Multiprocessing Simulator
Visualize how CPUs, cores, threads, parallel work, and overhead influence estimated runtime and speedup.
Visual learning • Interactive controls • Parallel speedup insights
- - Overhead grows with thread count and reduces parallel benefit.
- - Cores are saturated — additional threads won’t increase effective workers.
Processed Locally
Your file never leaves your device. Everything is processed in your browser — we never see or store your data.
Related Tools
Programming Studio — Python Visualizer & Learning Hub
Step-by-step Python code visualizer, algorithm visualizer, formatter, pseudocode converter, quiz generator, and more — all in your browser.
Big-O Complexity Explainer — Time & Space
Learn and compare time complexity notations with examples, code, and a complexity comparison table.
Algorithm Visualizer — Sort, Search & More
Step through classic algorithms — bubble sort, binary search, linear search, factorial — with live variable inspection.