COMPILING WITH CONTINUATIONS APPEL PDF

Doran How to compile with continuations This transformation is not hygienic ; if the continuation c references any of the ; bound variables! Code is available in Racket ; techniques applicable to any language. Yet, if the transform tags variables, call forms and lambdas as being user or continuationthe stack is recoverable. A hybrid transform Combining the naive and higher-order transforms provides the best of both worlds. Complex expressions may not terminate, and they may produce side effects. This is two steps forward, and one step back: Examples Even while this transformation is simple, its results are poor.

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Tojajin The M function only has to watch for lambda terms. The wrinkle in the previous transform was that it forced function application to bind its function and its arguments to variables, even if they were already atomic. When a continuation gets invoked, deallocate its space by resetting the stack pointer to that continuation.

For the fourth transform, it will become partitioned CPS, and for the final transform, it will be a more realistic intermediate language with side effects, conditionals, basic values and explict recursion. How to compile with continuations The transform converts each with Tand then catches their results in newly-created continuations. Examples Even while this transformation is simple, its results are poor.

To withh a fresh variable bound to a user value, the transform will use genusymand for a fresh variables bound to a continuation, the transform will use genksym: How to compile with continuations [ article index ] [] [ mattmight ] [ rss ].

All calls become tail calls, so in effect, there is no stack. Compiling with Continuations Yet, if the transform tags variables, call forms and lambdas as being user or continuationthe stack is recoverable. Both of those lambda terms are continuations.

When a continuation gets allocated, bump the stack pointer. The transform now has three principal functions: The lambda calculus makes a nice platform for studying the architecture of a program transformation.

Scaling to real language features The lambda calculus makes a nice platform for studying the architecture of a program transformation. There are some advantages [and disadvantages] to stackless compilation. My post on A-Normalization.

The naive transformation The naive transformation likely dates to Apoel earliest work. To start, split the grammar: Because continuations are used in a last-allocated, first-invoked fashion, we can implement them as a stack. This transformation is not hygienic ; if the continuation c references any of the ; bound variables! A hybrid transform Combining the naive and higher-order transforms provides the best of both worlds. Consider an expanded input language: This is two steps forward, and one step back: In terms of unreasonable effectiveness, the transformation to continuation-passing style CPS ranks with the Y combinator.

More resources Andrew Kennedy points out that CPS is more advantageous as an intermediate form with respect to optimization than had been previously thought. To generate a fresh variable bound to a user value, the transform will use genusymand for a fresh variables bound to witn continuation, the transform will use genksym:.

Atomic expressions always produce a value and never cause side effects. Ultimately, however, that transformation must run on real code.

If the transform receives a real function expecting the atomic version sppel a the supplied expression, then the transform can check whether it is necessary to bind it to a variable. My post on implementing exceptions.

The transform T expr cont will transform expr into a CPS value, and aith construct a call site that applies the term cont to that value:. Complex expressions may not terminate, and they may produce side effects. TOP Related Posts.

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Compiling with Continuations

About this product Product Information The control and data flow of a programme can be represented using continuations, a concept from denotational semantics that has practical application in real compilers. This book shows how continuation-passing style is used as an intermediate representation to perform optimizations and program transformations. Continuations can be used to compile most programming languages. The method is illustrated in a compiler for the programming language Standard ML.

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