Educational repository focused on classic fundamental algorithms and data structures, implemented idiomatically in Go. Not a production-ready library — rather a quick DSA reference and study notes.

Abstract: Analyzing and understanding the memory access behaviors of applications are essential when optimizing computing systems and applications. One prominent example is the cache miss curve ...

If you're serving LLMs on Kubernetes and using round-robin or least-connections as your load balancing strategy, you're leaving performance on the table. A lot of performance. Google reported up to 96 ...

Welcome to Data Structures and Algorithms in Go! 🎉 This project is designed as a dynamic, hands-on resource for learning and practicing data structures and algorithms in the Go programming language.

As I initially began studying programming, most of my attention was on making the code execute without any errors. I wasn't particular about how it executed. But as I delved deeper into Data ...

Abstract: Efficient execution on modern architectures requires good data locality, which can be measured by the powerful stack distance abstraction. Based on this abstraction, the miss rate for LRU ...

With the ever-growing performance gap between memory systems and disks, and rapidly improving CPU performance, virtual memory (VM) management becomes increasingly important for overall system ...