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Hands-On GPU Computing with Python
book

Hands-On GPU Computing with Python

by Avimanyu Bandyopadhyay
May 2019
Intermediate to advanced
452 pages
12h 16m
English
Packt Publishing
Content preview from Hands-On GPU Computing with Python

Disadvantages of closed environments

Though closed environments make it a lot easier to test deployments through virtualization, assessing the performance level will never be the same as on real hardware. The reason for this is the use of virtualized hardware instead of physical hardware. Problems and errors encountered during deployment and testing will always require a real-time physical hardware test in order to ensure complete stability. This is because logging these problems and errors in real time isn't equally feasible as with actual hardware. High-performance computing with huge amounts of data is also not feasible due to the lack of real hardware.

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Publisher Resources

ISBN: 9781789341072