Tolga Soyata

GPU Parallel Program Development Using CUDA (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 476
• Erscheinungstermin: 19. Januar 2018
• Englisch
• ISBN-13: 9781498750769
• Artikelnr.: 50920284

Autorenporträt

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