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๐Ÿš€ The fastest WebAssembly interpreter

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Wasm3

WAPM GitHub issues Tests status GitHub license

A high performance WebAssembly interpreter written in C.

โˆผ 15.8x faster than other wasm interpreters (wac, life, wasm-micro-runtime)
โˆผ 4..5x slower than state of the art wasm JIT engines (liftoff, cranelift)
โˆผ 11.5x slower than native execution
* Based on CoreMark 1.0 benchmark. Your mileage may vary.

Getting Started

Here's an online demo and a small getting started guide:

LIVE DEMO

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 platforms:

  • Linux, Windows, OS X
  • Android, iOS
  • OpenWRT-enabled routers
  • Raspberry Pi, Orange Pi and other SBCs
  • MCUs:
    Arduino MKR*, Arduino Due, Particle Photon,
    ESP8266, ESP32, Air602 (W600), nRF52, nRF51,
    Blue Pill (STM32F103C8T6), MXChip AZ3166 (EMW3166),
    Maix (K210), HiFive1 (E310), Fomu (ICE40UP5K), ATmega1284 etc.
  • Browsers... yes, using WebAssembly itself!
  • wasm3 can execute wasm3 (self-hosting)

wasm3 is built on top of Steven Massey's novel interpreter topology, with:

  • Wasm 1.0 spec conformance
  • WASI support
  • Support of x86, x64, ARM, MIPS, RISC-V, Xtensa architectures

Motivation

Why using "slow interpreter", instead of "fast JIT"?

In many situations, speed is not the main concern. Runtime executable size, code density, memory usage, startup latency can be all improved with the interpreter approach. Portability and security are much easier to achieve and maintain. Also 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 microcontrollers?

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 a completely sandboxed, well-defined and predictible environment. Among practical use cases, we can list edge computing, scripting, running IoT rules, blockchain contracts, etc.

Building

See DEV.md

Testing & Fuzzing

See test/README.md

Performance

See PERFORMANCE.md

License

This project is released under The MIT License (MIT)

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