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WebAssembly 3.0 with Andreas Rossberg

61 min episode · 3 min read
·
Andreas Rossberg

Episode

61 min

Read time

3 min

Topics

Productivity, Remote Work, Design & UX

AI-Generated Summary

Key Takeaways

  • WebAssembly 1.0 Design Philosophy: The initial release targeted existing ASM.JS users with minimal features - four numeric data types, linear byte array memory, and function pointers. This intentionally limited scope enabled quick adoption for C, C++, and Rust codebases while leaving deliberate gaps for multiple values, multiple tables, and multiple memories to be added in future versions without breaking compatibility.
  • Garbage Collection Architecture: Version 3.0 introduces low-level GC supporting only structs and arrays, not high-level objects like Java VM. Languages must map runtime data structures to these primitives, similar to native code compilation. The implementation leverages existing JavaScript garbage collectors in browsers, adding zero overhead for applications that don't use GC features, following the pay-as-you-go principle.
  • Performance Characteristics: WebAssembly excels at numeric computation with near-native performance through ahead-of-time compilation. JavaScript can outperform WebAssembly in dynamic scenarios due to runtime profiling and recompilation. Applications focused primarily on DOM manipulation gain minimal benefit from WebAssembly compilation. The calling overhead between WebAssembly and JavaScript is dominated by actual DOM work, not the boundary crossing itself.
  • Non-Web Use Cases: Edge computing platforms like Fastly, embedded systems at Siemens, and blockchain implementations adopt WebAssembly for three primary reasons - portability across hardware without rebuilding toolchains, strict sandboxing without ambient capabilities, and deterministic execution. The 3.0 deterministic profile ensures identical results across replicated computation environments by eliminating all sources of non-determinism beyond intentional concurrency.
  • Component Model Development: This separate specification layer defines language-agnostic high-level types and advanced module systems for cross-language interoperability. Unlike bare WebAssembly's hardware-like ABI requirements, the component model provides shared-nothing concurrency and standardized interfaces. Work progresses on defining a C ABI for WebAssembly and WASI libraries for operating system abstractions, enabling portable module composition without knowing entire system implementations.

What It Covers

Andreas Rossberg, WebAssembly architect and former Google V8 team member, explores the evolution from version 1.0 through the groundbreaking 3.0 specification. The discussion covers garbage collection integration, multi-language interoperability, reference types, tail calls, and how WebAssembly expanded beyond browser compilation targets into edge computing, embedded systems, blockchain platforms, and deterministic execution environments requiring formal verification.

Key Questions Answered

  • WebAssembly 1.0 Design Philosophy: The initial release targeted existing ASM.JS users with minimal features - four numeric data types, linear byte array memory, and function pointers. This intentionally limited scope enabled quick adoption for C, C++, and Rust codebases while leaving deliberate gaps for multiple values, multiple tables, and multiple memories to be added in future versions without breaking compatibility.
  • Garbage Collection Architecture: Version 3.0 introduces low-level GC supporting only structs and arrays, not high-level objects like Java VM. Languages must map runtime data structures to these primitives, similar to native code compilation. The implementation leverages existing JavaScript garbage collectors in browsers, adding zero overhead for applications that don't use GC features, following the pay-as-you-go principle.
  • Performance Characteristics: WebAssembly excels at numeric computation with near-native performance through ahead-of-time compilation. JavaScript can outperform WebAssembly in dynamic scenarios due to runtime profiling and recompilation. Applications focused primarily on DOM manipulation gain minimal benefit from WebAssembly compilation. The calling overhead between WebAssembly and JavaScript is dominated by actual DOM work, not the boundary crossing itself.
  • Non-Web Use Cases: Edge computing platforms like Fastly, embedded systems at Siemens, and blockchain implementations adopt WebAssembly for three primary reasons - portability across hardware without rebuilding toolchains, strict sandboxing without ambient capabilities, and deterministic execution. The 3.0 deterministic profile ensures identical results across replicated computation environments by eliminating all sources of non-determinism beyond intentional concurrency.
  • Component Model Development: This separate specification layer defines language-agnostic high-level types and advanced module systems for cross-language interoperability. Unlike bare WebAssembly's hardware-like ABI requirements, the component model provides shared-nothing concurrency and standardized interfaces. Work progresses on defining a C ABI for WebAssembly and WASI libraries for operating system abstractions, enabling portable module composition without knowing entire system implementations.
  • Stack Switching via Continuations: The next major feature implements delimited continuations based on effect handlers, enabling efficient compilation of async/await, generators, and green threads. Current workarounds include expensive CPS transformations, trampolining through JavaScript, or brittle manual techniques. Effect handlers allow modular composition of multiple control effects without interference, letting generators suspend entire threads without knowing about thread scheduling logic.

