You're reading from Hands-On GPU Computing with Python

Product typeBook

Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789341072

Edition1st Edition

Languages

Python

Tools

TensorFlow CUDA

Concepts

Data Processing

Author (1)

Avimanyu Bandyopadhyay

High-end budget

High-end configurations are undoubtedly the preference of advanced and expert users who are already experienced in the field. So, in this final section, we will look into the best options in hardware, considering the best performance. Feel free to tweak or modify the respective configurations, the links to which have been provided for each:

Intel CPU and NVIDIA GPU:

CPU	Intel – Core i7-9700K	$193.99
CPU Cooler	Corsair – H60 (2018) 57.2 CFM	$69.98
Motherboard	Asus – ROG STRIX Z390-E ATX LGA1151	$238.89
GPU	Gigabyte NVIDIA GeForce GTX 1080 Ti 11 GB	$754.98
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...

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Hands-On GPU Computing with Python

Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!
Read more about Avimanyu Bandyopadhyay

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