WebAssembly: The Future of Browser Calculations
JavaScript is fast, but for heavy mathematical lifting, it wasn't enough. Here's how we use Rust and Wasm to make our calculators run 10x faster.
The web has evolved. It started as a document viewer, grew into an application platform, and is now becoming a high-performance compute target. At the center of this revolution is WebAssembly (Wasm).
When we built the **Calculate** platform, we faced a choice. We could build our complex financial models and statistical simulations in standard TypeScript, or we could look for something more robust. We chose strict type safety and raw speed. We chose Rust compiled to WebAssembly.
The JavaScript Bottleneck
JavaScript engines (like V8 in Chrome or SpiderMonkey in Firefox) are marvels of engineering. JIT (Just-In-Time) compilation allows JS to run incredibly fast. However, it hit limits inherent to the language's dynamic nature:
- Dynamic Typing Overhead: The engine must constantly check the type of variables (Is this a number? An object? A string?).
- Garbage Collection (GC): JS manages memory automatically. This is great for developers but bad for consistent performance. Random GC pauses can cause "jank" in visualizations.
- Boxed Numbers: JavaScript relies heavily on 64-bit floating point numbers (Doubles). Handling 64-bit integers or precise decimals often entails "boxing" them, which consumes more memory and CPU cycles.
Enter WebAssembly
WebAssembly is a binary instruction format for a stack-based virtual machine. It's designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.
Crucially, it is not a replacement for JavaScript. It runs alongside it.
Why Wasm Wins on Math
Our Stack: Rust + Wasm
We write our core calculation logic in Rust. Rust gives us memory safety without a garbage collector, ensuring that our complex financial simulations (like Monte Carlo simulations for retirement planning) run deterministically fast.
Code Example: Fibonacci Benchmark
To illustrate, consider a recursive Fibonacci calculation (the standard "Hello World" of CPU-bound tasks).
#[wasm_bindgen]
pub fn fib(n: u32) -> u32 {
if n <= 1 {
return n;
}
fib(n - 1) + fib(n - 2)
}In our benchmarks, the Wasm version consistently outperforms the JS version by a factor of 1.5x to 3x heavily depending on the browser, but more importantly, the variance in execution time is near zero.
The Future: WASI and Beyond
The browser is just the beginning. The WebAssembly System Interface (WASI) is standardizing how Wasm modules interact with the OS. This implies a future where the exact same high-performance math library we use on our website could run on your server, your phone, or even an embedded device, with zero code changes.