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Accelerating Brain Simulations on Graphical Processing Units

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Accelerating Brain Simulations on Graphical Processing Units.pdf (491.4Kb)
Date
2015
Author
Kayraklıoğlu, Engin
El-Ghazawi, Tarek A.
Bozkuş, Zeki
Abstract
NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work we present a CUDA(R) implementation of NEST. We were able to gain a speedup of factor 20 for the computational parts of NEST execution using a different data structure than NEST's default. Our partial implementation shows the potential gains and limitations of such possible port. We discuss possible novel approaches to be able to adapt generic spiking neural network simulators such as NEST to run on commodity or high-end GPGPUs.

Source

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing

Pages

556-560

URI

https://hdl.handle.net/20.500.12469/627
https://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.79

Collections

  • Araştırma Çıktıları / Scopus [1482]
  • Araştırma Çıktıları / WOS [1412]
  • Bilgisayar Mühendisliği / Computer Engineering [177]

Keywords

Brain simulation
Cuda
Accelerators

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