Intermediate LevelNode JS
How do SharedArrayBuffer and Atomics prevent memory race conditions between multiple Worker Threads?
❓ Interview Prompt: SharedArrayBuffer allocates shared RAM accessible by multiple threads simultaneously. Atomics.add(), Atomics.load(), and Atomics.store() enforce mutex lock synchronization, ensuring threads read/write memory without data corruption.
While Worker Threads have separate memory by default, 'SharedArrayBuffer' allows sharing raw binary RAM between threads:
Prevents Race Conditions ('Atomics'):
Standard memory writes trigger race conditions. The 'Atomics' API ('Atomics.add', 'Atomics.load') guarantees atomic lock-free operations across shared worker threads!
Code Implementation Example
javascript
import { Worker } from 'node:worker_threads';
// Allocate 4-byte SharedArrayBuffer
const sharedBuffer = new SharedArrayBuffer(4);
const sharedArray = new Int32Array(sharedBuffer);
// Atomic increment across threads
Atomics.add(sharedArray, 0, 1);
console.log('Atomic Count:', Atomics.load(sharedArray, 0));💡Atomic memory operations across worker threads using SharedArrayBuffer and Atomics.
🎯 Interview Key Takeaway
Use SharedArrayBuffer with Atomics to safely share and mutate memory across Worker Threads without data races.
#SharedArrayBuffer#Atomics#Worker Threads#Concurrency#Intermediate
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