|Name:||Real-Time Olivary Neuron Simulations On Dataflow Computing Machines|
|Time:||Wednesday, June 25, 2014
12:45 pm - 01:00 pm
CCL - Congress Center Leipzig
|Breaks:||01:00 pm - 02:15 pm Lunch|
|Speaker:||Christos Strydis, Erasmus Medical Center|
|Abstract:||The Inferior-Olivary nucleus (ION) is a well-charted brain region, heavily associated with the sensorimotor control of the body. It comprises neural cells with unique properties which facilitate sensory processing and motor-learning skills. Simulations of such neurons become rapidly intractable when biophysically plausible models and meaningful network sizes (at least in the order of some hundreds of cells) are modeled. To overcome this problem, we accelerate a highly detailed ION network model using a Maxeler Dataflow Computing Machine. The design simulates a 330-cell network at real-time speed and achieves maximum throughputs of 24.6 GFLOPS. The Maxeler machine, integrating a Virtex-6 FPGA, yields speedups of x92-102, and x2-8 compared to a reference-C implementation, running on a Intel Xeon 2.66GHz, and a pure Virtex-7 FPGA implementation, respectively.
Georgios Smaragdos, Erasmus Medical Center; Craig Davies, Maxeler Technologies; Christos Strydis, Erasmus Medical Center; Ioannis Sourdis, Chalmers University of Technology; Catalin Ciobanu, Chalmers University of Technology; Oskar Mencer, Maxeler Technologies & Imperial College London; Chris I. De Zeeuw, Erasmus Medical Center, Rotterdam & Netherlands Institute for Neuroscience