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Neuronal connectivity assessment for epileptic seizure prevention: Parallelizing the generalized partial directed coherence on many-core platforms

Georgis, G, Reisis, DI, Skordilakis, P, Tsakalis, KS, Shafique, AB, Chatzikonstantis, G and Lentaris, G (2014) Neuronal connectivity assessment for epileptic seizure prevention: Parallelizing the generalized partial directed coherence on many-core platforms In: International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 2014-07-14 - 2014-07-17, Samos, Greece.

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Abstract

Research on the prevention of epileptic seizures has led to approaches for future treatment techniques, which rely on the demanding computation of generalized partial directed coherence (GPDC) on electroencephalogram (EEG) data. A fast computation of such metrics is a key factor both for the off-line optimization of algorithmic parameters and for its real-time implementation. Aiming at speeding up the GPDC computations on EEG data, the current paper presents massively parallel computational strategies for implementing the GPDC on many-core architectures. We apply the proposed strategies on commercial and experimental many-core platforms and we compare the results of the computation time of a set of EEG data on the Bulldozer and Ivy Bridge x86_64 serial processors. We test the GPUs of nVidia GTX 550 Ti and GTX 670, which at the best case achieve a significant speedup of 190x and 460x respectively. Moreover, we apply the proposed parallelization strategies on the Single-Chip Cloud Computer (SCC), an experimental processor created by Intel Labs.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Georgis, GUNSPECIFIEDUNSPECIFIED
Reisis, DIUNSPECIFIEDUNSPECIFIED
Skordilakis, PUNSPECIFIEDUNSPECIFIED
Tsakalis, KSUNSPECIFIEDUNSPECIFIED
Shafique, ABUNSPECIFIEDUNSPECIFIED
Chatzikonstantis, GUNSPECIFIEDUNSPECIFIED
Lentaris, GUNSPECIFIEDUNSPECIFIED
Date : November 2014
Identification Number : 10.1109/SAMOS.2014.6893234
Copyright Disclaimer : © 2014 IEEE
Uncontrolled Keywords : Graphics processing units, Computer architecture, Mathematical model, Computational modeling, Brain modeling, Computers, Complexity theory
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 31 Oct 2016 14:33
Last Modified : 31 Oct 2017 18:52
URI: http://epubs.surrey.ac.uk/id/eprint/812690

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