Understanding when Worker Threads outperform the cluster module for multi-core scaling in Node.js.
You have a CPU-bound task (heavy synchronous computation) that must scale across multiple cores while sharing a large in-memory dataset with minimal copy overhead. Which approach is most appropriate, and why?