May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Comparing Numba to NumPy, ROCm, and CUDA
Let's now compare Numba to NumPy, ROCm, and CUDA in terms of simplicity in parallelization. In the following table, we explore the scope of Numba with respect to NumPy, ROCm, and CUDA to understand the scenarios when Numba could be advantageous to both. Some of the differences are as follows:
|
CUDA |
ROCm |
NumPy |
Numba |
|
Based on C/C++ programming language. |
Based on C/C++ programming language. |
Based on Python programming language. |
Based on Python programming language. |
|
Uses C/C++ combined with specialized code to accelerate computations. |
Uses C/C++ combined with specialized code to accelerate computations for HCC and HIP. |
Fundamental package for scientific computing with Python ... |
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.