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Hands-On GPU Computing with Python

You're reading from   Hands-On GPU Computing with Python Explore the capabilities of GPUs for solving high performance computational problems

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789341072
Length 452 pages
Edition 1st Edition
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Author (1):
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Avimanyu Bandyopadhyay Avimanyu Bandyopadhyay
Author Profile Icon Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware
2. Introducing GPU Computing FREE CHAPTER 3. Designing a GPU Computing Strategy 4. Setting Up a GPU Computing Platform with NVIDIA and AMD 5. Section 2: Hands-On Development with GPU Programming
6. Fundamentals of GPU Programming 7. Setting Up Your Environment for GPU Programming 8. Working with CUDA and PyCUDA 9. Working with ROCm and PyOpenCL 10. Working with Anaconda, CuPy, and Numba for GPUs 11. Section 3: Containerization and Machine Learning with GPU-Powered Python
12. Containerization on GPU-Enabled Platforms 13. Accelerated Machine Learning on GPUs 14. GPU Acceleration for Scientific Applications Using DeepChem 15. Other Books You May Enjoy Appendix A

Mid-range budget

Intermediate users are most likely to learn as well as carry out qualitative testing of their GPU applications on their systems. Let's explore the four combinations with a mid-range goal.

  • Intel CPU and NVIDIA GPU:
...

CPU

Intel – Core i5-8400

$399.79

CPU Cooler

Corsair – H60 (2018) 57.2 CFM

$69.98

Motherboard

Gigabyte – B360M DS3H microATX LGA1151

$69.99

GPU

Asus – NVIDIA GeForce GTX 1070 Ti 8 GB

$399.99

RAM

Corsair Vengeance LPX 2x16GB

$200.00

SSD

ADATA – Ultimate SU800 256 GB

$44.99

HDD

Western Digital – Caviar Green 2 TB

$89.89

Case

Cooler Master – MasterBox Lite 5 ATX Mid Tower

$55.98

PSU

SeaSonic – FOCUS Plus Gold 850W 80+ Gold Certified Fully-Modular ATX

$119.89

Monitor

Acer – G226HQL 21.5 1920x1080

$89.99

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