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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bandyopadhyay, Avimanyu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2019.
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.