With Hands-On GPU Computing with Python, understand effective synchronization strategies for faster processing using GPUs. Write parallel processing scripts with PyCuda and PyOpenCL. (Limited-time offer)
Book Description
- Introducing GPU Computing
- Designing a GPU Computing Strategy
- Setting Up a GPU Computing Platform with NVIDIA and AMD
- Fundamentals of GPU Programming
- Setting Up Your Environment for GPU Programming
- Working with CUDA and PyCUDA
- Working with ROCm and PyOpenCL
- Working with Anaconda, CuPy, and Numba for GPUs
- Containerization on GPU-Enabled Platforms
- Accelerated Machine Learning on GPUs
- GPU Acceleration for Scientific Applications Using DeepChem
Download Free PDF / Read Online
Author(s): Avimanyu Bandyopadhyay
Publisher: Packt Publishing
Published: May 2019
Format(s): Online
File size: –
Number of pages: 452
Download / View Link(s): This offer has ended.
Free as of 08/28/2020.
Publisher: Packt Publishing
Published: May 2019
Format(s): Online
File size: –
Number of pages: 452
Download / View Link(s): This offer has ended.
Free as of 08/28/2020.