Parallel graph rewriting on loosely coupled machine architectures (original) (raw)

Functional programming and parallel graph rewriting

1993

In a declarative programming language a computation is expressed in a static fashion, as a list of declarations. A program in such a language is regarded as a specification that happens to be executable as well. In this textbook we focus on a subclass of the declarative languages, the functional programming languages, sometimes called applicative languages. In these languages a program consists of a list of function definitions. The execution of a program consists of the evaluation of a function application given the functions that have been defined.

Clean—a language for functional graph rewriting

Functional Programming Languages and Computer Architecture, 1987

Clean is an experimental language for specifying functional computations in terms of graph rewriting. It is based on an extension of Term Rewriting Systems (TRS) in which the terms are replaced by graphs. Such a Graph Rewriting System (GRS) consists of a, possibly cyclic, directed graph, called the data graph and graph rewrite rules which specify how this data graph may be rewritten. Clean is designed to provide a firm base for functional programming. In particular, Clean is suitable as an intermediate language between ...

Graph rewriting semantics for functional programming languages

1997

The lambda calculus forms without any question* the* theoretical backbone of functional programming languages. For the design and implementation of the lazy functional language Concurrent Clean we have used a related computational model: Term Graph Rewriting Systems (TGRS's). This paper wraps up our main conclusions after 10 years of experience with graph rewriting semantics for functional programming languages.

Towards an intermediate language based on Graph Rewriting

Lecture Notes in Computer Science

Lean is an experimental language for specifying computations in terms of graph rewriting. It is based on an alternative to Term Rewriting Systems (TRS) in which the terms are replaced by graphs. Such a Graph Rewriting System (GRS) consists of a set of graph rewrite rules which specify how a graph may be rewritten. Besides supporting functional programming, Lean also describes imperative constructs and allows the manipulation of cyclic graphs. Programs may exhibit non-determinism as well as parallelism. In particular, Lean can serve as an intermediate language between declarative languages and machine architectures, both sequential and parallel.

CLEAN: A language for functional graph writing

Functional Programming Languages and Computer Architecture, 1987

Clean is an experimental language for specifying functional computations in terms of graph rewriting. It is based on an extension of Term Rewriting Systems (TRS) in which the terms are replaced by graphs. Such a Graph Rewriting System (GRS) consists of a, possibly cyclic, directed graph, called the data graph and graph rewrite rules which specify how this data graph

LEAN: AN INTERMEDIATE LANGUAGE BASED ON GRAPH REWRITING

Lean is an experimental language for specifying computations in terms of graph rewriting. It is based on an alternative to Term Rewriting Systems (TRS) in which the terms are replaced by graphs. Such a Graph Rewriting System (GRS) consists of a set of graph rewrite rules which specify how a graph may be rewritten. Besides supporting functional programming, Lean also describes imperative constructs and allows the manipulation of cyclic graphs. Programs may exhibit non-determinism as well as parallelism. In particular, Lean can serve as an intermediate language between declarative languages and machine architectures, both sequential and parallel. This paper is a revised version of Barendregt et al. (1987b) which was presented at the ESPRIT, PARLE conference in Eindhoven, The Netherlands, June 1987.

Linear behaviour of term graph rewriting programs

Proceedings of the 1995 ACM symposium on Applied computing - SAC '95, 1995

et al. ([18]) gives an accurate reflection of contemporary interest in this area. The generalised term graph rewriting computational model is exploited to implement concurrent languages based on Girard's Linear Logic (LL). In particular a fragment of LL is identified which is able to serve as a "process calculus" and on which the design of a number of languages can be based. It is then shown how this fragment can be mapped onto equivalent sets of graph rewriting rules that both preserve the functionality of the LL connectives and also exploit the properties of linearity for efficient implementation on a distributed architecture. Notions such as channels, production and consumption of messages, and N-toN communication between agents, are interpreted in the world of (term) graph rewriting. This work serves two purposes: i) to extend the notion of Term Graph Rewriting as a generalised computational model for the case of linear concurrent languages, and ii) to act as an initial investigation towards a fully linear term graph rewriting model of computation able to be implemented efficiently on distributed architectures.

Concurrent rewriting for graphs with equivalences

2006

Several applications of graph rewriting systems (notably, some encodings of calculi with name passing) require rules which, besides deleting and generating graph items, are able to coalesce some parts of the graph. This latter feature forbids the development of a satisfactory concurrent semantics for rewrites (intended as a partial order description of the steps in a computation).