W-Mai / wasm3

🚀 The fastest WebAssembly interpreter, and the most universal runtime

Home Page:https://twitter.com/wasm3_engine

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Wasm3 Spec Version

本仓库为特别修改wasm3,用于特殊用途,如无必要,请勿使用

配置

复制一份m3_config_template.h, 命名为m3_config.h,并将其加入编译系统。 重新定义其中的内存操作相关宏。

如使用lvgl的内存分配池,则可配置为:

#include "lvgl/lvgl.h"

#define M3_MALLOC   lv_malloc
#define M3_MEMSET   lv_memset
#define M3_FREE     lv_free
#define M3_MEMCPY   lv_memcpy
#define M3_REALLOC  lv_realloc

其他配置内容,按照需要进行修改。

以下为原文内容:

Wasm3

WAPM GitHub issues Tests status Fuzzing Status GitHub license

The fastest WebAssembly interpreter, and the most universal runtime.
Based on CoreMark 1.0 and independent benchmarks. Your mileage may vary.

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Getting Started

Here's a small getting started guide. Click here to start:

LIVE DEMO

Installation

Please follow the installation instructions.

Wasm3 can also be used as a library for:

Python3 Rust C/C++ GoLang Zig Perl
Swift .Net Arduino, PlatformIO, ParticleQuickJS

Status

wasm3 passes the WebAssembly spec testsuite and is able to run many WASI apps.

Minimum useful system requirements: ~64Kb for code and ~10Kb RAM

wasm3 runs on a wide range of architectures (x86, x86_64, ARM, RISC-V, PowerPC, MIPS, Xtensa, ARC32, ...) and platforms:

  • Linux, Windows, OS X, FreeBSD, Android, iOS
  • OpenWrt, Yocto, Buildroot (routers, modems, etc.)
  • Raspberry Pi, Orange Pi and other SBCs
  • MCUs: Arduino, ESP8266, ESP32, Particle, ... see full list
  • Browsers. Yes, using WebAssembly itself!
  • wasm3 can execute wasm3 (self-hosting)

Features

Webassembly Core Proposals Extra
☑ Import/Export of Mutable Globals ☑ Structured execution tracing
☑ Non-trapping float-to-int conversions ☑ Big-Endian systems support
☑ Sign-extension operators ☑ Wasm and WASI self-hosting
☑ Multi-value ☑ Gas metering
☑ Bulk memory operations (partial support) ☑ Linear memory limit (< 64KiB)
☐ Multiple memories
☐ Reference types
☐ Tail call optimization
☐ Fixed-width SIMD
☐ Exception handling

Motivation

Why use a "slow interpreter" versus a "fast JIT"?

In many situations, speed is not the main concern. Runtime executable size, memory usage, startup latency can be improved with the interpreter approach. Portability and security are much easier to achieve and maintain. Additionally, development impedance is much lower. A simple library like Wasm3 is easy to compile and integrate into an existing project. (Wasm3 builds in a just few seconds). Finally, on some platforms (i.e. iOS and WebAssembly itself) you can't generate executable code pages in runtime, so JIT is unavailable.

Why would you want to run WASM on embedded devices?

Wasm3 started as a research project and remains so by many means. Evaluating the engine in different environments is part of the research. Given that we have Lua, JS, Python, Lisp, ... running on MCUs, WebAssembly is actually a promising alternative. It provides toolchain decoupling as well as a completely sandboxed, well-defined, predictable environment. Among practical use cases we can list edge computing, scripting, plugin systems, running IoT rules, smart contracts, etc.

Used by

Further Resources

Demos
Installation instructions
Cookbook
Troubleshooting
Build and Development instructions
Supported Hardware
Testing & Fuzzing
Performance
Interpreter Architecture
Logging
Awesome WebAssembly Tools

License

This project is released under The MIT License (MIT)

About

🚀 The fastest WebAssembly interpreter, and the most universal runtime

https://twitter.com/wasm3_engine

License:MIT License


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