کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4951731 | 1441486 | 2017 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
This paper introduces a parallel implementation of the kernelized Slackmin algorithm able to tackle medium scale data in pattern classification applications. Initially, the main principles of the serial Slackmin algorithm are described, with emphasis to its parallel nature making its parallelization a straightforward task. The parallelization is achieved by utilizing the parallel processing capabilities of the CUDA architecture of a low cost NVIDIA GPU card. The resulted GPU-based Slackmin algorithm named cuKSlackmin is able to classify medium scale data in a reasonable time without sacrificing its classification performance. A detailed comparison with some established GPU-based classification algorithms, widely used in machine learning, has proved the high performance of the proposed scheme as an alternative tool for medium scale data classification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Parallel and Distributed Computing - Volume 99, January 2017, Pages 90-99
Journal: Journal of Parallel and Distributed Computing - Volume 99, January 2017, Pages 90-99
نویسندگان
G.A. Papakostas, K.I. Diamantaras, T. Papadimitriou,