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[bpt/guile.git] / doc / ref / compiler.texi

@c -*-texinfo-*-
@c This is part of the GNU Guile Reference Manual.
@c Copyright (C)  2008, 2009, 2010
@c   Free Software Foundation, Inc.
@c See the file guile.texi for copying conditions.

@node Compiling to the Virtual Machine
@section Compiling to the Virtual Machine

Compilers have a mystique about them that is attractive and
off-putting at the same time. They are attractive because they are
magical -- they transform inert text into live results, like throwing
the switch on Frankenstein's monster. However, this magic is perceived
by many to be impenetrable.

This section aims to pay attention to the small man behind the
curtain.

@xref{Read/Load/Eval/Compile}, if you're lost and you just wanted to
know how to compile your @code{.scm} file.

@menu
* Compiler Tower::                   
* The Scheme Compiler::                   
* Tree-IL::                 
* GLIL::                
* Assembly::                   
* Bytecode and Objcode::                   
* Writing New High-Level Languages::
* Extending the Compiler::
@end menu

@node Compiler Tower
@subsection Compiler Tower

Guile's compiler is quite simple, actually -- its @emph{compilers}, to
put it more accurately. Guile defines a tower of languages, starting
at Scheme and progressively simplifying down to languages that
resemble the VM instruction set (@pxref{Instruction Set}).

Each language knows how to compile to the next, so each step is simple
and understandable. Furthermore, this set of languages is not
hardcoded into Guile, so it is possible for the user to add new
high-level languages, new passes, or even different compilation
targets.

Languages are registered in the module, @code{(system base language)}:

@example
(use-modules (system base language))
@end example

They are registered with the @code{define-language} form.

@deffn {Scheme Syntax} define-language @
name title reader printer @
[parser=#f] [compilers='()] [decompilers='()] [evaluator=#f] @
[joiner=#f] [make-default-environment=make-fresh-user-module]
Define a language.

This syntax defines a @code{#<language>} object, bound to @var{name}
in the current environment. In addition, the language will be added to
the global language set. For example, this is the language definition
for Scheme:

@example
(define-language scheme
  #:title	"Scheme"
  #:reader      (lambda (port env) ...)
  #:compilers   `((tree-il . ,compile-tree-il))
  #:decompilers `((tree-il . ,decompile-tree-il))
  #:evaluator	(lambda (x module) (primitive-eval x))
  #:printer	write
  #:make-default-environment (lambda () ...))
@end example
@end deffn

The interesting thing about having languages defined this way is that
they present a uniform interface to the read-eval-print loop. This
allows the user to change the current language of the REPL:

@example
scheme@@(guile-user)> ,language tree-il
Happy hacking with Tree Intermediate Language!  To switch back, type `,L scheme'.
tree-il@@(guile-user)> ,L scheme
Happy hacking with Scheme!  To switch back, type `,L tree-il'.
scheme@@(guile-user)> 
@end example

Languages can be looked up by name, as they were above.

@deffn {Scheme Procedure} lookup-language name
Looks up a language named @var{name}, autoloading it if necessary.

Languages are autoloaded by looking for a variable named @var{name} in
a module named @code{(language @var{name} spec)}.

The language object will be returned, or @code{#f} if there does not
exist a language with that name.
@end deffn

Defining languages this way allows us to programmatically determine
the necessary steps for compiling code from one language to another.

@deffn {Scheme Procedure} lookup-compilation-order from to
Recursively traverses the set of languages to which @var{from} can
compile, depth-first, and return the first path that can transform
@var{from} to @var{to}. Returns @code{#f} if no path is found.

This function memoizes its results in a cache that is invalidated by
subsequent calls to @code{define-language}, so it should be quite
fast.
@end deffn

There is a notion of a ``current language'', which is maintained in
the @code{*current-language*} fluid. This language is normally Scheme,
and may be rebound by the user. The run-time compilation interfaces
(@pxref{Read/Load/Eval/Compile}) also allow you to choose other source
and target languages.

The normal tower of languages when compiling Scheme goes like this:

@itemize
@item Scheme
@item Tree Intermediate Language (Tree-IL)
@item Guile Lowlevel Intermediate Language (GLIL)
@item Assembly
@item Bytecode
@item Objcode
@end itemize

Object code may be serialized to disk directly, though it has a cookie
and version prepended to the front. But when compiling Scheme at run
time, you want a Scheme value: for example, a compiled procedure. For
this reason, so as not to break the abstraction, Guile defines a fake
language at the bottom of the tower:

@itemize
@item Value
@end itemize

Compiling to @code{value} loads the object code into a procedure, and
wakes the sleeping giant.

