SIMD & Multithreading for Maximum Throughput
Squeeze more speed out of WASM using SIMD vector instructions and multithreading with Web Workers and shared memory.
Beyond Single-Threaded Speed
Once your WASM is optimized and benchmarked, two advanced features unlock another level of throughput:
- SIMD, do many operations at once
- Multithreading, run work in parallel
Both can dramatically speed up data-heavy workloads.
What Is SIMD?
SIMD stands for Single Instruction, Multiple Data. One instruction processes a whole vector of values, for example adding four floats in a single step.
Great for image processing, audio, math, and ML.
All lessons in this course
- Benchmarking WASM Performance
- Optimizing Rust Code for WASM
- Debugging WebAssembly Modules
- SIMD & Multithreading for Maximum Throughput