A detailed performance optimization journey for a Spotify artist relationship graph visualization using the Webcola layout library. Starting at 8 FPS, the author progressively optimized to 60+ FPS through: eliminating SVG forced reflow from getBBox() calls, replacing D3/SVG rendering with a PixiJS/WebGL canvas renderer, porting the hot computeDerivatives loop from JavaScript to Rust/WebAssembly, applying SIMD vectorization, using const generics for 2D/3D specialization, and performing CPU-instruction-level profiling via Linux perf integrated with V8. Each optimization step is documented with profiler screenshots and measurable impact, culminating in frame times averaging ~7.25ms.

38m read timeFrom cprimozic.net
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Table of contents
Force Directed GraphsInitial AnalysisEliminating Forced LayoutCustom Canvas-Based RendererOptimizing WebcolaPorting Webcola to Rust + WebAssemblyImprovements to the Wasm PortSprite CachingGoing Deeper: Assembly-Level AnalysisGetting CreativeFinal ResultTakeaways

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