3blue1brownCannon algorithm for matrix multiplication
In this video, we're exploring Cannon's distributed memory matrix multiplication algorithms. These algorithms are key to understanding how large-scale computations are performed in distributed systems.
The animations in this video were created using Manim, an open-source mathematical animation framework.
For those interested in the technical details, the source code for these animations is available on my GitHub repository.
GitHub Repository: https://github.com/bhavik-goplani/Matrix_mult_manim
Enjoy the video, and happy learning!
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Comments
5
Is it silent, please indicate it
3.2
Difficult to follow without audio.
Just a suggestion, modern text to speech softwares do a pretty decent job and the creator may benefit from those.
Best of luck!
3
Nice and fairly concise. I think some basic background music would help with retention and some of the text was very small on my phone. Other than that, great explanation especially without talking!
1.3
My main issue is understanding why Cannon's algorithm is needed and why large scale computations need them as opposed to the regular way of matrix multiplication.