Speed Up Python DRAMATICALLY With CUDA GPU

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United States Pragmatic AI Labs
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Published on ● Video Link: https://www.youtube.com/watch?v=cXlz-hZ_bgU


Duration: 9:40
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Learn to use a CUDA GPU to speed up code in Python dramatically.

CUDA POWERED!

This video will show you how to use CUDA GPUs with Python.
Topics Covered Include:

* 00:00 Introduction
* 00:16 End of Moore's Law
* 01:15 What is a TPU and ASIC
* 02:25 How a GPU works
* 03:05 Enabling GPU in Colab Notebook
* 04:16 Using Python Numba
* 05:40 Building Mandlebrots with and without GPU and Numba
* 07:49 CUDA Vectorize Functions
* 08:27 Copy Data to GPU Memory

Learning Objectives

- Learn about the End of Moore's Law and ASICs
- Learn to compare the performance of GPUs and TPUs, and JIT compilers
- Build your own vectorized functions with Numba and CUDA to speed up your code with GPUs

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Tags:
cuda
gpu
numba
colab
data science
python
jit
speed up code
speedy
mandelbrot
vectorize
data frame
moore's law
ascis
tpu
cpu
notebook
jupyter
programming
deep learning
benchmark