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Frameworks & web · #wasm
Design a PyScript web app by managing package fetching, respecting Same‑Origin limits, and choosing the right WASM runtime. This guide covers architecture, diagnostics, failure modes, and when to shift to a server‑side solution.
A practical guide to deciding whether WebAssembly SIMD (128‑bit) vectors will give you a measurable speed‑up for tight loops, with a concrete dot‑product example, build steps, and compatibility considerations.
WASI turns WebAssembly into a practical server‑side runtime by providing a sandboxed I/O API. Learn how to compile, run, and secure a WASI module with Wasmtime, and understand the trade‑offs for production use.
Learn how to use WebAssembly.instantiateStreaming for efficient, incremental loading of .wasm modules, the MIME‑type requirement, and a robust arrayBuffer fallback for misconfigured servers. Follow the step‑by‑step guide to reduce load times and avoid common deployment pitfalls.
WebAssembly SIMD adds 128‑bit vector types that map to CPU SIMD instructions, giving data‑parallel code a 2‑4× speed‑up in browsers. This guide shows how to compile, test, and fall back when SIMD isn’t available.
Your wasm module works but is slow. A diagnostic walkthrough: profile first, then check build flags, SIMD opcodes, cross-origin isolation headers, and JS boundary overhead — with fixes tied to each finding.
A decision guide for WebAssembly linear memory: compare static, shared, and dynamic strategies; avoid view invalidation traps; implement multi-threading with SharedArrayBuffer and atomics.
Learn how to enable and use WebAssembly SIMD to accelerate data‑parallel loops in the browser, with a concrete example, trade‑offs, and a deployment checklist.
Guide to deciding when to enable WebAssembly threads versus staying single‑threaded, with constraints, a comparison table, trade‑offs, a Rust‑based implementation, and verification steps.
python
rust