Simulating the Behaviour of the Human Brain on NVIDIA GPU: cuHinesBatch & cuThomasBatch implementations

Understand the human brain is one of the century challenges. On this work we are going to achieve a small step towards this objective presenting a novel data layout in order to compute more efficiently the Hines algorithm on GPU. A more general tridiagonal solver is going to be presented too.

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Bibliographische Detailangaben
1. Verfasser:	Martínez Pérez, Ivan
Format:	Dissertation
Sprache:	eng
Schlagworte:	Algoritme de Hines Algoritme de Thomas CUDA cuSPARSE Escalabilitat GPUs Hines Algorithm Human Brain Informàtica Multicore Multiprocessador Multiprocessadors Multiprocessors Neuron Neurona Parallel Computing Parallel Processing Parallel processing (Electronic computers) PCR Processament en paral·lel (Ordinadors) Processament Paral·lel Scalability Sistema Tri-diagonal Lineal Thomas Algorithm Tridiagonal Linear Systems Àrees temàtiques de la UPC
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Beschreibung
Zusammenfassung:	Understand the human brain is one of the century challenges. On this work we are going to achieve a small step towards this objective presenting a novel data layout in order to compute more efficiently the Hines algorithm on GPU. A more general tridiagonal solver is going to be presented too.