Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms

Abstract

The increasing power and decreasing cost of Graphic Processing Units (GPUs) together with the development of programming languages for General Purpose Computing on GPUs (GPGPU) have led to the development and implementation of fast parallel algorithms for this architecture for a large spectrum of applications. Given the streaming-processing characteristics… (More)
DOI: 10.1109/IPDPSW.2013.200

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Cite this paper

@article{LpezOrtiz2013TowardAG, title={Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms}, author={Alejandro L{\'o}pez-Ortiz and Alejandro Salinger and Robert Suderman}, journal={2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum}, year={2013}, pages={601-610} }