Articles by tag: data-structures

What Are Data Structures and Why They Matter | Basics

Learn what are data structures and why they are important for efficient software. Discover types, real-world impact, and how they shape modern computing.

How to Learn Data Structures and Algorithms Effectively: A Plan

Master DSA with this proven study plan. Learn how to learn data structures and algorithms effectively with a step-by-step roadmap, practice strategies, and expert resources. Start now.

Heaps and priority queues: performance optimization

How binary and d-ary heaps on arrays provide high-speed operation of schedulers through cache locality. Practical comparisons and optimizations.

Linked lists: cache misses and benchmarks

Why linked lists are 30 times slower than arrays: analysis of cache misses, memory overhead, and optimizations. Benchmarks, code examples for middle/senior dev. Study real tests.

Arrays and cache: O(1) access optimization

We analyze why sequential access to arrays is 7–10 times faster than random. Benchmarks of strides, matrices, AoS/SoA. Acceleration up to 10× for middle/senior dev.

O(1) vs O(log n) Gap: Cache in Data Structures

Why hash table O(1) loses to binary search O(log n) by 40%? Analysis of cache misses, array/list benchmarks and memory hierarchy for RISC-V. Learn real performance.

Hash tables and cache conflicts: benchmarks

Analysis of cache misses in hash tables: chaining vs probing, FNV-1a, Robin Hood. Benchmarks show a 3x speedup. Optimize data structures for real performance — read the details.

Stacks & Queues: Cache Optimization for Performance in C

Learn how to optimize stacks and queues in C for maximum speed. Compare arrays vs linked lists, implement fast ring buffers, and reduce cache misses by 35x.