Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimization of SVD over GPGPU using OpenCL

Optimization of SVD over GPGPU using OpenCL

Akhtar, Nadeem
Nawaz Khan, Shazeb

Paperback

General Computers

ISBN10: 3659400890
ISBN13: 9783659400896
Publisher: Lap Lambert Academic Pub
Published: Jun 26 2013
Pages: 92
Weight: 0.32
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
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.

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