GPU programming using Python and Cuda. Explore high -performance parallel calculations
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The book offers a quick immersion in GPU programming. You will learn how to apply the Amdal law, use a profile to determine narrow places in the Python code, configure the environment for GPU programming. As you read, you will launch your code on the GPU and write full -fledged nuclei and functions on Cuda C, learn to debug the code using NSight IDE and get an idea of well -known libraries from NVIDIA, in particular CUFFT and Cublas. Armed with this knowledge, you can write a deep neural network using GPU from scratch and study more thorough topics.
The book is intended for developers and data processing specialists who want to get acquainted with the basics of effective GPU programming to improve performance using programming on Python. It is desirable to get acquainted with the basic concepts of mathematics and physics, as well as the experience of programming on Python and any programming language based
The book is intended for developers and data processing specialists who want to get acquainted with the basics of effective GPU programming to improve performance using programming on Python. It is desirable to get acquainted with the basic concepts of mathematics and physics, as well as the experience of programming on Python and any programming language based
Author:
Author:Toumanen Brian
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-97060-821-0
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