Graphics processing units (GPUs) offer a low-cost approach to parallel high-performance computing. Neuronal simulations can be parallelized efficiently and are particularly well suited for implementation on GPUs. There is also great potential for GPU-based high-throughput analysis of neuronal data. The field is progressing at rapid pace, and has reached a point where it may strongly benefit from some kind of convergence between the different approaches.
To facilitate communication and foster collaboration in the field, the German INCF Node (G-Node) organizes a one-day symposium on neuronal GPU computing with an adjoint two-day developer workshop.
Invited Speakers (preliminary):
Romain Brette (École Normale Supérieure, Paris)
Andreas Fidjeland (Imperial College, London)
Dan Goodman (École Normale Supérieure, Paris)
Thomas Nowotny (University of Sussex, Brighton-Falmer)
Pierre Yger (Imperial College, London)
For further information please visit https://portal.g-node.org/gpu-workshop-2012/
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