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A Generic Account of ContinuationPassing Styles
 Proceedings of the Twentyfirst Annual ACM Symposium on Principles of Programming Languages
, 1994
"... We unify previous work on the continuationpassing style (CPS) transformations in a generic framework based on Moggi's computational metalanguage. This framework is used to obtain CPS transformations for a variety of evaluation strategies and to characterize the corresponding administrative re ..."
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Cited by 93 (35 self)
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We unify previous work on the continuationpassing style (CPS) transformations in a generic framework based on Moggi's computational metalanguage. This framework is used to obtain CPS transformations for a variety of evaluation strategies and to characterize the corresponding administrative reductions and inverse transformations. We establish generic formal connections between operational semantics and equational theories. Formal properties of transformations for specific evaluation orders follow as corollaries. Essentially, we factor transformations through Moggi's computational metalanguage. Mapping terms into the metalanguage captures computational properties (e.g., partiality, strictness) and evaluation order explicitly in both the term and the type structure of the metalanguage. The CPS transformation is then obtained by applying a generic transformation from terms and types in the metalanguage to CPS terms and types, based on a typed term representation of the continuation ...
Representing control: a study of the CPS transformation
, 1992
"... This paper investigates the transformation of v terms into continuationpassing style (CPS). We show that by appropriate jexpansion of Fischer and Plotkin's twopass equational specification of the CPS transform, we can obtain a static and contextfree separation of the result terms into ..."
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Cited by 89 (8 self)
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This paper investigates the transformation of v terms into continuationpassing style (CPS). We show that by appropriate jexpansion of Fischer and Plotkin's twopass equational specification of the CPS transform, we can obtain a static and contextfree separation of the result terms into "essential" and "administrative" constructs. Interpreting the former as syntax builders and the latter as directly executable code, we obtain a simple and efficient onepass transformation algorithm, easily extended to conditional expressions, recursive definitions, and similar constructs. This new transformation algorithm leads to a simpler proof of Plotkin's simulation and indifference results. Further we show how CPSbased control operators similar to but more general than Scheme's call/cc can be naturally accommodated by the new transformation algorithm. To demonstrate the expressive power of these operators, we use them to present an equivalent but even more concise formulation of t...
Back to Direct Style
, 1994
"... This paper describes the transformation of lambdaterms from continuationpassing style (CPS) to direct style. This transformation is the left inverse of Plotkin's lefttoright callbyvalue CPS encoding for the pure lambdacalculus. Not all terms are CPS terms, and not all CPS terms encode a ..."
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Cited by 56 (25 self)
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This paper describes the transformation of lambdaterms from continuationpassing style (CPS) to direct style. This transformation is the left inverse of Plotkin's lefttoright callbyvalue CPS encoding for the pure lambdacalculus. Not all terms are CPS terms, and not all CPS terms encode a lefttoright callbyvalue evaluation. These CPS terms are characterized here; they can be mapped back to direct style. In addition, the two transformations  to continuationpassing style and to direct style  are factored using a language where all intermediate values are named and their computation is sequentialized. The issue of proper tailrecursion is also addressed.
Design and Implementation of Code Optimizations for a TypeDirected Compiler for Standard ML
, 1996
"... Abstract The trends in software development are towards larger programs, more complex programs, and more use of programs as "component software. " These trends mean that the features of modern programming languages are becoming more important than ever before. Programming languages ..."
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Cited by 50 (2 self)
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Abstract The trends in software development are towards larger programs, more complex programs, and more use of programs as &quot;component software. &quot; These trends mean that the features of modern programming languages are becoming more important than ever before. Programming languages need to have features such as strong typing, a module system, polymorphism, automatic storage management, and higherorder functions. In short, modern programming languages are becoming more important than ever before.
A Syntactic Theory of Dynamic Binding
 HigherOrder and Symbolic Computation
, 1997
"... . Dynamic binding, which has always been associated with Lisp, is still semantically obscure to many. Although largely replaced by lexical scoping, not only does dynamic binding remain an interesting and expressive programming technique in specialised circumstances, but also it is a key notion in se ..."
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Cited by 35 (1 self)
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. Dynamic binding, which has always been associated with Lisp, is still semantically obscure to many. Although largely replaced by lexical scoping, not only does dynamic binding remain an interesting and expressive programming technique in specialised circumstances, but also it is a key notion in semantics. This paper presents a syntactic theory that enables the programmer to perform equational reasoning on programs using dynamic binding. The theory is proved to be sound and complete with respect to derivations allowed on programs in "dynamicenvironment passing style". From this theory, we derive a sequential evaluation function in a contextrewriting system. Then, we exhibit the power and usefulness of dynamic binding in two different ways. First, we prove that dynamic binding adds expressiveness to a purely functional language. Second, we show that dynamic binding is an essential notion in semantics that can be used to define the semantics of exceptions. Afterwards, we further refin...
