Optimizing WebAssembly for Performance

Enhancing execution speed and reducing memory footprint in WebAssembly modules

July 5, 2025
6-minute read

🧠 Memory Optimization

WebAssembly memory management is crucial for performance. Here are some proven strategies:

Linear Memory

Use WebAssembly's linear memory efficiently by pre-allocating memory and minimizing garbage collection overhead.

Packed Primitives

Use smaller data types like i8 or i16 when possible to reduce memory footprint.

Memory Bounds

Define memory limits and use fixed arrays for predictable memory layout.


// Rust example using wasmer
use wasmer::Memory;
let mut memory = Memory::new(store, MemoryType::new(1, Some(2), false))?;
let buffer = [0u8; 64 * 1024];
memory.write(0, &buffer)?;

📦 Code Size Reduction

Smaller code size improves load times and reduces memory usage:

  • Enable optimization flags in your WebAssembly toolchain
  • Use tree-shaking to remove unused code paths
  • Apply dead code elimination during the build process
  • Optimize for size using --Oz option
Pro Tip: For Emscripten users, add these build flags to reduce size:
emcc -Oz --closure 1 -s EXPORTED_FUNCTIONS='[]'

// Example with clang optimizer
clang -O3 -flto -fwhole-program -Oz -Wl,-O3 -Wl,--gc-sections ...

🚀 Execution Optimization

These techniques significantly improve runtime performance:

SIMD Instructions

Use WebAssembly's SIMD extensions for parallel operations. Can speed up computations by 5-30x.

FunctionInlining

Inlining small functions reduces call overhead. Most effective for operations under 30 bytes.

🛠 Recommended Tooling

wasm-opt

The official WebAssembly optimizer from Wasi.

wasm-merge

Combine multiple modules into single optimized units.

wasm-strip

Remove debugging and metadata for minimal distributions.

Other Performance Articles

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