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15
The impact of higherorder state and control effects on local relational reasoning
, 2010
"... Reasoning about program equivalence is one of the oldest problems in semantics. In recent years, useful techniques have been developed, based on bisimulations and logical relations, for reasoning about equivalence in the setting of increasingly realistic languages—languages nearly as complex as ML o ..."
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Cited by 32 (14 self)
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Reasoning about program equivalence is one of the oldest problems in semantics. In recent years, useful techniques have been developed, based on bisimulations and logical relations, for reasoning about equivalence in the setting of increasingly realistic languages—languages nearly as complex as ML or Haskell. Much of the recent work in this direction has considered the interesting representation independence principles enabled by the use of local state, but it is also important to understand the principles that powerful features like higherorder state and control effects disable. This latter topic has been broached extensively within the framework of game semantics, resulting in what Abramsky dubbed the “semantic cube”: fully abstract gamesemantic characterizations of various axes in the design space of MLlike languages. But when it comes to reasoning about many actual examples, game semantics does not yet supply a useful technique for proving equivalences. In this paper, we marry the aspirations of the semantic cube to the powerful proof method of stepindexed Kripke logical relations. Building on recent work of Ahmed, Dreyer, and Rossberg, we define the first fully abstract logical relation for an MLlike language with recursive types, abstract types, general references and call/cc. We then show how, under orthogonal restrictions to the expressive power of our language—namely, the restriction to firstorder state and/or the removal of call/cc—we can enhance the proving power of our possibleworlds model in correspondingly orthogonal ways, and we demonstrate this proving power on a range of interesting examples. Central to our story is the use of state transition systems to model the way in which properties of local state evolve over time.
A Relational Modal Logic for HigherOrder Stateful ADTs
"... The method of logical relations is a classic technique for proving the equivalence of higherorder programs that implement the same observable behavior but employ different internal data representations. Although it was originally studied for pure, strongly normalizing languages like System F, it ha ..."
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Cited by 20 (12 self)
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The method of logical relations is a classic technique for proving the equivalence of higherorder programs that implement the same observable behavior but employ different internal data representations. Although it was originally studied for pure, strongly normalizing languages like System F, it has been extended over the past two decades to reason about increasingly realistic languages. In particular, Appel and McAllester’s idea of stepindexing has been used recently to develop syntactic Kripke logical relations for MLlike languages that mix functional and imperative forms of data abstraction. However, while stepindexed models are powerful tools, reasoning with them directly is quite painful, as one is forced to engage in tedious stepindex arithmetic to derive even simple results. In this paper, we propose a logic LADR for equational reasoning about higherorder programs in the presence of existential type abstraction, general recursive types, and higherorder mutable state. LADR exhibits a novel synthesis of features from PlotkinAbadi logic, GödelLöb logic, S4 modal logic, and relational separation logic. Our model of LADR is based on Ahmed, Dreyer, and Rossberg’s stateoftheart stepindexed Kripke logical relation, which was designed to facilitate proofs of representation independence for “statedependent ” ADTs. LADR enables one to express such proofs at a much higher level, without counting steps or reasoning about the subtle, stepstratified construction of possible worlds.
A theory of indirection via approximation
 IN POPL
, 2010
"... Building semantic models that account for various kinds of indirect reference has traditionally been a difficult problem. Indirect reference can appear in many guises, such as heap pointers, higherorder functions, object references, and sharedmemory mutexes. We give a general method to construct m ..."
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Cited by 16 (9 self)
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Building semantic models that account for various kinds of indirect reference has traditionally been a difficult problem. Indirect reference can appear in many guises, such as heap pointers, higherorder functions, object references, and sharedmemory mutexes. We give a general method to construct models containing indirect reference by presenting a “theory of indirection”. Our method can be applied in a wide variety of settings and uses only simple, elementary mathematics. In addition to various forms of indirect reference, the resulting models support powerful features such as impredicative quantification and equirecursion; moreover they are compatible with the kind of powerful substructural accounting required to model (higherorder) separation logic. In contrast to previous work, our model is easy to apply to new settings and has a simple axiomatization, which is complete in the sense that all models of it are isomorphic. Our proofs are machinechecked in Coq.
Ultrametric Semantics of Reactive Programs
"... Abstract—We describe a denotational model of higherorder functional reactive programming using ultrametric spaces and nonexpansive maps, which provide a natural Cartesian closed generalization of causal stream functions and guarded recursive definitions. We define a type theory corresponding to thi ..."
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Cited by 8 (3 self)
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Abstract—We describe a denotational model of higherorder functional reactive programming using ultrametric spaces and nonexpansive maps, which provide a natural Cartesian closed generalization of causal stream functions and guarded recursive definitions. We define a type theory corresponding to this semantics and show that it satisfies normalization. Finally, we show how reactive programs written in this language may be implemented efficiently using an imperatively updated dataflow graph, and give a separation logic proof that this lowlevel implementation is correct with respect to the highlevel semantics. I.
