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Hands-On GPU Computing with Python : Explore the Capabilities of GPUs for Solving High Performance Computational Problems.
GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine le...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bandyopadhyay, Avimanyu. | |
| 245 | 1 | 0 | |a Hands-On GPU Computing with Python : |b Explore the Capabilities of GPUs for Solving High Performance Computational Problems. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2019. | ||
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| 520 | |a GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine learning models and other data-intensive processing. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Hands-on GPU computing with python: explore the capabilities of GPUs for solving high performance computational problems -- Dedication -- Contributors -- Table of Contents -- Preface -- Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware -- Chapter 1: Introducing GPU Computing -- Chapter 2: Designing a GPU Computing Strategy -- Chapter 3: Setting Up a GPU Computing Platform with NVIDIA and AMD -- Section 2: Hands-On Development with GPU Programming -- Chapter 4: Fundamentals of GPU Programming -- Chapter 5: Setting Up Your Environment for GPU Programming -- Chapter 6: Working with CUDA and PyCUDA -- Chapter 7: Working with ROCm and PyOpenCL -- Chapter 8: Working with Anaconda, CuPy, and Numba for GPUs -- Section 3: Containerization and Machine Learning with GPU-Powered Python -- Chapter 9: Containerization on GPU-Enabled Platforms -- Chapter 10: Accelerated Machine Learning on GPUs -- Chapter 11: GPU Acceleration for Scientific Applications Using DeepChem -- Appendix A -- Other Books You May Enjoy -- Index. | |
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| 650 | 0 | |a Graphics processing units |x Programming. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Processeurs graphiques |x Programmation. | |
| 650 | 6 | |a Python (Langage de programmation) | |
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| 650 | 7 | |a Computers |x Software Development & Engineering |x Systems Analysis & Design. |2 bisacsh | |
| 650 | 7 | |a Computers |x Digital Media |x Graphics Applications. |2 bisacsh | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
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