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Implementation of Conduction Delay and Collective Communication in a Parallel Spiking Neural Network Simulator.
KTH, Skolan för datavetenskap och kommunikation (CSC).
2011 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
Abstract [en]

Tahmina Akther

Implementation of conduction delay and collective communication in a parallel spiking neural network simulator

As we know neural networks have a parallel structure and it is well suited for implementations in a parallel environment. The Bayesian Confidence Propagation Neural Network (BCPNN) which has been developed past thirty years is the main subject this thesis. An important issue is the implementation of communications between the processors. The aim of this thesis is to investigate point to point and collective communication methods and check how it works in real time. A second goal is to introduce time delay in point-to-point communication. These schemes have been implemented on Blue Gene Supercomputer using Message Passing Interface (MPI). At the end of thesis, the comparison between the two communication methods and the results of the two different models are shown.

sted, utgiver, år, opplag, sider
2011.
Serie
Trita-CSC-E, ISSN 1653-5715 ; 2011:134
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-130655OAI: oai:DiVA.org:kth-130655DiVA, id: diva2:654102
Utdanningsprogram
Master of Science - Computational and Systems Biology
Uppsök
Technology
Veileder
Examiner
Tilgjengelig fra: 2013-10-07 Laget: 2013-10-07 Sist oppdatert: 2018-01-11

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