JavaScript has been the de facto language for building web applications for many years. It has evolved significantly, offering better performance and capabilities. However, as web applications become more complex and demanding, JavaScript’s performance limitations can become a bottleneck.
WebAssembly (Wasm) is a binary instruction format designed to provide a low-level virtual machine that can run code at near-native speed. It has been designed as a portable compilation target for high-level languages like C, C++, and Rust, enabling deployment on the web for both client and server applications.
In this article, we will explore how WebAssembly can be used to speed up JavaScript applications, by offloading performance-critical tasks to WebAssembly modules. We will cover:
To use WebAssembly in a JavaScript application, you need to compile your performance-critical code into a .wasm
binary module. This can be done using various tools like Emscripten for C/C++ or Rust’s wasm-pack
for Rust.
Once you have the .wasm
binary module, you can load it in your JavaScript application. Loading a WebAssembly module is an asynchronous operation, and you can use the WebAssembly.instantiateStreaming
function, which takes a Response
object or a Promise
that resolves to a Response
object. Here’s an example:
async function init() {
const response = await fetch('path/to/your/module.wasm');
const { instance } = await WebAssembly.instantiateStreaming(response);
// Access exported functions from the WebAssembly module
const result = instance.exports.yourFunction();
console.log(result);
}
init();
Alternatively, you can use the WebAssembly.instantiate
function, which takes a BufferSource
containing the .wasm
binary code:
async function init() {
const response = await fetch('path/to/your/module.wasm');
const bytes = await response.arrayBuffer();
const { instance } = await WebAssembly.instantiate(bytes);
// Access exported functions from the WebAssembly module
const result = instance.exports.yourFunction();
console.log(result);
}
init();
JavaScript and WebAssembly can communicate through the use of exported functions and imported functions. Exported functions are defined in the WebAssembly module and can be called from JavaScript. Imported functions are defined in JavaScript and can be called from the WebAssembly module.
When you compile your code to WebAssembly, you can define functions that will be accessible from JavaScript. In C/C++, you can use the EMSCRIPTEN_KEEPALIVE
macro, while in Rust, you can use the #[wasm_bindgen]
attribute.
Here’s an example of an exported function in C:
#include <emscripten.h>
EMSCRIPTEN_KEEPALIVE
int add(int a, int b) {
return a + b;
}
And in Rust:
use wasm_bindgen::prelude::*;
#[wasm_bindgen]
pub fn add(a: i32, b: i32) -> i32 {
a + b
}
You can also define functions in JavaScript that can be called from your WebAssembly module. To do this, you need to pass an object with the imported functions when instantiating the WebAssembly module.
Here’s an example of importing a function in JavaScript and using it in a C module:
async function init() {
const response = await fetch('path/to/your/module.wasm');
const bytes = await response.arrayBuffer();
const importObject = {
env: {
jsLog: (message) => {
console.log(`WebAssembly says: ${message}`);
},
},
};
const { instance } = await WebAssembly.instantiate(bytes, importObject);
}
init();
And the corresponding C code:
#include <emscripten.h>
extern void jsLog(int message);
EMSCRIPTEN_KEEPALIVE
void log_message() {
jsLog(42);
}
WebAssembly can offer significant performance improvements for certain tasks, but it’s important to choose the right tasks to offload to WebAssembly. Here are some best practices to keep in mind:
WebAssembly can be a powerful tool to speed up JavaScript applications by offloading performance-critical tasks to a low-level virtual machine that runs code at near-native speed. By integrating WebAssembly modules into your JavaScript application, you can harness the performance benefits of languages like C, C++, and Rust, and improve the overall performance of your web application.
Remember to carefully choose the tasks to offload to WebAssembly, minimize data transfer between JavaScript and WebAssembly, and always profile your code to ensure that you’re getting the maximum performance improvement for your efforts.