3D parallel conjugate gradient solver optimized for GPUs

Conjugate gradient (CG) solver implementations optimized for GPUs are developed and applied to a 3D finite element (FEM) problem. Results show that our GPUs implementations have a superior improvement in computational performance than cluster and other GPU implementations, due to algorithm and other...

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Bibliographische Detailangaben
Hauptverfasser:	Carvalho, Rogerio F, Martins, Carlos A P S, Batalha, Rose M S, Camargos, Ana F P
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Character generation Clustering algorithms Computer architecture Concurrent computing Costs Data structures Energy consumption Finite element methods High performance computing Parallel processing
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Beschreibung
Zusammenfassung:	Conjugate gradient (CG) solver implementations optimized for GPUs are developed and applied to a 3D finite element (FEM) problem. Results show that our GPUs implementations have a superior improvement in computational performance than cluster and other GPU implementations, due to algorithm and other architecture dependent optimizations.
DOI:	10.1109/CEFC.2010.5481308