Perhaps this strangeness can be explained by example:
@code{compile-file} defaults to compiling to object code, because it
produces object code that has to live in the barren world outside the
Guile runtime; but @code{compile} defaults to compiling to
@code{value}, as its product re-enters the Guile world.

Indeed, the process of compilation can circulate through these
different worlds indefinitely, as shown by the following quine:

@example
((lambda (x) ((compile x) x)) '(lambda (x) ((compile x) x)))
@end example

@node The Scheme Compiler
@subsection The Scheme Compiler

The job of the Scheme compiler is to expand all macros and all of
Scheme to its most primitive expressions. The definition of
``primitive'' is given by the inventory of constructs provided by
Tree-IL, the target language of the Scheme compiler: procedure
applications, conditionals, lexical references, etc. This is described
more fully in the next section.

The tricky and amusing thing about the Scheme-to-Tree-IL compiler is
that it is completely implemented by the macro expander. Since the
macro expander has to run over all of the source code already in order
to expand macros, it might as well do the analysis at the same time,
producing Tree-IL expressions directly.

Because this compiler is actually the macro expander, it is
extensible. Any macro which the user writes becomes part of the
compiler.

The Scheme-to-Tree-IL expander may be invoked using the generic
@code{compile} procedure:

@lisp
(compile '(+ 1 2) #:from 'scheme #:to 'tree-il)
@result{}
 #<<application> src: #f
                 proc: #<<toplevel-ref> src: #f name: +>
                 args: (#<<const> src: #f exp: 1>
                        #<<const> src: #f exp: 2>)>
@end lisp

Or, since Tree-IL is so close to Scheme, it is often useful to expand
Scheme to Tree-IL, then translate back to Scheme. For that reason the
expander provides two interfaces. The former is equivalent to calling
@code{(macroexpand '(+ 1 2) 'c)}, where the @code{'c} is for
``compile''. With @code{'e} (the default), the result is translated
back to Scheme:

@lisp
(macroexpand '(+ 1 2))
@result{} (+ 1 2)
(macroexpand '(let ((x 10)) (* x x)))
@result{} (let ((x84 10)) (* x84 x84))
@end lisp

The second example shows that as part of its job, the macro expander
renames lexically-bound variables. The original names are preserved
when compiling to Tree-IL, but can't be represented in Scheme: a
lexical binding only has one name. It is for this reason that the
@emph{native} output of the expander is @emph{not} Scheme. There's too
much information we would lose if we translated to Scheme directly:
lexical variable names, source locations, and module hygiene.

Note however that @code{macroexpand} does not have the same signature
as @code{compile-tree-il}. @code{compile-tree-il} is a small wrapper
around @code{macroexpand}, to make it conform to the general form of
compiler procedures in Guile's language tower.

Compiler procedures take three arguments: an expression, an
environment, and a keyword list of options. They return three values:
the compiled expression, the corresponding environment for the target
language, and a ``continuation environment''. The compiled expression
and environment will serve as input to the next language's compiler.
The ``continuation environment'' can be used to compile another
expression from the same source language within the same module.

For example, you might compile the expression, @code{(define-module
(foo))}. This will result in a Tree-IL expression and environment. But
if you compiled a second expression, you would want to take into
account the compile-time effect of compiling the previous expression,
which puts the user in the @code{(foo)} module. That is purpose of the
``continuation environment''; you would pass it as the environment
when compiling the subsequent expression.

For Scheme, an environment is a module. By default, the @code{compile}
and @code{compile-file} procedures compile in a fresh module, such
that bindings and macros introduced by the expression being compiled
are isolated:

@example
(eq? (current-module) (compile '(current-module)))
@result{} #f

(compile '(define hello 'world))
(defined? 'hello)
@result{} #f

(define / *)
(eq? (compile '/) /)
@result{} #f
@end example

Similarly, changes to the @code{current-reader} fluid (@pxref{Loading,
@code{current-reader}}) are isolated:

@example
(compile '(fluid-set! current-reader (lambda args 'fail)))
(fluid-ref current-reader)
@result{} #f
@end example

Nevertheless, having the compiler and @dfn{compilee} share the same name
space can be achieved by explicitly passing @code{(current-module)} as
the compilation environment:

@example
(define hello 'world)
(compile 'hello #:env (current-module))
@result{} world
@end example

@node Tree-IL
@subsection Tree-IL

Tree Intermediate Language (Tree-IL) is a structured intermediate
language that is close in expressive power to Scheme. It is an
expanded, pre-analyzed Scheme.

