
09:15 - 10:45HPC Hardware for Neuroscience
09:15 - 09:45An introduction to neuromorphic modelling on SpiNNaker: the PACMAN 103 tool-chainDave Lester
09:45 - 10:15Introduction to the massively parallel Blue Gene/Q architecture
Dirk Pleiterpdf
10:15 - 10:45The Hybrid Multiscale Facility operating systemChristoph Koke
10:45 - 11:15Coffee break
11:15 - 12:45Data management for HPC
11:15 - 11:45Understanding the memory hierarchy for better data managementFrancesc Altedpdf
11:45 - 12:15Neo: an object model for electrophysiology. Progress and future plansSamuel Garciapdf
12:15 - 12:45Using Blue Gene Active Storage for Neuroscience applications Dirk Pleiterpdf
12:45 - 14:00Lunch
Tutorials and Code Sprints (simultaneous sessions)
14:00 - 18:00Tutorial: Programming for SpiNNaker
Code Sprints
Day 2 (Tuesday, 28. January 2014)
09:00 - 10:30Neural simulators on HPC
09:00 - 09:30The NEST 4g kernel: highly scalable network simulation code from laptops to supercomputers Susanne Kunkelpdf
09:30 - 10:00Parallel NEURON idioms for information exchange during setup, random numbers, and debuggingMichael Hinespdf
10:00 - 10:30The MUSIC of the PyNNs: a friendlier interface for multi-simulator modellingAndrew Davisonpdf
10:30 - 11:00Coffee break
11:00- 12:30Neural modelling and simulation workflows
11:00 - 11:30Code generation in Brian 2: from mathematical model descriptions to executable codeMarcel Stimbergpdf
11:30 - 12:00Mozaik: Integrated workflows for spiking neuronal network simulationsJan Antolik
12:30 -14:00Lunch
Tutorials and Code Sprints (simultaneous sessions)
14:00 - 18:00a) Tutorial: Profiling for PythonYury V. Zaytsev
b) Tutorial: Profiling for C/C+Thorsten Hater
Code Sprints
19:00 - 22:30Banquet
Day 3 (Wednesday, 29. January 2014)
09:00 - 10:30High performance software for Neuroscience
09:00 - 09:30PyPy - A fast and compliant Python implementation - an introductionDavid Schneiderpdf
09:30 - 10:00Simple and hybrid parallelizations for GPU clusters in a nutshellAnna Westhoffpdf
10:00 - 10:30Efficient in-memory data analytics with Python & PandasYves Hilpischlink
10:30 - 11:00Coffee break, incl. photo session
Contributed talks
11:00 - 11:30Sphinx: The documentation generator for PythonRajalekshmi Deepupdf
11:30 - 12:00The Open Source Brain Initiative: enabling sharing & collaborative development of models in computational neuroscience Padraig Gleesonpdf
12:00 - 12:15Final remarksAbigail Morrison
12:15 -14:00Lunch
14:00 - 14:45HPC Tour
Tutorials and Code Sprints (simultaneous sessions)
15:00 - 18:00Tutorial: PyPyDavid SchneiderRotunda
Code Sprints

N 203, Bldg. 16.4;

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