Running code on your Graphics Card - podcast @powerbasicforbeginners
Running code on your Graphics Card - podcast  @powerbasicforbeginners
Uploaded April 2026 | Updated September 2026, 12 hours ago
Today we look at a high level guide to GPU programming, explaining how graphics cards have evolved into powerful engines for scientific math, artificial intelligence, and data processing.

We compares various programming languages and APIs, such as CUDA for specialized NVIDIA tasks and OpenCL & Vulkan for cross-platform flexibility. We also look at high-level frameworks like PyTorch and TensorFlow, which allow developers to utilize hardware acceleration using simple Python code.

There are specific toolkits and add-ons tailored to their goals, whether they are building web applications or training neural networks. Ultimately, we provide a practical roadmap for beginners to set up their environment and begin executing code on modern graphics hardware.

Source files and an Index to all the YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.htm

I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.

For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php

Music by ghosthack.de
Running code on your Graphics Card - podcast
PowerBasic for Beginners |

Running code on your Graphics Card - podcast

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