NathanEpstein / brooklynjs-3-16-17

Presentation at Brooklyn JS 3/16/17

title: (Mis)adventures with JS Compilers author: name: Nathan Epstein twitter: epstein_n url: http://nepste.in email: [e-mail]

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(Mis)adventures with JS Compilers

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Pavlov.js

• AI library for JS (github.com/nathanepstein/pavlov.js)
• Initially written in ES5
• ... then re-written in ES6 (compiled w/ Babel)
• ... then re-written in C++ (compiled w/ Emscripten)

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Compiling to JavaScript

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Why compile to JS?

• Platform ubiquity (web and otherwise) of JS.

• Features / syntax / libraries / etc. of other languages.

• Performance optimizations (maybe) from the compiler.

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Compiler Basics

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Compilers

• Compilers are used to write syntax in one language and convert it to another (possibly machine executable) computer language.

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AOT and JIT Compiling

• In some languages, high level syntax is compiled to a (possibly optimized) executable before runtime (ahead-of-time compiling).

• Other languages (like JavaScript) are JIT (just-in-time) compiled. This is a hybrid of interpretation and compilation (for heavily used pieces of code).

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Some JS Compilers

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Typescript

A strict superset of JavaScript. Adds optional static typing and class-based object-oriented programming.

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Babel

Compiles ES6 to ES5 allowing for use of: arrow functions classes block scoping "constants" and much more!

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Emscripten

Emscripten is an LLVM-to-JavaScript compiler. Allows for compilation from C / C++ / Rust to optimized JS.

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CoffeeScript

A language that compiles to JS. Provides "nicer" sytanx.

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ClojureScript

A compiler for Clojure which emits JS. Compatible with the advanced compilation mode of the Google Closure optimizing compiler.

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Other Functional Compilers

• Scala.js compiles Scala to optimized JS.

• Several options for Haskell on their wiki under the "The JavaScript Problem".

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Compiling for Performance

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JS Performance

In some cases, we can use a compiler to generate more performant JavaScript then what we are able to produce with "hand written" JS.

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Some things that make JS "slow"

• layout of data in physical memory
• ambiguous functions
• garbage collection
• unoptimized code

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Memory Layout

• In a typed language, elements of an array / vector will typically be stored in contiguous memory.

• This is unlikely to happen in JS because array elements have different types / sizes.

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A Very Serious & Accurate Representation of Physical Memory

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Ambiguous Functions

• Functions with different argument types may have similar syntax but do very different things in physical memory (i.e. let add = (a, b) => a + b;).

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Garbage Collection

• Heap memory is not manually managed; may be reclaimed at unpredictable / undesirable times.

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Unoptimized Code

• "Hand written" code may contain room for optimizations that a compiler can perform (i.e. unnecessary computations and intermediate values, result reuse, memory locality, etc).

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Emscripten

• Allows us to compile LLVM-to-JS (C, C++, Rust).

• Can target WebAssembly or asm.js (optimizable low-level subset of JS).

• asm.js may be AOT or JIT compiled depending on browser.

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What Do We Get?

• Pre-emptive checks for type and linking errors.

• Libraries and syntax associated with the original language.

• Sophisticated performance optimization that goes into the compiler.