A rational deconstruction of Landin’s SECD machine
 Implementation and Application of Functional Languages, 16th International Workshop, IFL’04, number 3474 in Lecture Notes in Computer Science
, 2004
"... Abstract. Landin’s SECD machine was the first abstract machine for applicative expressions, i.e., functional programs. Landin’s J operator was the first control operator for functional languages, and was specified by an extension of the SECD machine. We present a family of evaluation functions corre ..."
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Cited by 32 (20 self)
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Abstract. Landin’s SECD machine was the first abstract machine for applicative expressions, i.e., functional programs. Landin’s J operator was the first control operator for functional languages, and was specified by an extension of the SECD machine. We present a family of evaluation functions corresponding to this extension of the SECD machine, using a series of elementary transformations (transformation into continuationpassing style (CPS) and defunctionalization, chiefly) and their left inverses (transformation into direct style and refunctionalization). To this end, we modernize the SECD machine into a bisimilar one that operates in lockstep with the original one but that (1) does not use a data stack and (2) uses the callersave rather than the calleesave convention for environments. We also identify that the dump component of the SECD machine is managed in a calleesave way. The callersave counterpart of the modernized SECD machine precisely corresponds to Thielecke’s doublebarrelled continuations and to Felleisen’s encoding of J in terms of call/cc. We then variously characterize the J operator in terms of CPS and in terms of delimitedcontrol operators in the CPS hierarchy. As a byproduct, we also present several reduction semantics for applicative expressions
CPS Transformation after Strictness Analysis
 ACM Letters on Programming Languages and Systems
, 1993
"... syntax of the source language ` c : ' f:::; x : ø ; :::g ` x : ø ß ` e : ø !ø ß ` fix e : ø ß [ fx : ø 1 g ` e : ø 2 ß ` x : ø 1 : e : ø 1 !ø 2 ß ` e 0 : ø 1 !ø 2 ß ` e 1 : ø 1 ß ` @ e 0 e 1 : ø 2 ß ` e 1 : ' ß ` e 2 : ø ß ` e 3 : ø ß ` if e 1 then e 2 else e 3 : ø ß ` e 0 : ø 0 ß [ fx ..."
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Cited by 29 (11 self)
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syntax of the source language ` c : ' f:::; x : ø ; :::g ` x : ø ß ` e : ø !ø ß ` fix e : ø ß [ fx : ø 1 g ` e : ø 2 ß ` x : ø 1 : e : ø 1 !ø 2 ß ` e 0 : ø 1 !ø 2 ß ` e 1 : ø 1 ß ` @ e 0 e 1 : ø 2 ß ` e 1 : ' ß ` e 2 : ø ß ` e 3 : ø ß ` if e 1 then e 2 else e 3 : ø ß ` e 0 : ø 0 ß [ fx : ø 0 g ` e 1 : ø 1 ß ` let x = e 0 in e 1 : ø 1 ß ` e 1 : ø 1 ß ` e 2 : ø 2 ß ` pair e 1 e 2 : ø 1 \Theta ø 2 ß ` e : ø 1 \Theta ø 2 ß ` fst e : ø 1 ß ` e : ø 1 \Theta ø 2 ß ` snd e : ø 2 Fig. 2. Typechecking rules for the source language approach is used by Kesley and Hudak [11] and by Fradet and Le M'etayer [9]. Both include a CPS transformation. Fradet and Le M'etayer compile both CBN and CBV programs by using the CBN and the CBV CPStransformation. Recently, Burn and Le M'etayer have combined this technique with a global programanalysis [2], which is comparable to our goal here. 1.4 Overview Section 2 presents the syntax of the source language and the strictnessannotated language. We c...
From reductionbased to reductionfree normalization
 Proceedings of the Fourth International Workshop on Reduction Strategies in Rewriting and Programming (WRS'04
, 2004
"... We document an operational method to construct reductionfree normalization functions. Starting from a reductionbased normalization function from a reduction semantics, i.e., the iteration of a onestep reduction function, we successively subject it to refocusing (i.e., deforestation of the inte ..."
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Cited by 28 (13 self)
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We document an operational method to construct reductionfree normalization functions. Starting from a reductionbased normalization function from a reduction semantics, i.e., the iteration of a onestep reduction function, we successively subject it to refocusing (i.e., deforestation of the intermediate successive terms in the reduction sequence), equational simplication, refunctionalization (i.e., the converse of defunctionalization), and directstyle transformation (i.e., the converse of the CPS transformation), ending with a reductionfree normalization function of the kind usually crafted by hand. We treat in detail four simple examples: calculating arithmetic expressions, recognizing Dyck words, normalizing lambdaterms with explicit substitutions and call/cc, and attening binary trees. The overall method builds on previous work by the author and his students on a syntactic correspondence between reduction semantics and abstract machines and on a functional correspondence between evaluators and abstract machines. The measure of success of these two correspondences is that each of the interderived semantic artifacts (i.e., manmade constructs) could plausibly have been written by hand, as is the actual case for several ones derived here.