We’re happy to announce the inclusion of Javy as a hosted project under the Bytecode Alliance. This post will delve into what Javy is, the motivation behind its adoption, and the process that led to its integration into the Bytecode Alliance. Javy Javy is a JavaScript-to-WebAssembly toolchain originally developed by Shopify to bring JavaScript support to Shopify Functions. It is based on the Quick
マイクロソフトは、Webブラウザ上で2Dや3Dモデルの高速なレンダリングなどを可能にするオープンソースのJavaScriptライブラリ「Babylon.js」の最新版「Babylon.js 6.0」正式版をリリースしました。 We are thrilled to officially announce the release of Babylon.js 6.0! The web just got a WHOLE lot more exciting!https://t.co/q0JVsQaTSd#babylonJS6 #gamedev #indiedev #webdev #Metaverse #3D #webgl #gamedevelopment #IndieGameDev #webdeveloper pic.twitter.com/owV6YLp1zc — Babylon.js (@bab
The JavaScript Promise Integration (JSPI) API allows WebAssembly applications that were written assuming synchronous access to external functionality to operate smoothly in an environment where the functionality is actually asynchronous. This note outlines what the core capabilities of the JSPI API are, how to access it, how to develop software for it and offers some examples to try out. What is ‘
grex is a library that is meant to simplify the often complicated and tedious task of creating regular expressions. It does so by automatically generating a single regular expression from user-provided test cases. The resulting expression is guaranteed to match the test cases which it was generated from. This project has started as a Rust port of the JavaScript tool regexgen written by Devon Govet
# JavaScript Garbage Collection with WebAssembly is Possible Today *by [@bwasti](https://twitter.com/bwasti)* **** tl;dr - Using [WeakRefs](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/WeakRef), you can pretty easily implement automatic memory management for objects exposed from WebAssembly with JavaScript's garbage collector. *(Keep in mind "automatic memory ma
TL;DR JavaScriptとWebAssemblyの間の値渡しには気を使おう(なるべく値のコピーを避けよう)。 JSはとても高速で、単純なループではWASM並の速度が出るので、WASMの使い所はよくよく考えるべき。 はじめに 1000^2級の画像の全ピクセルをループして、(簡単に言うと)RGBA値の最も大きい値を抽出する、という処理をブラウザ上で突然したくなりました。ピクセル数が1,000,000だと、RGBAなので配列長は4,000,000となります。ブラウザで扱いたくないサイズ感です。 ここで、①WASMで高速化、ダメなら②サーバーサイドで計算させる…という算段をして、とりあえずWASMを試してみました。色々チューニングした結果、ブラウザ上で現実的な速度が出ることがわかりました(数十msの世界)。 RGBA値の計算について 本記事では深く説明しませんが、今回やりたい処理は「下記式
At Prime Video, we’re delivering content to millions of customers on more than 8,000 device types, such as gaming consoles, TVs, set-top boxes, and USB-powered streaming sticks. When we want to do an update, every one of those devices requires a separate native release, posing a difficult trade-off between updatability and performance. In the past year, we’ve been using WebAssembly (Wasm), a frame
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