Tree-IL is ``structured'' in the sense that its representation is
based on records, not S-expressions. This gives a rigidity to the
language that ensures that compiling to a lower-level language only
requires a limited set of transformations. For example, the Tree-IL
type @code{<const>} is a record type with two fields, @code{src} and
@code{exp}. Instances of this type are created via @code{make-const}.
Fields of this type are accessed via the @code{const-src} and
@code{const-exp} procedures. There is also a predicate, @code{const?}.
@xref{Records}, for more information on records.

@c alpha renaming

All Tree-IL types have a @code{src} slot, which holds source location
information for the expression. This information, if present, will be
residualized into the compiled object code, allowing backtraces to
show source information. The format of @code{src} is the same as that
returned by Guile's @code{source-properties} function. @xref{Source
Properties}, for more information.

Although Tree-IL objects are represented internally using records,
there is also an equivalent S-expression external representation for
each kind of Tree-IL. For example, the S-expression representation
of @code{#<const src: #f exp: 3>} expression would be:

@example
(const 3)
@end example

Users may program with this format directly at the REPL:

@example
scheme@@(guile-user)> ,language tree-il
Happy hacking with Tree Intermediate Language!  To switch back, type `,L scheme'.
tree-il@@(guile-user)> (apply (primitive +) (const 32) (const 10))
@result{} 42
@end example

The @code{src} fields are left out of the external representation.

One may create Tree-IL objects from their external representations via
calling @code{parse-tree-il}, the reader for Tree-IL. If any source
information is attached to the input S-expression, it will be
propagated to the resulting Tree-IL expressions. This is probably the
easiest way to compile to Tree-IL: just make the appropriate external
representations in S-expression format, and let @code{parse-tree-il}
take care of the rest.

@deftp {Scheme Variable} <void> src
@deftpx {External Representation} (void)
An empty expression. In practice, equivalent to Scheme's @code{(if #f
#f)}.
@end deftp
@deftp {Scheme Variable} <const> src exp
@deftpx {External Representation} (const @var{exp})
A constant.
@end deftp
@deftp {Scheme Variable} <primitive-ref> src name
@deftpx {External Representation} (primitive @var{name})
A reference to a ``primitive''. A primitive is a procedure that, when
compiled, may be open-coded. For example, @code{cons} is usually
recognized as a primitive, so that it compiles down to a single
instruction.

Compilation of Tree-IL usually begins with a pass that resolves some
@code{<module-ref>} and @code{<toplevel-ref>} expressions to
@code{<primitive-ref>} expressions. The actual compilation pass
has special cases for applications of certain primitives, like
@code{apply} or @code{cons}.
@end deftp
@deftp {Scheme Variable} <lexical-ref> src name gensym
@deftpx {External Representation} (lexical @var{name} @var{gensym})
A reference to a lexically-bound variable. The @var{name} is the
original name of the variable in the source program. @var{gensym} is a
unique identifier for this variable.
@end deftp
@deftp {Scheme Variable} <lexical-set> src name gensym exp
@deftpx {External Representation} (set! (lexical @var{name} @var{gensym}) @var{exp})
Sets a lexically-bound variable.
@end deftp
@deftp {Scheme Variable} <module-ref> src mod name public?
@deftpx {External Representation} (@@ @var{mod} @var{name})
@deftpx {External Representation} (@@@@ @var{mod} @var{name})
A reference to a variable in a specific module. @var{mod} should be
the name of the module, e.g.@: @code{(guile-user)}.

