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Books on the topic 'GPU1'

Author: Grafiati

Published: 28 June 2021

Last updated: 7 February 2022

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1

Kindratenko, Volodymyr, ed. Numerical Computations with GPUs. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06548-9.

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2

GPU computing gems. Boston, MA: Morgan Kaufmann, 2011.

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3

Engel, Wolfgang. GPU Pro 360. Edited by Wolfgang Engel. First edition. j Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. j Includes bibliographical references and index.: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351052108.

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Engel, Wolfgang. GPU Pro 360. Edited by Wolfgang Engel. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018.: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351208352.

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5

Engel, Wolfgang. GPU Pro 360. Edited by Wolfgang Engel. Boca Raton : Taylor & Francis, CRC Press, 2018: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351261524.

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6

Engel, Wolfgang, ed. GPU Pro 360. Boca Raton : Taylor & Francis, CRC Press, [2018]: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/b22483.

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7

Designing scientific applications on GPUs. Boca Raton, [Florida]: CRC/Taylor & Francis, 2014.

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8

Rodengen, Jeffrey L. The legacy of GPU. Fort Lauderdale, FL: Write Stuff Enterprises, 2000.

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9

Cai, Yiyu, and Simon See, eds. GPU Computing and Applications. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-134-3.

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10

GPU Pro2: Advanced rendering techniques. Natick, Mass: AK Peters, 2011.

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11

Olechnowicz, Franciszek. 7 lat w szponach GPU. Warszawa: Centrum Informacyjno-Reklamowe, 1990.

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12

GPU Pro 3: Advanced rendering techniques. Boca Raton, FL: A K Peters/CRC Press, 2012.

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13

Engel, Wolfgang. GPU pro 6: Advanced rendering techniques. Boca Raton: CRC Press/Taylor Francis Group, 2016.

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14

Laidsaar, Eerik. Ingeri kuningatar, ehk, GPU võrgus: Kriminaalromaan. 3rd ed. [Tallinn?]: Faatum, 1992.

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15

Newmarch, Jan. Raspberry Pi GPU Audio Video Programming. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2472-4.

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16

Kumar, Kishan. Install TensorFlow-GPU on Windows 10. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6698-4.

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17

Soyata, Tolga. GPU Parallel Program Development Using CUDA. Boca Raton, Florida: CRC Press, [2018]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315368290.

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18

Laidsaar, Eerik. Ingeri kuningatar, ehk, GPU võrgus: Kriminaalromaan. 3rd ed. [Tallinn?]: Faatum, 1992.

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19

Baúto, João, Rui Neves, and Nuno Horta. Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73329-6.

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20

Engel, Wolfgang. GPU Pro 360 Guide to Image Space. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018.: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351052221.

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21

Engel, Wolfgang. GPU Pro 360 Guide to Mobile Devices. Boca Raton : Taylor & Francis, CRC Press, [2018]: A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781351138000.

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22

E, Wilczur Jacek, ed. Piekielny krąg: Z dziejów Czeka, GPU, NKWD. [Warszawa: s.n., 1995.

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23

Gulati, Kanupriya. Hardware acceleration of EDA algorithms: Custom ICs, FPGAs and GPUs. New York: Springer, 2010.

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24

Finny-ingermanlandtsy v kogti︠a︡kh GPU: Sbornik pisem soslannykh finnov. Sankt-Peterburg: Gĭolʹ, 2010.

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25

Edward, Kandrot, ed. CUDA by example: An introduction to general-purpose GPU programming. Upper Saddle River, NJ: Addison-Wesley, 2010.

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26

Yuen, David A. GPU Solutions to Multi-scale Problems in Science and Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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27

Yuen, David A., Long Wang, Xuebin Chi, Lennart Johnsson, Wei Ge, and Yaolin Shi, eds. GPU Solutions to Multi-scale Problems in Science and Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16405-7.

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28

Starnes, Charles J. United States letter rates to foreign destinations, 1847 to GPU-UPU. Louisville, Ky. (P.O. Box 36006, Louisville 40233): L.H. Hartmann, Philatelic Bibliopole, 1989.

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29

1956-, Felʹshtinskiĭ I︠U︡riĭ, ed. VChK - GPU. Benson, Vt: Chalidze publications, 1989.

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30

VChK - GPU. Benson (Vt): Chalidze, 1989.

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31

Engel, Wolfgang, ed. GPU Pro. A K Peters/CRC Press, 2010. http://dx.doi.org/10.1201/b10648.

