---
title: "Big O vs Hardware: Better Complexity ≠ Better Performance"
url: https://daily.dev/posts/big-o-vs-hardware-better-complexity-better-performance-eusvf9qzy
source_url: https://blog.codingconfessions.com/p/big-o-vs-hardware
type: article
source: "Confessions of a Code Addict"
published: 2025-08-03T18:48:34.547Z
updated: 2026-03-15T04:02:15.185Z
tags: ["algorithms", "hardware", "performance"]
reading_time: 13
upvotes: 3
comments: 0
language: en
---

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# Big O vs Hardware: Better Complexity ≠ Better Performance

**[Confessions of a Code Addict](https://daily.dev/sources/codeconfessions)** · 13 min read · 3 upvotes · 0 comments

## Summary

Explores why algorithms with better time complexity don't always perform better in practice. Compares three GCD algorithms (subtraction-based O(n), modulo-based O(log n), and Stein's binary O(log n)) through benchmarks, showing how hardware characteristics like instruction latency, throughput, and IPC can make a theoretically slower algorithm outperform a faster one. Demonstrates that real-world performance depends on both algorithmic efficiency and hardware-friendly implementation choices.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.codingconfessions.com/p/big-o-vs-hardware>

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---

Tags: [#algorithms](https://daily.dev/tags/algorithms), [#hardware](https://daily.dev/tags/hardware), [#performance](https://daily.dev/tags/performance)

[View this post on daily.dev](https://daily.dev/posts/big-o-vs-hardware-better-complexity-better-performance-eusvf9qzy)