My Code Was Perfect. The CPU Disagreed (Memory fences)

Описание: Ever had perfectly correct code produce totally wrong results — only when multithreaded?
Welcome to the confusing, critical world of memory consistency models — the rules that define when and how memory changes become visible across CPU cores and threads.

In this episode of “What Every Programmer Should Know About Memory”, we break down what memory consistency really means, how modern CPUs reorder instructions, and why your multithreaded code might not behave the way you expect — even if it compiles fine.

🔍 What You’ll Learn:
✅ What memory consistency is (and why it matters)
✅ Why writes on one thread don’t always show up instantly on another
✅ The difference between sequential consistency, weak consistency, and relaxed models
✅ How instruction reordering and CPU caches impact consistency
✅ Why locks, barriers, fences, and atomics exist in the first place
✅ Real-world examples of race conditions and consistency violations

💡 If you write multithreaded code in C/C++, Rust, Java, Go, or even JavaScript (yes, really) — understanding memory consistency is essential to avoid mysterious bugs.

📘 Watch the Full Series:
   • Why Your Code is SLOW – The Memory Secret ...  

📌 Subscribe and turn on notifications 🔔 to catch the next episode!

🛠️ Helpful Resources:
📚 Best Books for Low-Level Programming Optimization → [https://people.freebsd.org/~lstewart/...]

💬 Let’s Talk:
Ever struggled with a race condition you couldn’t explain?
💬 Drop your debugging horror stories in the comments — and I might feature them in a future episode!

📌 Like 👍 | Comment 💬 | Subscribe 🔔 to join the deep-dive programming series.

📈 Hashtags for SEO:
#MemoryConsistency #Concurrency #Multithreading #RaceConditions #MemoryModel #LowLevelProgramming #SoftwareEngineering #WhatEveryProgrammerShouldKnow