Reader small image

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

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789341072
Edition1st Edition
Languages
Right arrow
Author (1)
Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
author image
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

Right arrow

Writing your first PyCUDA programs to compute a general-purpose solution

Let's continue our exciting journey forward. Now is the right time to get our hands dirty and write our first PyCUDA program that will compute a general-purpose solution. Follow the next steps to get started:

  1. First, open a new file in PyCharm:
  1. Now use the following code to print Hello World from NVIDIA GPU! from the GPU device itself! This is a regular and basic format in PyCUDA:
# Auto initialization for CUDA (can be done manually as well)
import pycuda.autoinit

# Importing SourceModule from the PyCUDA Compiler module
from pycuda.compiler import SourceModule

# Printing from the GPU device itself!
mod = SourceModule("""
__global__ void hello_from_nvidia_gpu()
{
printf("Hello World from NVIDIA GPU!");
}
""")

#Referencing the function for the GPU kernel
hello = mod.get_function...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On GPU Computing with Python
Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

author image
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