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🧮 Development Performance Optimization: 2D Multicore Scaling Map

Interactive 2D die map of a 64-core processor showing where parallel speedup is lost: lock contention, cache-coherency traffic, DRAM latency and memory bandwidth, using Gunther's Universal Scalability Law, an average-memory-access-time CPI model and a roofline bandwidth cap, with a live speedup-versus-cores graph.

Physics & Mechanics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-development-performance-optimization-simulation ↗ Open standalone
⚙ Under the hood

Interactive 2D die map of a 64-core processor showing where parallel speedup is lost: lock contention, cache-coherency traffic, DRAM latency and memory bandwidth, using Gunther's Universal Scalability Law, an average-memory-access-time CPI model and a roofline bandwidth cap, with a live speedup-versus-cores graph.

parallel computingAmdahl's lawuniversal scalability lawcache hierarchyroofline modelperformance engineering

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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