dust/README.md

Dust

A programming language that is fast, safe and easy to use.

Dust has a simple, expressive syntax that is easy to read and write. This includes a powerful yet syntactically modest type system with extensive inference capabilities.

The syntax, safety features and evaluation model are inspired by Rust. The instruction set, optimization strategies and virtual machine are inspired by Lua and academic research (see the [Inspiration][] section below). Unlike Rust and other compiled languages, Dust has a very low time to execution. Simple programs compile in milliseconds, even on modest hardware. Unlike Lua and most other interpreted languages, Dust is type-safe, with a simple yet powerful type system that enhances clarity and prevent bugs.

write_line("Enter your name...")

let name = read_line()

write_line("Hello " + name + "!")

Overview

Project Status

Dust is under active development and is not yet ready for general use. Dust is an ambitious project that acts as a continuous experiment in language design. Features may be redesigned and reimplemented at will when they do not meet the project's performance and usability goals. This approach maximizes the development experience as a learning opportunity and enforces a high standard of quality but slows down the process of delivering features to users.

Feature Progress

This list is a rough outline of the features that are planned to be implemented as soon as possible. This is not an exhaustive list of all planned features. This list is updated and rearranged to maintain a docket of what is being worked on, what is coming next and what can be revisited later.

• Lexer
• Compiler
• VM
• Disassembler (for chunk debugging)
• Formatter
• REPL
• CLI
  • Run source
  • Compile source to a chunk and show disassembly
  • Tokenize using the lexer and show token list
  • Format using a built-in formatter
  • Compile to and run from intermediate formats
    • JSON
    • Postcard
  • Integrated REPL
• Basic Values
  • No null or undefined values
  • Booleans
  • Bytes (unsigned 8-bit)
  • Characters (Unicode scalar value)
  • Floats (64-bit)
  • Functions
  • Integers (signed 64-bit)
  • Strings (UTF-8)
• Composite Values
  • Concrete lists
  • Abstract lists (optimization)
  • Concrete maps
  • Abstract maps (optimization)
  • Ranges
  • Tuples (fixed-size constant lists)
  • Structs
  • Enums
• Types
  • Basic types for each kind of basic value
  • Generalized types: num, any, none
  • struct types
  • enum types
  • Type aliases
  • Type arguments
  • Compile-time type checking
    • Function returns
    • If/Else branches
    • Instruction arguments
• Variables
  • Immutable by default
  • Block scope
  • Statically typed
  • Copy-free identifiers are stored in the chunk as string constants
• Functions
  • First-class value
  • Statically typed arguments and returns
  • Pure (no "closure" of local variables, arguments are the only input)
  • Type arguments
• Control Flow
  • If/Else
  • Loops
    • for
    • loop
    • while
  • Match

Implementation

Dust is implemented in Rust and is divided into several parts, most importantly the lexer, compiler, and virtual machine. All of Dust's components are designed with performance in mind and the codebase uses as few dependencies as possible. The code is tested by integration tests that compile source code and check the compiled chunk, then run the source and check the output of the virtual machine. It is important to maintain a high level of quality by writing meaningful tests and preferring to compile and run programs in an optimal way before adding new features.

Lexer and Tokens

The lexer emits tokens from the source code. Dust makes extensive use of Rust's zero-copy capabilities to avoid unnecessary allocations when creating tokens. A token, depending on its type, may contain a reference to some data from the source code. The data is only copied in the case of an error. In a successfully executed program, no part of the source code is copied unless it is a string literal or identifier.

Compiler

The compiler creates a chunk, which contains all of the data needed by the virtual machine to run a Dust program. It does so by emitting bytecode instructions, constants and locals while parsing the tokens, which are generated one at a time by the lexer.

Parsing

Dust's compiler uses a custom Pratt parser, a kind of recursive descent parser, to translate a sequence of tokens into a chunk. Each token is given a precedence and may have a prefix and/or infix parser. The parsers are just functions that modify the compiler and its output. For example, when the compiler encounters a boolean token, its prefix parser is the parse_boolean function, which emits a LoadBoolean instruction. An integer token's prefix parser is parse_integer, which emits a LoadConstant instruction and adds the integer to the constant list. Tokens with infix parsers include the math operators, which emit Add, Subtract, Multiply, Divide, and Modulo instructions.

Functions are compiled into their own chunks, which are stored in the constant list. A function's arguments are stored in the locals list. The VM must later bind the arguments to runtime values by assigning each argument a register and associating the register with the local.

Optimizing

When generating instructions for a register-based virtual machine, there are opportunities to optimize the generated code by using fewer instructions or fewer registers. While it is best to output optimal code in the first place, it is not always possible. Dust's compiler modifies the instruction list during parsing to apply optimizations before the chunk is completed. There is no separate optimization pass, and the compiler cannot be run in a mode that disables optimizations.

Type Checking

Dust's compiler associates each emitted instruction with a type. This allows the compiler to enforce compatibility when values are used in expressions. For example, the compiler will not allow a string to be added to an integer, but it will allow either to be added to another of the same type. Aside from instruction arguments, the compiler also checks the types of function arguments and the blocks of if/else statements.

The compiler always checks types on the fly, so there is no need for a separate type-checking pass.

