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 |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt Publishing, Limited,
2019.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.