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• W2012191344 abstract "The box-counting algorithm is one of the most widely used methods for calculating the fractal dimension (FD). The FD has many image analysis applications in the biomedical field, where it has been used extensively to characterize a wide range of medical signals. However, computing the FD for large images, especially in 3D, is a time consuming process. In this paper we present a fast parallel version of the box-counting algorithm, which has been coded in CUDA for execution on the Graphic Processing Unit (GPU). The optimized GPU implementation achieved an average speedup of 28 times (28×) compared to a mono-threaded CPU implementation, and an average speedup of 7 times (7×) compared to a multi-threaded CPU implementation. The performance of our improved box-counting algorithm has been tested with 3D models with different complexity, features and sizes. The validity and accuracy of the algorithm has been confirmed using models with well-known FD values. As a case study, a 3D FD analysis of several brain tissues has been performed using our GPU box-counting algorithm." @default.
• W2012191344 created "2016-06-24" @default.
• W2012191344 creator A5022224215 @default.
• W2012191344 creator A5046999391 @default.
• W2012191344 date "2012-12-01" @default.
• W2012191344 modified "2023-10-14" @default.
• W2012191344 title "Fast box-counting algorithm on GPU" @default.
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• W2012191344 doi "https://doi.org/10.1016/j.cmpb.2012.07.005" @default.
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