If @var{public?} is true, the variable named @var{name} will be looked
up in @var{mod}'s public interface, and serialized with @code{@@};
otherwise it will be looked up among the module's private bindings,
and is serialized with @code{@@@@}.
@end deftp
@deftp {Scheme Variable} <module-set> src mod name public? exp
@deftpx {External Representation} (set! (@@ @var{mod} @var{name}) @var{exp})
@deftpx {External Representation} (set! (@@@@ @var{mod} @var{name}) @var{exp})
Sets a variable in a specific module.
@end deftp
@deftp {Scheme Variable} <toplevel-ref> src name
@deftpx {External Representation} (toplevel @var{name})
References a variable from the current procedure's module.
@end deftp
@deftp {Scheme Variable} <toplevel-set> src name exp
@deftpx {External Representation} (set! (toplevel @var{name}) @var{exp})
Sets a variable in the current procedure's module.
@end deftp
@deftp {Scheme Variable} <toplevel-define> src name exp
@deftpx {External Representation} (define (toplevel @var{name}) @var{exp})
Defines a new top-level variable in the current procedure's module.
@end deftp
@deftp {Scheme Variable} <conditional> src test then else
@deftpx {External Representation} (if @var{test} @var{then} @var{else})
A conditional. Note that @var{else} is not optional.
@end deftp
@deftp {Scheme Variable} <application> src proc args
@deftpx {External Representation} (apply @var{proc} . @var{args})
A procedure call.
@end deftp
@deftp {Scheme Variable} <sequence> src exps
@deftpx {External Representation} (begin . @var{exps})
Like Scheme's @code{begin}.
@end deftp
@deftp {Scheme Variable} <lambda> src meta body
@deftpx {External Representation} (lambda @var{meta} @var{body})
A closure. @var{meta} is an association list of properties for the
procedure. @var{body} is a single Tree-IL expression of type
@code{<lambda-case>}. As the @code{<lambda-case>} clause can chain to
an alternate clause, this makes Tree-IL's @code{<lambda>} have the
expressiveness of Scheme's @code{case-lambda}.
@end deftp
@deftp {Scheme Variable} <lambda-case> req opt rest kw inits gensyms body alternate
@deftpx {External Representation} @
  (lambda-case ((@var{req} @var{opt} @var{rest} @var{kw} @var{inits} @var{gensyms})@
                @var{body})@
               [@var{alternate}])
One clause of a @code{case-lambda}. A @code{lambda} expression in
Scheme is treated as a @code{case-lambda} with one clause.

@var{req} is a list of the procedure's required arguments, as symbols.
@var{opt} is a list of the optional arguments, or @code{#f} if there
are no optional arguments. @var{rest} is the name of the rest
argument, or @code{#f}.

@var{kw} is a list of the form, @code{(@var{allow-other-keys?}
(@var{keyword} @var{name} @var{var}) ...)}, where @var{keyword} is the
keyword corresponding to the argument named @var{name}, and whose
corresponding gensym is @var{var}. @var{inits} are tree-il expressions
corresponding to all of the optional and keyword arguments, evaluated
to bind variables whose value is not supplied by the procedure caller.
Each @var{init} expression is evaluated in the lexical context of
previously bound variables, from left to right.

@var{gensyms} is a list of gensyms corresponding to all arguments:
first all of the required arguments, then the optional arguments if
any, then the rest argument if any, then all of the keyword arguments.

