scholarly journals Real-time simulation of a cat-scale artificial cerebellum on PEZY-SC processors

Author(s):  
Tadashi Yamazaki ◽  
Jun Igarashi ◽  
Junichiro Makino ◽  
Toshikazu Ebisuzaki

The cerebellum is a part of the brain that plays essential roles in real-time motor learning and control and even cognitive functions. Thanks to the large amount of anatomical and physiological data, we implemented a spiking network model of the cerebellum on Shoubu, an energy-efficient supercomputer with 1280 PEZY-SC processors at RIKEN. Our artificial cerebellum consists of more than one billion neurons, which is comparable to the whole cerebellum of a cat. Using 1008 of 1280 processors on Shoubu, we achieved real-time simulation, that is, a computer simulation of the model for 1 s completes within 1 s of the real world with temporal resolution of 1 ms. Effective performance was estimated as 68 teraflops in single-precision floating points, suggesting 2.6% of peak performance. We expect that the artificial cerebellum will be applicable to various engineering applications, such as robotics and brain-style artificial intelligence.

Robotica ◽  
1998 ◽  
Vol 16 (4) ◽  
pp. 445-456
Author(s):  
M. O. Tokhi ◽  
M. A. Hossain ◽  
A. K. M. Azad

This paper presents an investigation into the utilisation of sequential and parallel processing techniques for the real-time simulation of a flexible manipulator system. A finite dimensional simulation of the system is developed using a finite difference approximation to the governing dynamic equation of the manipulator. The developed algorithm is implemented on a number of uni-processor and multi-processor, homogeneous and heterogeneous, parallel architectures. A comparison of the results of these implementations is made and discussed, on the basis of real-time processing requirements in the simulation and control of flexible manipulator systems.


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