WebAssembly Performance

Techniques for reducing WASM binary size and maximizing runtime performance.

When to Activate

• Binary is too large for acceptable load time
• Profiling reveals WASM execution bottlenecks
• Memory usage is growing unexpectedly
• Implementing compute-intensive features in WASM
• Enabling SIMD or multi-threading for heavy workloads
• Reducing JS↔Wasm boundary crossings by batching calls or sharing linear memory directly
• Using twiggy or cargo-bloat to identify which crate or function is dominating binary size

Binary Size Optimization

Cargo Profile (highest impact)