@var{body} is the body of the clause. If the procedure is called with
an appropriate number of arguments, @var{body} is evaluated in tail
position. Otherwise, if there is a @var{consequent}, it should be a
@code{<lambda-case>} expression, representing the next clause to try.
If there is no @var{consequent}, a wrong-number-of-arguments error is
signaled.
@end deftp
@deftp {Scheme Variable} <let> src names gensyms vals exp
@deftpx {External Representation} (let @var{names} @var{gensyms} @var{vals} @var{exp})
Lexical binding, like Scheme's @code{let}. @var{names} are the
original binding names, @var{gensyms} are gensyms corresponding to the
@var{names}, and @var{vals} are Tree-IL expressions for the values.
@var{exp} is a single Tree-IL expression.
@end deftp
@deftp {Scheme Variable} <letrec> in-order? src names gensyms vals exp
@deftpx {External Representation} (letrec @var{names} @var{gensyms} @var{vals} @var{exp})
@deftpx {External Representation} (letrec* @var{names} @var{gensyms} @var{vals} @var{exp})
A version of @code{<let>} that creates recursive bindings, like
Scheme's @code{letrec}, or @code{letrec*} if @var{in-order?} is true.
@end deftp
@deftp {Scheme Variable} <dynlet> fluids vals body
@deftpx {External Representation} (dynlet @var{fluids} @var{vals} @var{body})
Dynamic binding; the equivalent of Scheme's @code{with-fluids}.
@var{fluids} should be a list of Tree-IL expressions that will
evaluate to fluids, and @var{vals} a corresponding list of expressions
to bind to the fluids during the dynamic extent of the evaluation of
@var{body}.
@end deftp
@deftp {Scheme Variable} <dynref> fluid
@deftpx {External Representation} (dynref @var{fluid})
A dynamic variable reference. @var{fluid} should be a Tree-IL
expression evaluating to a fluid.
@end deftp
@deftp {Scheme Variable} <dynset> fluid exp
@deftpx {External Representation} (dynset @var{fluid} @var{exp})
A dynamic variable set. @var{fluid}, a Tree-IL expression evaluating
to a fluid, will be set to the result of evaluating @var{exp}.
@end deftp
@deftp {Scheme Variable} <dynwind> winder body unwinder
@deftpx {External Representation} (dynwind @var{winder} @var{body} @var{unwinder})
A @code{dynamic-wind}. @var{winder} and @var{unwinder} should both
evaluate to thunks. Ensure that the winder and the unwinder are called
before entering and after leaving @var{body}. Note that @var{body} is
an expression, without a thunk wrapper.
@end deftp
@deftp {Scheme Variable} <prompt> tag body handler
@deftpx {External Representation} (prompt @var{tag} @var{body} @var{handler})
A dynamic prompt. Instates a prompt named @var{tag}, an expression,
during the dynamic extent of the execution of @var{body}, also an
expression. If an abort occurs to this prompt, control will be passed
to @var{handler}, a @code{<lambda-case>} expression with no optional
or keyword arguments, and no alternate. The first argument to the
@code{<lambda-case>} will be the captured continuation, and then all
of the values passed to the abort. @xref{Prompts}, for more
information.
@end deftp
@deftp {Scheme Variable} <abort> tag args tail
@deftpx {External Representation} (abort @var{tag} @var{args} @var{tail})
An abort to the nearest prompt with the name @var{tag}, an expression.
@var{args} should be a list of expressions to pass to the prompt's
handler, and @var{tail} should be an expression that will evaluate to
a list of additional arguments. An abort will save the partial
continuation, which may later be reinstated, resulting in the
@code{<abort>} expression evaluating to some number of values.
@end deftp

There are two Tree-IL constructs that are not normally produced by
higher-level compilers, but instead are generated during the
source-to-source optimization and analysis passes that the Tree-IL
compiler does. Users should not generate these expressions directly,
unless they feel very clever, as the default analysis pass will
generate them as necessary.

@deftp {Scheme Variable} <let-values> src names gensyms exp body
@deftpx {External Representation} (let-values @var{names} @var{gensyms} @var{exp} @var{body})
Like Scheme's @code{receive} -- binds the values returned by
evaluating @code{exp} to the @code{lambda}-like bindings described by
@var{gensyms}. That is to say, @var{gensyms} may be an improper list.

@code{<let-values>} is an optimization of @code{<application>} of the
primitive, @code{call-with-values}.
@end deftp
@deftp {Scheme Variable} <fix> src names gensyms vals body
@deftpx {External Representation} (fix @var{names} @var{gensyms} @var{vals} @var{body})
Like @code{<letrec>}, but only for @var{vals} that are unset
@code{lambda} expressions.

@code{fix} is an optimization of @code{letrec} (and @code{let}).
@end deftp

Tree-IL implements a compiler to GLIL that recursively traverses
Tree-IL expressions, writing out GLIL expressions into a linear list.
The compiler also keeps some state as to whether the current
expression is in tail context, and whether its value will be used in
future computations. This state allows the compiler not to emit code
for constant expressions that will not be used (e.g.@: docstrings), and
to perform tail calls when in tail position.

Most optimization, such as it currently is, is performed on Tree-IL
expressions as source-to-source transformations. There will be more
optimizations added in the future.

Interested readers are encouraged to read the implementation in
@code{(language tree-il compile-glil)} for more details.

@node GLIL
@subsection GLIL

Guile Lowlevel Intermediate Language (GLIL) is a structured intermediate
language whose expressions more closely approximate Guile's VM
instruction set. Its expression types are defined in @code{(language
glil)}.