Instructions

Dust's virtual machine uses 32-bit instructions, which encode seven pieces of information:

Bit	Description
0-4	Operation code
5	Flag indicating if the B field is a constant
6	Flag indicating if the C field is a constant
7	D field (boolean)
8-15	A field (unsigned 8-bit integer)
16-23	B field (unsigned 8-bit integer)
24-31	C field (unsigned 8-bit integer)

Operations

The 1.0 version of Dust will have more than the current number of operations but cannot exceed 32 because of the 5 bit format.

Stack manipulation

• MOVE: Makes a register's value available in another register by using a pointer. This avoids copying the value or invalidating the original register.
• CLOSE: Sets a range of registers to the "empty" state.

Value loaders

• LOAD_BOOLEAN: Loads a boolean to a register. Booleans known at compile-time are not stored in the constant list. Instead, they are encoded in the instruction itself.
• LOAD_CONSTANT: Loads a constant from the constant list to a register. The VM avoids copying the constant by using a pointer with the constant's index.
• LOAD_LIST: Creates a list abstraction from a range of registers and loads it to a register.
• LOAD_MAP: Creates a map abstraction from a range of registers and loads it to a register.
• LOAD_SELF: Creates an abstraction that represents the current function and loads it to a register.

Variable operations

• GET_LOCAL: Loads a variable's value to a register by using a pointer to point to the variable's canonical register (i.e. the register whose index is stored in the locals list).
• SET_LOCAL: Changes a variable's register to a pointer to another register, effectively changing the variable's value.

Arithmetic

Arithmetic instructions use every field except for D. The A field is the destination register, the B and C fields are the arguments, and the flags indicate whether the arguments are constants.

• ADD: Adds two values and stores the result in a register. Unlike the other arithmetic operations, the ADD instruction can also be used to concatenate strings and characters.
• SUBTRACT: Subtracts one argument from another and stores the result in a register.
• MULTIPLY: Multiplies two arguments and stores the result in a register.
• DIVIDE: Divides one value by another and stores the result in a register.
• MODULO: Calculates the division remainder of two values and stores the result in a register.
• POWER: Raises one value to the power of another and stores the result in a register.

Logic

Logic instructions work differently from arithmetic and comparison instructions, but they are still essentially binary operations with a left and a right argument. Rather than performing some calculation and storing a result, the logic instructions perform a check on the left-hand argument and, based on the result, either skip the right-hand argument or allow it to be executed. A TEST is always followed by a JUMP. If the left argument passes the test (a boolean equality check), the JUMP instruction is skipped and the right argument is executed. If the left argument fails the test, the JUMP is not skipped and it jumps past the right argument.

• TEST
• TEST_SET

Comparison

• EQUAL
• LESS
• LESS_EQUAL

Unary operations

• NEGATE
• NOT

Execution

• CALL
• CALL_NATIVE
• JUMP
• RETURN

The A, B, and C fields are used for usually used as indexes into the constant list or stack, but they can also hold other information, like the number of arguments for a function call.

Virtual Machine

The virtual machine is simple and efficient. It uses a stack of registers, which can hold values or pointers. Pointers can point to values in the constant list or the stack itself.

While the compiler has multiple responsibilities that warrant more complexity, the VM is simple enough to use a very straightforward design. The VM's run function uses a simple while loop with a match statement to execute instructions. When it reaches a Return instruction, it breaks the loop and optionally returns a value.

Previous Implementations

Dust has gone through several iterations, each with its own design choices. It was originally implemented with a syntax tree generated by an external parser, then a parser generator, and finally a custom parser. Eventually the language was rewritten to use bytecode instructions and a virtual machine. The current implementation is by far the most performant and the general design is unlikely to change.

Dust previously had a more complex type system with type arguments (or "generics") and a simple model for asynchronous execution of statements. Both of these features were removed to simplify the language when it was rewritten to use bytecode instructions. Both features are planned to be reintroduced in the future.

Inspiration

Crafting Interpreters by Bob Nystrom was a great resource for writing the compiler, especially the Pratt parser. The book is a great introduction to writing interpreters. Had it been discovered sooner, some early implementations of Dust would have been both simpler in design and more ambitious in scope.

The Implementation of Lua 5.0 by Roberto Ierusalimschy, Luiz Henrique de Figueiredo, and Waldemar Celes was a great resource for understanding register-based virtual machines and their instructions. This paper was recommended by Bob Nystrom in Crafting Interpreters.

A No-Frills Introduction to Lua 5.1 VM Instructions by Kein-Hong Man has a wealth of detailed information on how Lua uses terse instructions to create dense chunks that execute quickly. This was essential in the design of Dust's instructions. Dust uses compile-time optimizations that are based on Lua optimizations covered in this paper.

[A Performance Survey on Stack-based and Register-based Virtual Machines] by Ruijie Fang and Siqi Liup was helpful for a quick yet efficient primer on getting stack-based and register-based virtual machines up and running. The included code examples show how to implement both types of VMs in C. The performance comparison between the two types of VMs is worth reading for anyone who is trying to choose between the two. Some of the benchmarks described in the paper inspired similar benchmarks used in this project to compare Dust to other languages.

License

Dust is licensed under the GNU General Public License v3.0. See the LICENSE file for details.