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Introduction CSE 257 Search and Optimization by Sicun Gao was my first course on machine learning as part of my Masters. I was drawn to this course since everyone I asked told me this was more of a math than an ML course. If you know me, you would know my dissent towards ML in general, since all I ever had exposure to were libraries that did the work for you, or some basic techniques like gradient descent without knowing why it actually works, and why can people not explain the actions by ML algorithms since they seem deterministic....

Introduction I took CSE 260 Parallel Computing by Bryan Chin in my first quarter at UCSD. Advertised as a practical course alternative to the CSE 240B Parallel Computer Architecture, I was interested in this as a good complement to CSE 240A Computer Architecture, and it did not disappoint! The course was fully hands on with three projects and the course based around the practical implementation of parallel computing. Contents ranged from vector processing on CPUs, graphics acceleration for arithmetic and using multiple independent systems using message passing for processing large amounts of data, while including theoretical concepts behind these like Amdahl’s law for speedup and Little’s Law for pipelines....

Introduction CSE 291 Virtualization , by Yiying Zhang , is one of my first courses that I have taken as a Master’s student at University of California, San Diego. We started from the basics of virtualization, progressed through different types and solutions, dove into containers, Kubernetes and serverless, and ended on a high note with cloud computing and its future. If you have read my previous posts, I have been using virtualization solutions for quite some time, for both work and play....

Preface In the guide, I will target utilizing consumer-grade graphics such as the GTX and RTX series of graphic cards from NVIDIA for container workloads on Kubernetes. If you have read through my previous posts , I am migrating the services I used to host on plain old docker-compose to Kubernetes. One such workload was Jellyfin, which was hobbling when using its transcoding feature on the puny Intel Iris Plus 655 integrated graphics....

Quick Look Repository: Stats: Initial Approach: Ingress Controller I started out with a simple goal in mind that expanded a lot as I proceeded to code it. I wanted to build an Ingress Controller that does just one thing. It should read the annotations from my Ingress Resources, look at the ConfigMap and the target domain and modify the ConfigMap to add the target domain to it. FYI, an Operator is a combination of a Custom Resource and a Controller for it....