@deftp {Scheme Variable} <glil-program> meta . body
A unit of code that at run-time will correspond to a compiled
procedure. @var{meta} should be an alist of properties, as in
Tree-IL's @code{<lambda>}. @var{body} is an ordered list of GLIL
expressions.
@end deftp
@deftp {Scheme Variable} <glil-std-prelude> nreq nlocs else-label
A prologue for a function with no optional, keyword, or rest
arguments. @var{nreq} is the number of required arguments. @var{nlocs}
the total number of local variables, including the arguments. If the
procedure was not given exactly @var{nreq} arguments, control will
jump to @var{else-label}, if given, or otherwise signal an error.
@end deftp
@deftp {Scheme Variable} <glil-opt-prelude> nreq nopt rest nlocs else-label
A prologue for a function with optional or rest arguments. Like
@code{<glil-std-prelude>}, with the addition that @var{nopt} is the
number of optional arguments (possibly zero) and @var{rest} is an
index of a local variable at which to bind a rest argument, or
@code{#f} if there is no rest argument.
@end deftp
@deftp {Scheme Variable} <glil-kw-prelude> nreq nopt rest kw allow-other-keys? nlocs else-label
A prologue for a function with keyword arguments. Like
@code{<glil-opt-prelude>}, with the addition that @var{kw} is a list
of keyword arguments, and @var{allow-other-keys?} is a flag indicating
whether to allow unknown keys. @xref{Function Prologue Instructions,
@code{bind-kwargs}}, for details on the format of @var{kw}.
@end deftp
@deftp {Scheme Variable} <glil-bind> . vars
An advisory expression that notes a liveness extent for a set of
variables. @var{vars} is a list of @code{(@var{name} @var{type}
@var{index})}, where @var{type} should be either @code{argument},
@code{local}, or @code{external}.

@code{<glil-bind>} expressions end up being serialized as part of a
program's metadata and do not form part of a program's code path.
@end deftp
@deftp {Scheme Variable} <glil-mv-bind> vars rest
A multiple-value binding of the values on the stack to @var{vars}. Iff
@var{rest} is true, the last element of @var{vars} will be treated as
a rest argument.

In addition to pushing a binding annotation on the stack, like
@code{<glil-bind>}, an expression is emitted at compilation time to
make sure that there are enough values available to bind. See the
notes on @code{truncate-values} in @ref{Procedure Call and Return
Instructions}, for more information.
@end deftp
@deftp {Scheme Variable} <glil-unbind>
Closes the liveness extent of the most recently encountered
@code{<glil-bind>} or @code{<glil-mv-bind>} expression. As GLIL
expressions are compiled, a parallel stack of live bindings is
maintained; this expression pops off the top element from that stack.

Bindings are written into the program's metadata so that debuggers and
other tools can determine the set of live local variables at a given
offset within a VM program.
@end deftp
@deftp {Scheme Variable} <glil-source> loc
Records source information for the preceding expression. @var{loc}
should be an association list of containing @code{line} @code{column},
and @code{filename} keys, e.g.@: as returned by
@code{source-properties}.
@end deftp
@deftp {Scheme Variable} <glil-void>
Pushes ``the unspecified value'' on the stack.
@end deftp
@deftp {Scheme Variable} <glil-const> obj
Pushes a constant value onto the stack. @var{obj} must be a number,
string, symbol, keyword, boolean, character, uniform array, the empty
list, or a pair or vector of constants.
@end deftp
@deftp {Scheme Variable} <glil-lexical> local? boxed? op index
Accesses a lexically bound variable. If the variable is not
@var{local?} it is free. All variables may have @code{ref},
@code{set}, and @code{bound?} as their @var{op}. Boxed variables may
also have the @var{op}s @code{box}, @code{empty-box}, and @code{fix},
which correspond in semantics to the VM instructions @code{box},
@code{empty-box}, and @code{fix-closure}. @xref{Stack Layout}, for
more information.
@end deftp
@deftp {Scheme Variable} <glil-toplevel> op name
Accesses a toplevel variable. @var{op} may be @code{ref}, @code{set},
or @code{define}.
@end deftp
@deftp {Scheme Variable} <glil-module> op mod name public?
Accesses a variable within a specific module. See Tree-IL's
@code{<module-ref>}, for more information.
@end deftp
@deftp {Scheme Variable} <glil-label> label
Creates a new label. @var{label} can be any Scheme value, and should
be unique.
@end deftp
@deftp {Scheme Variable} <glil-branch> inst label
Branch to a label. @var{label} should be a @code{<ghil-label>}.
@code{inst} is a branching instruction: @code{br-if}, @code{br}, etc.
@end deftp
@deftp {Scheme Variable} <glil-call> inst nargs
This expression is probably misnamed, as it does not correspond to
function calls. @code{<glil-call>} invokes the VM instruction named
@var{inst}, noting that it is called with @var{nargs} stack arguments.
The arguments should be pushed on the stack already. What happens to
the stack afterwards depends on the instruction.
@end deftp
@deftp {Scheme Variable} <glil-mv-call> nargs ra
Performs a multiple-value call. @var{ra} is a @code{<glil-label>}
corresponding to the multiple-value return address for the call. See
the notes on @code{mv-call} in @ref{Procedure Call and Return
Instructions}, for more information.
@end deftp
@deftp {Scheme Variable} <glil-prompt> label escape-only?
Push a dynamic prompt into the stack, with a handler at @var{label}.
@var{escape-only?} is a flag that is propagated to the prompt,
allowing an abort to avoid capturing a continuation in some cases.
@xref{Prompts}, for more information.
@end deftp

