Rabu, 23 April 2014

Free Download GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

Free Download GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)


GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)


Free Download GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

Über den Autor und weitere Mitwirkende

Tolga Soyata is an associate professor in the Electrical and Computer Engineering department of SUNY Albany.

Produktinformation

Gebundene Ausgabe: 440 Seiten

Verlag: Taylor & Francis Inc (12. Februar 2018)

Sprache: Englisch

ISBN-10: 1498750753

ISBN-13: 978-1498750752

Größe und/oder Gewicht:

17,8 x 3,2 x 25,4 cm

Durchschnittliche Kundenbewertung:

Schreiben Sie die erste Bewertung

Amazon Bestseller-Rang:

Nr. 16.726 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science) PDF

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science) PDF

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science) PDF
GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science) PDF

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