TY - GEN
T1 - Real-time olivary neuron simulations on dataflow computing machines
AU - Smaragdos, Georgios
AU - Davies, Craig
AU - Strydis, Christos
AU - Sourdis, Ioannis
AU - Ciobanu, Cǎtǎlin
AU - Mencer, Oskar
AU - De Zeeuw, Chris I.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84903705435
U2 - 10.1007/978-3-319-07518-1_34
DO - 10.1007/978-3-319-07518-1_34
M3 - Conference proceeding
AN - SCOPUS:84903705435
SN - 9783319075174
SN - 9783319075174
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 487
EP - 497
BT - Supercomputing - 29th International Conference, ISC 2014, Proceedings
PB - Springer-Verlag
T2 - 29th International Supercomputing Conference, ISC 2014
Y2 - 22 June 2014 through 26 June 2014
ER -