Simulating Spiking Neural Networks Based on SW26010pro

Wang, Zhichao1,2; Li, Xuelei2; Meng, Jintao2; Pan, Yi2; Wei, Yanjie2

10.1007/978-3-031-23198-8_32

2022

18th International Symposium on Bioinformatics Research and Applications (ISBRA)

0302-9743

1611-3349

978-3-031-23197-1

LECT NOTES ARTIF INT

13760

NOV 14-17, 2022

Univ Haifa,Haifa,ISRAEL

GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND

SPRINGER INTERNATIONAL PUBLISHING AG

The spiking neural network (SNN) simulators play a significant role in modeling neural systems and the study of brain function. Currently, many simulators using CPU or GPU have been developed. However, these simulators usually show low efficiency, resulting from the random synaptic connections, random spiking events, and random synaptic delay and plastic properties in the SNN models. To overcome the problem of randommemory access etc., a new simulator named SWsnn is developed based on a new Chinese processor, SW26010pro. SW26010pro consists of six core groups (CGs), and each CG has 16 MB of local direct memory (LDM) (similar to L1/L2 cache), which is enough to store neuron data for a long time. By rearranging the synaptic and neuron data, SWsnn ensures that most of the randommemory access occurs in the neuron data, and the reusability of the LDM is improved obviously. The results illustrate that the proposed SWsnn runs faster than other GPU-based simulators.

Spiking neural network simulation Computer simulation SW26010pro

第一

英语

CPCI-S

Key Research and Development Project of Guangdong Province[2021B0101310002]

Computer Science ; Mathematical & Computational Biology

Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology

WOS:000913222200032

Web of Science

1.Southern Univ Sci & Technol, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China

Wang, Zhichao,Li, Xuelei,Meng, Jintao,et al. Simulating Spiking Neural Networks Based on SW26010pro[C]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2022.