We propose an implementation model for the evaluation of the weak λ-calculus, which is invariant for both time and space complexity, in both call-by-name and call-by-value strategies. In other words, this model provides an implementation of any weak call-by-name or weak call-by-value λ-calculus reduction sequence, whose time complexity is polynomial in the number of simulated β-steps, and whose space complexity is linear in the size of the largest intermediate term. This solves in an elegant way the well-known tension between time-invariance and space-invariance in the implementation of the λ-calculus.

We present a call-by-need $\lambda$-calculus that enables strong reduction (that is, reduction inside the body of abstractions) and guarantees that arguments are only evaluated if needed and at most once. This calculus uses explicit substitutions and subsumes the existing strong-call-by-need strategy, but allows for more reduction sequences, and often shorter ones, while preserving the neededness. The calculus is shown to be normalizing in a strong sense: Whenever a $\lambda$-term t admits a normal form n in the $\lambda$-calculus, then any reduction sequence from t in the calculus eventually reaches a representative of the normal form n. We also exhibit a restriction of this calculus that has the diamond property and that only performs reduction sequences of minimal length, which makes it systematically better than the existing strategy. We have used the Abella proof assistant to formalize part of this calculus, and discuss how this experiment affected its design. In particular, it led us to derive a new description of call-by-need reduction based on inductive rules.

We present a call-by-need λ-calculus that enables strong reduction (that is, reduction inside the body of abstractions) and guarantees that arguments are only evaluated if needed and at most once. This calculus uses explicit substitutions and subsumes the existing strong-call-by-need strategy, but allows for more reduction sequences, and often shorter ones, while preserving the neededness. The calculus is shown to be normalizing in a strong sense: Whenever a λ-term t admits a normal form n in the λ-calculus, then any reduction sequence from t in the calculus eventually reaches a representative of the normal form n. We also exhibit a restriction of this calculus that has the diamond property and that only performs reduction sequences of minimal length, which makes it systematically better than the existing strategy. We have used the Abella proof assistant to formalize part of this calculus, and discuss how this experiment affected its design.

We present a call-by-need strategy for computing strong normal forms of open terms (reduction is admitted inside the body of abstractions and substitutions, and the terms may contain free variables), which guarantees that arguments are only evaluated when needed and at most once. The strategy is shown to be complete with respect toβ-reduction to strong normal form. The proof of completeness relies on two key tools: (1) the definition of a strong call-by-need calculus where reduction may be performed inside any context, and (2) the use of non-idempotent intersection types. More precisely, terms admitting aβ-normal form in pure lambda calculus are typable, typability implies (weak) normalisation in the strong call-by-need calculus, and weak normalisation in the strong call-by-need calculus implies normalisation in the strong call-by-need strategy. Our (strong) call-by-need strategy is also shown to be conservative over the standard (weak) call-by-need.

We show that the weak memory model introduced by the 2011 C and C++ standards does not permit many common source-to-source program transformations (such as expression linearisation and "roach motel" reorderings) that modern compilers perform and that are deemed to be correct. As such it cannot be used to define the semantics of intermediate languages of compilers, as, for instance, LLVM aimed to. We consider a number of possible local fixes, some strengthening and some weakening the model. We evaluate the proposed fixes by determining which program transformations are valid with respect to each of the patched models. We provide formal Coq proofs of their correctness or counterexamples as appropriate.

In this paper we investigate laziness and optimal evaluation strategies for functional programming languages. We consider the weak lambda-calculus as a basis of functional programming languages, and we adapt to this setting the concepts of optimal reductions that were defined for the full lambda-calculus. We prove that the usual implementation of call-by-need using sharing is optimal, that is, normalizing any lambda-term with call-by-need requires exactly the same number of reduction steps as the shortest reduction sequence in the weak lambda-calculus without sharing. Furthermore, we prove that optimal reduction sequences without sharing are not computable. Hence sharing is the only computable means to reach weak optimality.

We give an axiomatic presentation of sharing-via-labelling for weak lambda-calculi, that makes it possible to formally compare many different approaches to fully lazy sharing, and obtain two important results. We prove that the known implementations of full laziness are all equivalent in terms of the number of beta-reductions performed, although they behave differently regarding the duplication of terms. We establish a link between the optimality theories of weak lambda-calculi and first-order rewriting systems by expressing fully lazy lambda-lifting in our framework, thus emphasizing the first-order essence of weak reduction.

A judicious use of labelled terms makes it possible to bring together the simplicity of term rewriting and the sharing power of graph rewriting: this has been known for twenty years in the particular case of orthogonal first-order systems. The present paper introduces a concise and easily usable axiomatic presentation of sharing-via-labelling techniques that applies to higher-order term rewriting as well as to non-orthogonal term rewriting. This provides a general framework for the sharing of subterms and keeps the formalism as simple as term rewriting.

Evaluation of a weak calculus featuring expressive pattern matching mechanisms is investigated by means of the construction of an efficient model of sharing. The sharing theory and its graph implementation are based on a labelling system derived from an analysis of causality relation between evaluation steps. The labelled calculus enjoys properties of confluence and finite developments, and is also used for proving correctness and optimality of a whole set of reduction strategies.