Architectural design and complexity analysis of large-scale cortical simulation on a hybrid computing platform

Qing Wu, Qinru Qiu, Richard Linderman, Daniel Burns, Michael Moore, Dennis Fitzgerald

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Research and development in modeling and simulation of human cognizance functions requires a high-performance computing platform for manipulating large-scale mathematical models. Traditional computing architectures cannot fulfill the attendant needs in terms of arithmetic computation and communication bandwidth. In this work, we propose a novel hybrid computing architecture for the simulation and evaluation of large-scale associative neural memory models. The proposed architecture achieves very high computing and communication performances by combining the technologies of hardware-accelerated computing, parallel distributed data operation and the publish/subscribe protocol. Analysis has been done on the computation and data bandwidth demands for implementing a large-scale Brain-State-in-a-Box (BSB) model. Compared to the traditional computing architecture, the proposed architecture can achieve at least 100X speedup.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007
Pages201-205
Number of pages5
DOIs
StatePublished - Sep 25 2007
Externally publishedYes
Event2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007 - Honolulu, HI, United States
Duration: Apr 1 2007Apr 5 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007

Other

Other2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007
CountryUnited States
CityHonolulu, HI
Period4/1/074/5/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Theoretical Computer Science

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    Wu, Q., Qiu, Q., Linderman, R., Burns, D., Moore, M., & Fitzgerald, D. (2007). Architectural design and complexity analysis of large-scale cortical simulation on a hybrid computing platform. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007 (pp. 201-205). [4219101] (Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, CISDA 2007). https://doi.org/10.1109/CISDA.2007.368154