Cyclic Datatypes modulo Bisimulation based on Second-Order Algebraic Theories

Cyclic data structures, such as cyclic lists, in functional programming are tricky to handle because of their cyclicity. This paper presents an investigation of categorical, algebraic, and computational foundations of cyclic datatypes. Our framework of cyclic datatypes is based on second-order algebraic theories of Fiore et al., which give a uniform setting for syntax, types, and computation rules for describing and reasoning about cyclic datatypes. We extract the "fold" computation rules from the categorical semantics based on iteration categories of Bloom and Esik. Thereby, the rules are correct by construction. We prove strong normalisation using the General Schema criterion for second-order computation rules. Rather than the fixed point law, we particularly choose Bekic law for computation, which is a key to obtaining strong normalisation. We also prove the property of "Church-Rosser modulo bisimulation" for the computation rules. Combining these results, we have a remarkable decidability result of the equational theory of cyclic data and fold.Comment: 38 page

Strongly Normalising Cyclic Data Computation by Iteration Categories of Second-Order Algebraic Theories

Cyclic data structures, such as cyclic lists, in functional programming are tricky to handle because of their cyclicity. This paper presents an investigation of categorical, algebraic, and computational foundations of cyclic datatypes. Our framework of cyclic datatypes is based on second-order algebraic theories of Fiore et al., which give a uniform setting for syntax, types, and computation rules for describing and reasoning about cyclic datatypes. We extract the ``fold\u27\u27 computation rules from the categorical semantics based on iteration categories of Bloom and Esik. Thereby, the rules are correct by construction. Finally, we prove strong normalisation using the General Schema criterion for second-order computation rules. Rather than the fixed point law, we particularly choose Bekic law for computation, which is a key to obtaining strong normalisation

CoCaml: Functional Programming with Regular Coinductive Types

Functional languages offer a high level of abstraction, which results in programs that are elegant and easy to understand. Central to the development of functional programming are inductive and coinductive types and associated programming constructs, such as pattern-matching. Whereas inductive types have a long tradition and are well supported in most languages, coinductive types are subject of more recent research and are less mainstream. We present CoCaml, a functional programming language extending OCaml, which allows us to define recursive functions on regular coinductive datatypes. These functions are defined like usual recursive functions, but parameterized by an equation solver. We present a full implementation of all the constructs and solvers and show how these can be used in a variety of examples, including operations on infinite lists, infinitary γ-terms, and p-adic numbers

Generalising tree traversals and tree transformations to DAGs:Exploiting sharing without the pain

We present a recursion scheme based on attribute grammars that can be transparently applied to trees and acyclic graphs. Our recursion scheme allows the programmer to implement a tree traversal or a tree transformation and then apply it to compact graph representations of trees instead. The resulting graph traversal or graph transformation avoids recomputation of intermediate results for shared nodes – even if intermediate results are used in different contexts. Consequently, this approach leads to asymptotic speedup proportional to the compression provided by the graph representation. In general, however, this sharing of intermediate results is not sound. Therefore, we complement our implementation of the recursion scheme with a number of correspondence theorems that ensure soundness for various classes of traversals. We illustrate the practical applicability of the implementation as well as the complementing theory with a number of examples

Laying Tiles Ornamentally: An approach to structuring container traversals

Having hardware more capable of parallel execution means that more program scheduling decisions have to be taken to utilize that hardware efficiently. To this end, compilers implement coarse-grained loop transformations in addition to traditionally used fine-grained instruction reordering. Implementors of embedded domain specific languages have to face a difficult choice: to translate operations on collections to a low-level language naively hoping that its optimizer will do the job, or to implement their own optimizer as a part of the EDSL.<br /><br />We turn ourselves to the concept of loop tiling from the imperative world and find its equivalent for recursive functions. We show the construction of a <em>tiled</em> functorial map over containers that can be naively translated to a corresponding nested loop.<br /><br />We illustrate the connection between <em>untiled</em> and tiled functorial maps by means of a type-theoretic notion of <em>algebraic ornament</em>. This approach produces an family of container traversals indexed by <em>tile sizes</em> and serves as a basis of a proof that untiled and tiled functorial maps have the same semantics.<br /><br />We evaluate our approach by designing a language of tree traversals as a DSL embedded into Haskell which compiles into C code. We use this language to implement tiled and untiled tree traversals which we benchmark under varying choices of tile sizes and shapes of input trees. For some tree shapes, we show that a tiled tree traversal can be up to 50% faster than an untiled one under a good choice of the tile size

Functional programming with structured graphs

This paper presents a new functional programming model for graph structures called structured graphs. Structured graphs extend conventional algebraic datatypes with explicit definition and manipulation of cycles and/or sharing, and offer a practical and convenient way to program graphs in functional programming languages like Haskell. The representation of sharing and cycles (edges) employs recursive binders and uses an encoding inspired by parametric higher-order abstract syntax. Unlike traditional approaches based on mutable references or node/edge lists, well-formedness of the graph structure is ensured statically and reasoning can be done with standard functional programming techniques. Since the binding structure is generic, we can define many useful generic combinators for manipulating structured graphs. We give applications and show how to reason about structured graphs. © 2012 ACM.link_to_subscribed_fulltex

Functional programming with structured graphs

This paper presents a new functional programming model for graph structures called structured graphs. Structured graphs extend conventional algebraic datatypes with explicit definition and manipulation of cycles and/or sharing, and offer a practical and convenient way to program graphs in functional programming languages like Haskell. The representation of sharing and cycles (edges) employs recursive binders and uses an encoding inspired by para- metric higher-order abstract syntax. Unlike traditional approaches based on mutable references or node/edge lists, well-formedness of the graph structure is ensured statically and reasoning can be done with standard functional programming techniques. Since the binding structure is generic, we can define many useful generic combinators for manipulating structured graphs. We give applications and show how to reason about structured graphs. Copyright © 2012 ACM.link_to_subscribed_fulltex