Gain insights into WebAssembly, its compilation techniques, and VM infrastructure. Learn about converting native code, optimizing performance, and integrating Rust for efficient web processing.

PracticalWith2.88.tar.gz

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twiggy version

chp10-02-with twiggy

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WebAssembly, also known as WASM, is a binary instruction format that provides multiple programming languages (C/C++, Ruby, Java, etc.) with a compilation target for smooth web processing. In this course, we’ll learn how to convert native code of different languages into WebAssembly and optimize it for better performance.

This intermediate-level course provides basic information on compilation techniques and VM infrastructure. It discusses converting C/C++ code into WebAssembly and loading the binary in a Node.js browser through tools like Emscripten and emsdk. You will learn the difference between WebAssembly text (WAST) and binary format (WASM). The course will cover step-by-step guidelines for switching between formats such as WASM, WAST, C, and JSON. Additionally, you’ll learn how to use tools provided by Binaryen.

After taking this course, you’ll learn how to integrate Rust into WebAssembly, publish modules, and optimize the memory model.

Practical WebAssembly

So far, we’ve seen how Rust makes it easy to create and run WebAssembly modules, and we’ve also seen various tools provided by the Rust community. Now, we’ll minimize and analyze the memory model of the WebAssembly modules. And we’ll also analyze the WebAssembly with Twiggy.

Get introduced to the concepts we’ll learn in this chapter.

Minimizing and Analyzing: An Important Aspect

Introduction to the Course

Understanding LLVM

Understanding Emscripten

Exploring WebAssembly Modules

Understanding the WebAssembly Binary Toolkit

Understanding Sections in WebAssembly Modules

Exploring Binaryen and Its Tools

Integrating Rust with WebAssembly

Bundling WebAssembly Using wasm-pack

Crossing the Boundary between Rust and WebAssembly

Create an E-Commerce Store in Rust

Optimizing Rust and WebAssembly

Conclusion

Appendix

Minimizing and Analyzing: An Important Aspect

Overview