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Markov models / Numerical linear algebra / Abstract algebra / Link analysis / PageRank / Google matrix / Power iteration / Eigenvalues and eigenvectors / CUDA / Algebra / Mathematics / Linear algebra


Cost Efficient PageRank Computation using GPU Praveen K.∗ , Vamshi Krishna K.† , Anil Sri Harsha B.‡ , S. Balasubramanian, P.K. Baruah Sri Satya Sai Institute of Higher Learning, Prasanthi Nilayam, India {praveen.k
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Document Date: 2011-11-11 12:59:18

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Company

AMD / GPU / ACM Press / Google / Intel / NVIDIA Corporation / /

Currency

USD / /

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Facility

CUDA CUBLAS Library / P.K. Baruah Sri Satya Sai Institute of Higher Learning / University of Toronto Department / CUDA CUSPARSE Library / CUSPARSE library / /

IndustryTerm

sparse matrix vector product / search technology / Web crawl / http /

OperatingSystem

Fermi / /

Organization

ON CC / University of Toronto Department of Computer Science / P.K. Baruah Sri Satya Sai Institute of Higher Learning / Stanford / /

Person

Eigenvector / Satoshi Matsuoka / Stanford InfoLab / Taher H. Haveliwala / Cambazoglu Akira Nukada Ali Cevahir / Sepandar D. Kamvar / Shaozhi Ye / Xing Li / Terry Winograd / Ar D. Kamvar / Cevdet Aykanat / Rajeev Motwani / Gene Golub / Sergey Brin / Sepandar Kamvar / Christopher Manning / Akira Nukada Ali Cevahir / Lawrence Page / Tanya Leise / Kurt Bryan / David Gleich / Taher Haveliwala / Bhagwan Sri Sathya Sai Baba / Eigen / Yangbo Zhu / Anil Sri Harsha / /

Position

Author / random surfer / Founder Chancellor / /

PublishedMedium

Extrapolation / /

Technology

ISDN / RAM / evaluatiing link analysis algorithms / Power method type Algorithm / following Algorithm / knowledge management / PageRank algorithm / 2 Duo 3.00GHz processor / search engine / link analysis algorithms / search technology / Parallel Processing / /

URL

http /

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