The marriage of bisimulations and Kripke logical relations
 In POPL
, 2012
"... There has been great progress in recent years on developing effective techniques for reasoning about program equivalence in MLlike languages—that is, languages that combine features like higherorder functions, recursive types, abstract types, and general mutable references. Two of the most promine ..."
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Cited by 7 (5 self)
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There has been great progress in recent years on developing effective techniques for reasoning about program equivalence in MLlike languages—that is, languages that combine features like higherorder functions, recursive types, abstract types, and general mutable references. Two of the most prominent types of techniques to have emerged are bisimulations and Kripke logical relations (KLRs). While both approaches are powerful, their complementary advantages have led us and other researchers to wonder whether there is an essential tradeoff between them. Furthermore, both approaches seem to suffer from fundamental limitations if one is interested in scaling them to interlanguage reasoning. In this paper, we propose relation transition systems (RTSs), which marry together some of the most appealing aspects of KLRs and bisimulations. In particular, RTSs show how bisimulations’ support for reasoning about recursive features via coinduction can be synthesized with KLRs ’ support for reasoning about local state via state transition systems. Moreover, we have designed RTSs to avoid the limitations of KLRs and bisimulations that preclude their generalization to interlanguage reasoning. Notably, unlike KLRs, RTSs are transitively composable.
A Logical Mix of Approximation and Separation
"... Abstract. Semantic models can use indirection when the naïve semantic definitions contain a contravariant circularity, and substructure when one wishes to track resource accounting. If a model uses indirection, then its logic must reason about the resulting approximation; if a model contains substru ..."
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Cited by 6 (5 self)
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Abstract. Semantic models can use indirection when the naïve semantic definitions contain a contravariant circularity, and substructure when one wishes to track resource accounting. If a model uses indirection, then its logic must reason about the resulting approximation; if a model contains substructure, then its logic often contains notations of separation. We show how to build program logics for settings involving approximation and/or separation. Our work is machine checked in Coq and available as part of the Mechanized Semantic Library. 1
HigherOrder Functional Reactive Programming in Bounded Space
"... Functional reactive programming (FRP) is an elegant and successful approach to programming reactive systems declaratively. The high levels of abstraction and expressivity that make FRP attractive as a programming model do, however, often lead to programs whose resource usage is excessive and hard to ..."
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Cited by 3 (1 self)
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Functional reactive programming (FRP) is an elegant and successful approach to programming reactive systems declaratively. The high levels of abstraction and expressivity that make FRP attractive as a programming model do, however, often lead to programs whose resource usage is excessive and hard to predict. In this paper, we address the problem of space leaks in discretetime functional reactive programs. We present a functional reactive programming language that statically bounds the size of the dataflow graph a reactive program creates, while still permitting use of higherorder functions and highertype streams such as streams of streams. We achieve this with a novel linear type theory that both controls allocation and ensures that all recursive definitions are wellfounded. We also give a denotational semantics for our language by combining recent work on metric spaces for the interpretation of higherorder causal functions with lengthspace models of spacebounded computation. The resulting category is doubly closed and hence forms a model of the logic of bunched implications.
A Relational Realizability Model for Higherorder Stateful ADTs
, 2010
"... We present a realizability model for reasoning about contextual equivalence of higherorder programs with impredicative polymorphism, recursive types, and higherorder mutable state. The model combines the virtues of two recent earlier models: (1) Ahmed, Dreyer, and Rossberg’s stepindexed logical r ..."
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Cited by 2 (1 self)
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We present a realizability model for reasoning about contextual equivalence of higherorder programs with impredicative polymorphism, recursive types, and higherorder mutable state. The model combines the virtues of two recent earlier models: (1) Ahmed, Dreyer, and Rossberg’s stepindexed logical relations model, which was designed to facilitate proofs of representation independence for “statedependent” ADTs and (2) Birkedal, Støvring, and Thamsborg’s realizability logical relations model, which was designed to facilitate abstract proofs without tedious proofs of representation independence for “statedependent” ADTs.
StepIndexed Biorthogonality: a Tutorial Example
"... The purpose of this note is to illustrate the use of stepindexing [2] combined with biorthogonality [10, 9] to construct syntactical logical relations. It walks through the details of a syntactically simple, yet nontrivial example: a proof of the “CIU Theorem ” for contextual equivalence of terms ..."
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Cited by 1 (0 self)
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The purpose of this note is to illustrate the use of stepindexing [2] combined with biorthogonality [10, 9] to construct syntactical logical relations. It walks through the details of a syntactically simple, yet nontrivial example: a proof of the “CIU Theorem ” for contextual equivalence of terms in the untyped callbyvalue λcalculus with recursively defined functions.