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Algorithm Architecture

Algorithm Architecture: Shaping Data with Math

  • Rust
  • C++
  • Algorithm Design
My approach
“Feed a poorly written algorithm to the world's most powerful CPU, and the result is still a disaster. Algorithm design isn't about passing a coding interview; it is about planning exactly how data sits in RAM, how it fits into the CPU Cache, and how it scales. Rust's terrifying compiler and C++'s raw memory power are the tools I use to build this architecture on indestructible foundations.”

The Illusion of Performance

  • Big-O Isn't Everything

    An algorithm that is theoretically O(N) can perform significantly slower in practice due to CPU Cache Misses.

  • Allocation is Expensive

    Continuously instantiating new objects inside a loop severely degrades performance. You must pre-allocate memory blocks and recycle them.

  • Concurrency

    Ensuring multiple threads access the same data safely without deadlocking is a task of pure engineering.

Architectural Needs

  1. 01

    Real-Time Data Processing

    Structures like stock exchanges or live sensor feeds where data must be filtered and routed without delay.

  2. 02

    Physics and Collision Engines

    Calculating the spatial coordinates of thousands of objects (Spatial Partitioning) 60 times a second in games or simulations.

  3. 03

    Custom Tree Structures

    Graph-based routing systems or custom search trees when standard library arrays simply aren't enough.

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