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32

Toit, Stefanus Du, Michael McCool, and Stefanus DuToit. Metaprogramming GPUs with Sh. AK Peters, 2004.

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33

Kindratenko, Volodymyr. Numerical Computations with GPUs. Springer, 2016.

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34

Numerical Computations with GPUs. Springer, 2014.

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35

McCool, Michael. Metaprogramming Gpus with Sh. Taylor & Francis Group, 2019.

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36

McCool, Michael, and Stefanus Du Toit. Metaprogramming GPUs with Sh. A K Peters/CRC Press, 2009. http://dx.doi.org/10.1201/9781568816692.

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37

Engel, Wolfgang. GPU Pro 2. CRC Press LLC, 2016.

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38

GPU Gems 3. Addison-Wesley Professional, 2007.

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39

Engel, Wolfgang. GPU Pro 2. CRC Press LLC, 2016.

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40

Gpu Computing Gems. Morgan Kaufmann Publishers, 2011.

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41

Engel, Wolfgang, ed. GPU Pro 6. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18805.

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42

Engel, Wolfgang, ed. GPU PRO 3. A K Peters/CRC Press, 2012. http://dx.doi.org/10.1201/b11642.

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43

Engel, Wolfgang, ed. GPU Pro 4. A K Peters/CRC Press, 2013. http://dx.doi.org/10.1201/b14077.

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44

Engel, Wolfgang, ed. GPU Pro 7. A K Peters/CRC Press, 2016. http://dx.doi.org/10.1201/b21261.

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45

Engel, Wolfgang. GPU Pro 2. A K Peters/CRC Press, 2016. http://dx.doi.org/10.1201/b11325.

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46

Piccoli, María Fabiana. Computación de alto desempeño en GPU. Editorial de la Universidad Nacional de La Plata (EDULP), 2011. http://dx.doi.org/10.35537/10915/18404.

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Abstract:

Este libro es el resultado del trabajo de investigación sobre las características de la GPU y su adopción como arquitectura masivamente paralela para aplicaciones de propósito general. Su propósito es transformarse en una herramienta útil para guiar los primeros pasos de aquellos que se inician en la computación de alto desempeños en GPU. Pretende resumir el estado del arte considerando la bibliografía propuesta. El objetivo no es solamente describir la arquitectura many-core de la GPU y la herramienta de programación CUDA, sino también conducir al lector hacia el desarrollo de programas con buen desempeño. El libro se estructura de la siguiente manera: Capítulo 1: se detallan los conceptos básicos y generales de la computación de alto rendimiento, presentes en el resto del texto. Capítulo 2: describe las características de la arquitectura de la GPU y su evolución histórica. En ambos casos realizando una comparación con la CPU. Finalmente detalla la evolución de la GPU como co-procesador para el desarrollo de aplicaciones de propósito general. Capítulo 3: este capítulo contiene los lineamientos básicos del modelo de programación asociado a CUDA. CUDA provee una interfaz para la comunicación CPU-GPU y la administración de los threads. También se describe las características del modelo de ejecución SIMT asociado. Capítulo 4: analiza las propiedades generales y básicas de la jerarquía de memoria de la GPU, describiendo las propiedades de cada una, la forma de uso y sus ventajas y desventajas. Capítulo 5: comprende un análisis de los diferentes aspectos a tener en cuenta para resolver aplicaciones con buena performance. La programación de GPU con CUDA no es una mera transcripción de un código secuencial a un código paralelo, es necesario tener en cuenta diferentes aspectos para usar de manera eficiente la arquitectura y llevar a cabo una buena programación. Finalmente se incluyen tres apéndices. En el primero se describen los calificadores, tipos y funciones básicos de CUDA, el segundo detalla algunas herramientas simples de la biblioteca cutil.h para el control de la programación en CUDA. El último apéndice describe las capacidades de cómputo de CUDA para las distintas GPU existentes, listando los modelos reales que las poseen.

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47

Vaidya, Bhaumik. Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs. Packt Publishing - ebooks Account, 2018.

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48

Cai, Yiyu, and Simon See. GPU Computing and Applications. Springer, 2016.

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49

Ploskas, Nikolaos, and Nikolaos Samaras. GPU Programming in MATLAB. Elsevier Science & Technology, 2016.

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50

Cai, Yiyu, and Simon See. GPU Computing and Applications. Springer, 2014.

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