Advent of Code 2023 – Day 2
I'm trying to solve all the Advent of Code puzzles in this video series.
In this video, we talk about angry letters and how to handle when you need to send one of those.
In this video, we improve the JavaCNN repository adding new image readers to get your test and training data.
In this video series, I try to challenge myself with the Advent of Code trials. Each solution will be published to Github, and I hope you will learn something from my coding mistakes and perhaps send some code my way on how you have done these challenges. I know by reading code, so this is…
We look into scaling Kubernetes using a RabbitMQ queue or using horizontal autoscaling. There are guides for autoscaling using CPU, and I found a repository for RabbitMQ scaling. I will do the operations I’ve detailed in the git repository below.
We use JCuda to run some workloads on the GPU and see the difference in speed.
We use OpenCL to run workloads on GPU and try a simple blur filter.