Real-time olivary neuron simulations on dataflow computing machines
Paper i proceeding, 2014

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 24.7 GFLOPS. The Maxeler machine, integrating a Virtex-6 FPGA, yields speedups of ×92-102, and ×2-8 compared to a reference-C implementation, running on a Intel Xeon 2.66GHz, and a pure Virtex-7 FPGA implementation, respectively.

Författare

G. Smaragdos

Erasmus University Medical Center

C. Davies

Maxeler Technologies

C. Strydis

Erasmus University Medical Center

Ioannis Sourdis

Chalmers, Data- och informationsteknik, Datorteknik

Catalin Ciobanu

Chalmers, Data- och informationsteknik, Datorteknik

O. Mencer

Imperial College London

Maxeler Technologies

C.I. De Zeeuw

Netherlands Institute for Neuroscience NIN - KNAW

Erasmus University Medical Center

Lecture Notes in Computer Science

0302-9743 (ISSN)

Vol. 8488 487-497

Ämneskategorier

Människa-datorinteraktion (interaktionsdesign)

DOI

10.1007/978-3-319-07518-1_34

ISBN

978-3-319-07517-4

Mer information

Senast uppdaterat

2018-09-06