Results 1  10
of
15
The Computational Power and Complexity of Constraint Handling Rules
 In Second Workshop on Constraint Handling Rules, at ICLP05
, 2005
"... Constraint Handling Rules (CHR) is a highlevel rulebased programming language which is increasingly used for general purposes. We introduce the CHR machine, a model of computation based on the operational semantics of CHR. Its computational power and time complexity properties are compared to thos ..."
Abstract

Cited by 50 (21 self)
 Add to MetaCart
Constraint Handling Rules (CHR) is a highlevel rulebased programming language which is increasingly used for general purposes. We introduce the CHR machine, a model of computation based on the operational semantics of CHR. Its computational power and time complexity properties are compared to those of the wellunderstood Turing machine and Random Access Memory machine. This allows us to prove the interesting result that every algorithm can be implemented in CHR with the best known time and space complexity. We also investigate the practical relevance of this result and the constant factors involved. Finally we expand the scope of the discussion to other (declarative) programming languages.
Extracting a Data Flow Analyser in Constructive Logic
 Proc. of the 13th European Symposium on Programming, volume 2986 of LNCS
, 2004
"... Abstract. We show how to formalise a constraintbased data flow analysis in the specification language of the Coq proof assistant. This involves defining a dependent type of lattices together with a library of lattice functors for modular construction of complex abstract domains. Constraints are exp ..."
Abstract

Cited by 45 (12 self)
 Add to MetaCart
Abstract. We show how to formalise a constraintbased data flow analysis in the specification language of the Coq proof assistant. This involves defining a dependent type of lattices together with a library of lattice functors for modular construction of complex abstract domains. Constraints are expressed in an intermediate representation that allows for both efficient constraint resolution and correctness proof of the analysis with respect to an operational semantics. The proof of existence of a correct, minimal solution to the constraints is constructive which means that the extraction mechanism of Coq provides a provably correct data flow analyser in ocaml. The library of lattices together with the intermediate representation of constraints are defined in an analysisindependent fashion that provides a basis for a generic framework for proving and extracting static analysers in Coq. 1
Generalizing Generalized Tries
, 1999
"... A trie is a search tree scheme that employs the structure of search keys to organize information. Tries were originally devised as a means to represent a collection of records indexed by strings over a fixed alphabet. Based on work by C.P. Wadsworth and others, R.H. Connelly and F.L. Morris generali ..."
Abstract

Cited by 31 (8 self)
 Add to MetaCart
A trie is a search tree scheme that employs the structure of search keys to organize information. Tries were originally devised as a means to represent a collection of records indexed by strings over a fixed alphabet. Based on work by C.P. Wadsworth and others, R.H. Connelly and F.L. Morris generalized the concept to permit indexing by elements of an arbitrary monomorphic datatype. Here we go one step further and define tries and operations on tries generically for arbitrary firstorder polymorphic datatypes. The derivation is based on techniques recently developed in the context of polytypic programming. It is well known that for the implementation of generalized tries nested datatypes and polymorphic recursion are needed. Implementing tries for polymorphic datatypes places even greater demands on the type system: it requires rank2 type signatures and higherorder polymorphic nested datatypes. Despite these requirements the definition of generalized tries for polymorphic datatypes is...
Generic Haskell: applications
 In Generic Programming, Advanced Lectures, volume 2793 of LNCS
, 2003
"... Generic Haskell is an extension of Haskell that supports the construction of generic programs. These lecture notes discuss three advanced generic programming applications: generic dictionaries, compressing XML documents, and the zipper: a data structure used to represent a tree together with a s ..."
Abstract

Cited by 30 (16 self)
 Add to MetaCart
Generic Haskell is an extension of Haskell that supports the construction of generic programs. These lecture notes discuss three advanced generic programming applications: generic dictionaries, compressing XML documents, and the zipper: a data structure used to represent a tree together with a subtree that is the focus of attention, where that focus may move left, right, up or down the tree. When describing and implementing these examples, we will encounter some advanced features of Generic Haskell, such as typeindexed data types, dependencies between and generic abstractions of generic functions, adjusting a generic function using a default case, and generic functions with a special case for a particular constructor.
Fast construction of overlay networks
 SPAA
"... An asynchronous algorithm is described for rapidly constructing an overlay network in a peertopeer system where all nodes can in principle communicate with each other directly through an underlying network, but each participating node initially has pointers to only a handful of other participants. ..."
Abstract