Users may enter in GLIL at the REPL as well, though there is a bit
more bookkeeping to do:

@example
scheme@@(guile-user)> ,language glil
Happy hacking with Guile Lowlevel Intermediate Language (GLIL)!
To switch back, type `,L scheme'.
glil@@(guile-user)> (program () (std-prelude 0 0 #f)
                       (const 3) (call return 1))
@result{} 3
@end example

Just as in all of Guile's compilers, an environment is passed to the
GLIL-to-object code compiler, and one is returned as well, along with
the object code.

@node Assembly
@subsection Assembly

Assembly is an S-expression-based, human-readable representation of
the actual bytecodes that will be emitted for the VM. As such, it is a
useful intermediate language both for compilation and for
decompilation.

Besides the fact that it is not a record-based language, assembly
differs from GLIL in four main ways:

@itemize
@item Labels have been resolved to byte offsets in the program.
@item Constants inside procedures have either been expressed as inline
instructions or cached in object arrays.
@item Procedures with metadata (source location information, liveness
extents, procedure names, generic properties, etc) have had their
metadata serialized out to thunks.
@item All expressions correspond directly to VM instructions -- i.e.,
there is no @code{<glil-lexical>} which can be a ref or a set.
@end itemize

Assembly is isomorphic to the bytecode that it compiles to. You can
compile to bytecode, then decompile back to assembly, and you have the
same assembly code.

The general form of assembly instructions is the following:

@lisp
(@var{inst} @var{arg} ...)
@end lisp

The @var{inst} names a VM instruction, and its @var{arg}s will be
embedded in the instruction stream. The easiest way to see assembly is
to play around with it at the REPL, as can be seen in this annotated
example:

@example
scheme@@(guile-user)> ,pp (compile '(+ 32 10) #:to 'assembly)
(load-program
  ((:LCASE16 . 2))  ; Labels, unused in this case.
  8                 ; Length of the thunk that was compiled.
  (load-program     ; Metadata thunk.
    ()
    17
    #f              ; No metadata thunk for the metadata thunk.
    (make-eol)
    (make-eol)
    (make-int8 2)   ; Liveness extents, source info, and arities,
    (make-int8 8)   ; in a format that Guile knows how to parse.
    (make-int8:0)
    (list 0 3)
    (list 0 1)
    (list 0 3)
    (return))
  (assert-nargs-ee/locals 0)  ; Prologue.
  (make-int8 32)    ; Actual code starts here.
  (make-int8 10)
  (add)
  (return))
@end example

Of course you can switch the REPL to assembly and enter in assembly
S-expressions directly, like with other languages, though it is more
difficult, given that the length fields have to be correct.

@node Bytecode and Objcode
@subsection Bytecode and Objcode

Finally, the raw bytes. There are actually two different ``languages''
here, corresponding to two different ways to represent the bytes.

``Bytecode'' represents code as uniform byte vectors, useful for
structuring and destructuring code on the Scheme level. Bytecode is
the next step down from assembly:

@example
scheme@@(guile-user)> (compile '(+ 32 10) #:to 'bytecode)
@result{} #vu8(8 0 0 0 25 0 0 0            ; Header.
       95 0                            ; Prologue.
       10 32 10 10 148 66 17           ; Actual code.
       0 0 0 0 0 0 0 9                 ; Metadata thunk.
       9 10 2 10 8 11 18 0 3 18 0 1 18 0 3 66)
@end example

``Objcode'' is bytecode, but mapped directly to a C structure,
@code{struct scm_objcode}:

@example
struct scm_objcode @{
  scm_t_uint32 len;
  scm_t_uint32 metalen;
  scm_t_uint8 base[0];
@};
@end example

As one might imagine, objcode imposes a minimum length on the
bytecode. Also, the @code{len} and @code{metalen} fields are in native
endianness, which makes objcode (and bytecode) system-dependent.

