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MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML (Revised), a number of useful language extensions, a complete implementation of the Standard ML Basis Library, various useful libraries, a simple and fast C foreign function interface, the ML Basis system for programming with source libraries, and tools such as a lexer generator, a parser generator, and a profiler.

The programming language ATS unifies implementation with formal specification by accommodating a programmer-centric approach to program verification: How do we know a program being implemented correctly? We ask the programmer to demonstrate it with a proof.

This project is designed to teach begining programers how to program. It implements the best parts of the upper end languges. The compiler is designed to be able to convert into all of the best languges out there, while maintaining speed and power.