203 research outputs found
Kernel Andorra Prolog and its computation model
The logic programming language framework Kernel Andorra Prolog is defined by a formal computation model. In Kernel Andorra Prolog, general combinations of concurrent reactive languages and nondeterministic transformational languages may be specified. The framework is based on constraints
A Design and Implementation of the Extended Andorra Model
Logic programming provides a high-level view of programming, giving
implementers a vast latitude into what techniques to explore to achieve the
best performance for logic programs. Towards obtaining maximum performance, one
of the holy grails of logic programming has been to design computational models
that could be executed efficiently and that would allow both for a reduction of
the search space and for exploiting all the available parallelism in the
application. These goals have motivated the design of the Extended Andorra
Model, a model where goals that do not constrain non-deterministic goals can
execute first.
In this work we present and evaluate the Basic design for Extended Andorra
Model (BEAM), a system that builds upon David H. D. Warren's original EAM with
Implicit Control. We provide a complete description and implementation of the
BEAM System as a set of rewrite and control rules. We present the major data
structures and execution algorithms that are required for efficient execution,
and evaluate system performance.
A detailed performance study of our system is included. Our results show that
the system achieves acceptable base performance, and that a number of
applications benefit from the advanced search inherent to the EAM.Comment: 43 pages, To appear in Theory and Practice of Logic Programming
(TPLP
An automatic translation scheme from prolog to the andorra kernel language
The Andorra family of languages (which includes the Andorra Kernel Language -AKL) is aimed, in principie, at simultaneously supporting the programming styles of Prolog and committed choice languages. On the other hand, AKL requires a somewhat detailed specification of control by the user. This could be avoided by programming in Prolog to run on AKL. However, Prolog programs cannot be executed directly on AKL. This is due to a number of factors, from
more or less trivial syntactic differences to more involved issues such as the treatment of cut and making the exploitation of certain types of parallelism possible. This paper provides basic guidelines for constructing an automatic compiler of Prolog programs into AKL, which can
bridge those differences. In addition to supporting Prolog, our style of translation achieves independent and-parallel execution where possible, which is relevant since this type of parallel execution preserves, through the translation, the user-perceived "complexity" of the original Prolog program
Structural operational semantics for Kernel Andorra Prolog
Kernel Andorra Prolog is a framework for nondeterministic concurrent constraint logic programming languages. Many languages, such as Prolog, GHC, Parlog, and Atomic Herbrand, can be seen as instances of this framework, by adding specific constraint systems and constraint operations, and optionally by imposing further restrictions on the language and the control of the computation model. We systematically revisit the description in Haridi and Jarison [HJ90], adding the formal machinery which is necessary in order to completely formalize the control of the computation model. To this we add a formal description of the transformational semantics of Kernel Andorra Prolog. The semantics of Kernel Andorra Prolog is a set of or-trees which also captures infinite computations
An automatic translation scheme from CLP to AKL
The Andorra Kernel language scheme was aimed, in principle, at simultaneously supporting the programming styles of Prolog and committed choice languages. Within the constraint programming paradigm, this family of languages could also in principle support the concurrent constraint paradigm. This happens for the Agents Kernel Language (AKL). On the other hand, AKL requires a somewhat detailed specification of control by the user. This could be avoided by programming in CLP to run on AKL. However, CLP programs cannot be executed directly on AKL. This is due to a number
of factors, from more or less trivial syntactic differences to more involved issues such as the treatment of cut and making the exploitation of certain types of parallelism
possible. This paper provides a translation scheme which is a basis of an automatic compiler of CLP programs into AKL, which can bridge those differences. In addition to supporting CLP, our style of translation achieves independent and-parallel execution where possible, which is relevant since this type of parallel execution preserves, through the translation, the user-perceived "complexity" of the original program
Divided we stand: Parallel distributed stack memory management
We present an overview of the stack-based memory management techniques that we used in our non-deterministic and-parallel Prolog systems: &-Prolog and DASWAM. We believe
that the problems associated with non-deterministic and-parallel systems are more general than those encountered in or-parallel and deterministic and-parallel systems, which can be seen as subsets of this more general case. We develop on the previously proposed "marker scheme", lifting some of the restrictions associated with the selection of goals while keeping (virtual) memory consumption down. We also review some of the other problems associated with the stack-based management scheme, such as handling of forward and backward execution, cut, and roll-backs
An abstract model for parallel execution of prolog
Logic programming has been used in a broad range of fields, from artifficial intelligence
applications to general purpose applications, with great success. Through its
declarative semantics, by making use of logical conjunctions and disjunctions, logic
programming languages present two types of implicit parallelism: and-parallelism and
or-parallelism.
This thesis focuses mainly in Prolog as a logic programming language, bringing out
an abstract model for parallel execution of Prolog programs, leveraging the Extended
Andorra Model (EAM) proposed by David H.D. Warren, which exploits the implicit
parallelism in the programming language. A meta-compiler implementation for an
intermediate language for the proposed model is also presented.
This work also presents a survey on the state of the art relating to implemented Prolog
compilers, either sequential or parallel, along with a walk-through of the current parallel
programming frameworks. The main used model for Prolog compiler implementation,
the Warren Abstract Machine (WAM) is also analyzed, as well as the WAM’s successor
for supporting parallelism, the EAM; Sumário:
Um Modelo Abstracto para
Execução Paralela de Prolog
A programação em lógica tem sido utilizada em diversas áreas, desde aplicações de
inteligência artificial até aplicações de uso genérico, com grande sucesso. Pela sua
semântica declarativa, fazendo uso de conjunções e disjunções lógicas, as linguagens de
programação em lĂłgica possuem dois tipos de paralelismo implĂcito: ou-paralelismo e
e-paralelismo.
Esta tese foca-se em particular no Prolog como linguagem de programação em lógica,
apresentando um modelo abstracto para a execução paralela de programas em Prolog,
partindo do Extended Andorra Model (EAM) proposto por David H.D. Warren, que
tira partido do paralelismo implĂcito na linguagem. É apresentada uma implementação
de um meta-compilador para uma linguagem intermédia para o modelo proposto.
É feita uma revisão sobre o estado da arte em termos de implementações sequenciais
e paralelas de compiladores de Prolog, em conjunto com uma visita pelas linguagens
para implementação de sistemas paralelos. É feita uma análise ao modelo principal
para implementação de compiladores de Prolog, a Warren Abstract Machine (WAM) e
da sua evolução para suportar paralelismo, a EAM
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