Objcode also has a couple of important efficiency hacks. First,
objcode may be mapped directly from disk, allowing compiled code to be
loaded quickly, often from the system's disk cache, and shared among
multiple processes. Secondly, objcode may be embedded in other
objcode, allowing procedures to have the text of other procedures
inlined into their bodies, without the need for separate allocation of
the code. Of course, the objcode object itself does need to be
allocated.

Procedures related to objcode are defined in the @code{(system vm
objcode)} module.

@deffn {Scheme Procedure} objcode? obj
@deffnx {C Function} scm_objcode_p (obj)
Returns @code{#f} iff @var{obj} is object code, @code{#f} otherwise.
@end deffn

@deffn {Scheme Procedure} bytecode->objcode bytecode
@deffnx {C Function} scm_bytecode_to_objcode (bytecode)
Makes a bytecode object from @var{bytecode}, which should be a
bytevector. @xref{Bytevectors}.
@end deffn

@deffn {Scheme Variable} load-objcode file
@deffnx {C Function} scm_load_objcode (file)
Load object code from a file named @var{file}. The file will be mapped
into memory via @code{mmap}, so this is a very fast operation.

On disk, object code has an sixteen-byte cookie prepended to it, to
prevent accidental loading of arbitrary garbage.
@end deffn

@deffn {Scheme Variable} write-objcode objcode file
@deffnx {C Function} scm_write_objcode (objcode)
Write object code out to a file, prepending the sixteen-byte cookie.
@end deffn

@deffn {Scheme Variable} objcode->bytecode objcode
@deffnx {C Function} scm_objcode_to_bytecode (objcode)
Copy object code out to a bytevector for analysis by Scheme.
@end deffn

The following procedure is actually in @code{(system vm program)}, but
we'll mention it here:

@deffn {Scheme Variable} make-program objcode objtable [free-vars=#f]
@deffnx {C Function} scm_make_program (objcode, objtable, free_vars)
Load up object code into a Scheme program. The resulting program will
have @var{objtable} as its object table, which should be a vector or
@code{#f}, and will capture the free variables from @var{free-vars}.
@end deffn

Object code from a file may be disassembled at the REPL via the
meta-command @code{,disassemble-file}, abbreviated as @code{,xx}.
Programs may be disassembled via @code{,disassemble}, abbreviated as
@code{,x}.

Compiling object code to the fake language, @code{value}, is performed
via loading objcode into a program, then executing that thunk with
respect to the compilation environment. Normally the environment
propagates through the compiler transparently, but users may specify
the compilation environment manually as well, as a module.


@node Writing New High-Level Languages
@subsection Writing New High-Level Languages

In order to integrate a new language @var{lang} into Guile's compiler
system, one has to create the module @code{(language @var{lang} spec)}
containing the language definition and referencing the parser,
compiler and other routines processing it. The module hierarchy in
@code{(language brainfuck)} defines a very basic Brainfuck
implementation meant to serve as easy-to-understand example on how to
do this. See for instance @url{http://en.wikipedia.org/wiki/Brainfuck}
for more information about the Brainfuck language itself.


@node Extending the Compiler
@subsection Extending the Compiler

At this point we take a detour from the impersonal tone of the rest of
the manual.  Admit it: if you've read this far into the compiler
internals manual, you are a junkie.  Perhaps a course at your university
left you unsated, or perhaps you've always harbored a desire to hack the
holy of computer science holies: a compiler.  Well you're in good
company, and in a good position.  Guile's compiler needs your help.

There are many possible avenues for improving Guile's compiler.
Probably the most important improvement, speed-wise, will be some form
of native compilation, both just-in-time and ahead-of-time. This could
be done in many ways. Probably the easiest strategy would be to extend
the compiled procedure structure to include a pointer to a native code
vector, and compile from bytecode to native code at run-time after a
procedure is called a certain number of times.

The name of the game is a profiling-based harvest of the low-hanging
fruit, running programs of interest under a system-level profiler and
determining which improvements would give the most bang for the buck.
It's really getting to the point though that native compilation is the
next step.

The compiler also needs help at the top end, enhancing the Scheme that
it knows to also understand R6RS, and adding new high-level compilers.
We have JavaScript and Emacs Lisp mostly complete, but they could use
some love; Lua would be nice as well, but whatever language it is
that strikes your fancy would be welcome too.

Compilers are for hacking, not for admiring or for complaining about.
Get to it!