CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets

CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets

This paper presents a new clustering algorithm, the GPIC, a graphics processing unit (GPU) accelerated algorithm for power iteration clustering (PIC). Our algorithm is based on the original PIC proposal, adapted to take advantage of the GPU architecture, maintaining the algorithm's original pro...

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Bibliographic Details
Main Authors: Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro De Medeiros, Brayan Rene Acevedo Jaimes, Carla Caldeira Takahashi, Douglas Alexandre Gomes Vieira, Antonio De Padua Braga
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Scalable machine learning algorithms
GPU
power iteration clustering
Online Access:https://ieeexplore.ieee.org/document/8078163/

Internet

https://ieeexplore.ieee.org/document/8078163/

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