Algorithmic strategies for optimizing the parallel reduction primitive in CUDA

Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a set of well-known dataparallel primitives. Those primitives are usually invoked from the host many times, so their throughput has a great impact on the performance of the overall system. Thus, the study of nove...

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Veröffentlicht in:	2012 International Conference on High Performance Computing and Simulation S. 511 - 519
Hauptverfasser:	Martin, P. J., Ayuso, L. F., Torres, R., Gavilanes, A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2012
Schlagworte:	Arrays CUDA data-parallel algorithms GPGPU Graphics processing unit Instruction sets Kernel Optimization parallel reduction segmented parallel reduction Synchronization Throughput
ISBN:	9781467323598, 1467323594
Online-Zugang:	Volltext
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