Optimization of SVD over GPGPU using OpenCL kitap kapağı
Kitap başlığı:

Optimization of SVD over GPGPU using OpenCL

Parallelization of SVD Modules in LAPACK

LAP LAMBERT Academic Publishing (2013-06-26 )

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ISBN-13:

978-3-659-40089-6

ISBN-10:
3659400890
EAN:
9783659400896
Kitabın dili:
İngilizce
Özet:
Many of the engineering applications require linear algebra to furnish the analysis. Singular Value Decomposition is one of the most powerful tool of linear algebra. This method alone serves many computational and analytical purposes. Although the computation of SVD of a matrix is bulky, the process involves a sequence of vector operations. This makes it a good candidate for parallelization of over Graphic Processors. This book proposes parallelization of SVD modules in LAPACK over GPGPU using OpenCL, which is platform independent and focuses on routines beyond BLAS.
Yayınevi:
LAP LAMBERT Academic Publishing
Websitesi:
https://www.lap-publishing.com/
Yazar:
Nadeem Akhtar, Shazeb Nawaz Khan
Sayfa sayısı:
92
Yayın tarihi:
2013-06-26
Hisse:
Mevcut
Kategori:
Bilişim, BT
Fiyat:
54.90 €
Anahtar kelimeler:
Singular Value Decomposition, GPGPU, OpenCL, parallel computing

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