Cited by 21 (2 self)
 Add to MetaCart
An asynchronous algorithm is described for rapidly constructing an overlay network in a peertopeer system where all nodes can in principle communicate with each other directly through an underlying network, but each participating node initially has pointers to only a handful of other participants. The output of the mechanism is a linked list of all participants sorted by their identifiers, which can be used as a foundation for building various linear overlay networks such as Chord or skip graphs. Assuming the initial pointer graph is weaklyconnected with maximum degree d and the length of a node identifier is W, the mechanism constructs a binary search tree of nodes of depth O(W) in expected O(W log n) time using expected O((d+W)nlog n) messages of size O(W) each. Furthermore, the algorithm has low contention: at any time there are only O(d) undelivered messages for any given recipient. A lower bound of Ω(d + log n) is given for the running time of any procedure in a related synchronous model that yields a sorted list from a degreed weaklyconnected graph of n nodes. We conjecture that this lower bound is tight and could be attained by further improvements to our algorithms.
An Overview of Edison
 Electronic Notes in Theoretical Computer Science
, 2000
"... Edison is a library of functional data structures implemented in Haskell. It supports three main families of abstractions: sequences, collections (e.g., sets and priority queues), and associative collections (e.g., nite maps). This paper summarizes the design of Edison, with particular attention to ..."
Abstract

Cited by 15 (0 self)
 Add to MetaCart
Edison is a library of functional data structures implemented in Haskell. It supports three main families of abstractions: sequences, collections (e.g., sets and priority queues), and associative collections (e.g., nite maps). This paper summarizes the design of Edison, with particular attention to how that design is inuenced by details of Haskell. 1 Introduction There is a growing recognition that a useful set of libraries is at least as important to the acceptance of a programming language as the design of the language itself. A library of fundamental data structures such as queues, sets, and nite maps is particularly important in this regard. However, highquality examples of such libraries, such as the STL [14] in C++ or the the collection classes [3] in Smalltalk, are rare. Edison is a library of ecient data structures suitable for implementation and use in functional programming languages. It is named after Thomas Alva Edison and for the mnemonic value of EDiSon (Ecient Data ...
Typesafe modular hashconsing
 In: Proceedings of the 2006 workshop on ML
, 2006
"... Hashconsing is a technique to share values that are structurally equal. Beyond the obvious advantage of saving memory blocks, hashconsing may also be used to speed up fundamental operations and data structures by several orders of magnitude when sharing is maximal. This paper introduces an OCAML h ..."
Abstract

Cited by 10 (2 self)
 Add to MetaCart
Hashconsing is a technique to share values that are structurally equal. Beyond the obvious advantage of saving memory blocks, hashconsing may also be used to speed up fundamental operations and data structures by several orders of magnitude when sharing is maximal. This paper introduces an OCAML hashconsing library that encapsulates hashconsed terms in an abstract datatype, thus safely ensuring maximal sharing. This library is also parameterized by an equality that allows the user to identify terms according to an arbitrary equivalence relation. D.2.3 [Software engineer
The performance of Haskell CONTAINERS package
"... In this paper, we perform a thorough performance analysis of the CONTAINERS package, a de facto standard Haskell containers library, comparing it to the most of existing alternatives. We then significantly improve its performance, making it comparable to the best implementations available. Additiona ..."
Abstract
 Add to MetaCart
In this paper, we perform a thorough performance analysis of the CONTAINERS package, a de facto standard Haskell containers library, comparing it to the most of existing alternatives. We then significantly improve its performance, making it comparable to the best implementations available. Additionally, we describe a new persistent data structure based on hashing, which offers the best performance out of available data structures containing Strings and ByteStrings.