Notable Moment

Rossberg reveals WebAssembly maintains machine-verified mathematical proofs demonstrating zero undefined behavior across the entire specification. The team designed formalization hand-in-hand with implementation, using formal verification as a feedback loop - when formalization becomes difficult, the design likely needs revision. This approach enables potential verification of entire software stacks from hardware through engines to compilers, unprecedented for industrial programming languages.

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Episode Transcript

WebAssembly has grown from a low level compilation target for c and c plus plus into one of the most influential technologies in modern computing. It now powers browser applications, edge compute platforms, embedded systems, and a growing ecosystem of languages targeting a portable and secure execution model. Andreas Rosberg is a programming languages researcher and former member of the v eight team at Google. Andreas helped architect WebAssembly from its earliest concepts through its most recent milestone releases, including the groundbreaking three point o spec that introduces garbage collection, richer reference types, and major steps towards multi language interoperability. In this episode, Andreas joins Kevin Ball to explore the history of WebAssembly, the constraints that shaped its earliest design, the major turning points in versions one, two, and three, and what's coming next for WebAssembly. Kevin Ball or Kay Ball is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He cofounded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI in action discussion group through Latent Space. Check out the show notes to follow Kay Ball on Twitter or LinkedIn, or visit his website, kball.llc. Andreas, welcome to the show. Oh, thank you. Thanks for having me. Yeah. I'm excited to to have this conversation. Let's start a little bit with you. Can you give us a bit of your background and how you got involved with WebAssembly and kind of what took you to where we are today having this conversation? Yeah. It's been a bit of a journey. So I'm I'm a person who's kind of on both sides of the ale in terms of academic and industrial work. So I used to be more like a researcher in programming language, both hardcore theory stuff, but also implementation stuff. At some point, I switched over to industry working for Google, working on the VA team, and that's one side where the whole WebAssembly thing started. So that's how I got involved in that. Let's dive in there. Actually, I I didn't realize you'd done a lot of academic work on theory. So I'm kind of curious maybe as we go along to explore how that has influenced development of WebAssembly. But let's maybe take us on a a quick journey of the history of WebAssembly. I think, you know, if we have web programmers here, they're probably familiar, but not everybody is. So let's let's kind of go through what was the inspiration and and the different stages we've been at coming to today. Okay. Yeah. So a bit of history was that before WebAssembly on the web, we basically only had JavaScript. Right? And it was always clear and common complaint by many people that this is, like, not good enough, and JavaScript has problems as we all know. And if you wanna use other languages, you have to compile to JavaScript, and that's far less than ideal as a …

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Tools

  • WebAssemblyBy guest
    Andreas Rossberg, WebAssembly architect and former Google V8 team member, explores the evolution from version 1.0 through the groundbreaking 3.0 specification.
  • Work progresses on defining a C ABI for WebAssembly and WASI libraries for operating system abstractions
  • by Google

    Andreas Rossberg, WebAssembly architect and former Google V8 team member
  • The initial release targeted existing ASM.JS users with minimal features - four numeric data types, linear byte array memory, and function pointers.

company

  • Edge computing platforms like Fastly, embedded systems at Siemens, and blockchain implementations adopt WebAssembly for three primary reasons
  • Edge computing platforms like Fastly, embedded systems at Siemens, and blockchain implementations adopt WebAssembly for three primary reasons

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