Standard ML of New Jersey
|Paradigm||multi-paradigm: functional, imperative|
110.83 / June 1, 2018
|Typing discipline||strong, static, inferred|
Standard ML of New Jersey (SML/NJ; Standard Meta-Language of New Jersey) is a compiler and programming environment for the Standard ML programming language . Aside from its runtime system, which is written in C, SML/NJ is written in Standard ML. It was developed jointly by Bell Laboratories and Princeton University.
SML/NJ extends the SML'97 Basis Library with several additional top-level structures:
- System info – this module provides information about the runtime system, such as the Operating System kind, type and version and whether or not the machine supports multiprocessing.
- Weak pointers – a weak pointer is one that is not sufficient to keep an object alive. If a heap value is referenced via ordinary pointers then it will remain alive, but if it is only referenced via weak pointers then it will be garbage collected.
- Lazy suspensions – this module implements the suspensions necessary for lazy evaluation (as opposed to eager evaluation).
- Compiler internals – SML/NJ provides access to several of the compiler internals, including methods to instantiate and modify the signal table.
- Unsafe access – these modules provide unsafe access to data structures and runtime-system functions.
- Compiler modules – SML/NJ also includes a structure that provides control of the ML compiler, which contains substructures for execution profiling, control of compiler error-message printing and warnings, and customizable pretty printing.
Successor ML Features
With the 110.81 release, the evolution of SML/NJ is geared towards evolving the Standard ML Basis library and supporting Successor ML features.
In the current release, the Successor ML features can be enabled using the command-line option -Cparser.succ-ml=true
The Successor ML documents have been extracted from the SML/NJ '97 tex files and made available as a github repository of tex documents which the community is expected to collaborate and grow the language.
In addition, HaMLet has a complete implementation of Successor ML features. The practical knowledge so gained, is being incorporated in SML/NJ as it evolves through its releases.
- Standard ML of New Jersey License. Smlnj.org. Retrieved on 2013-08-11.