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ORCID: https://orcid.org/0000-0002-7583-323X
(1990).
Task granularity analysis in logic programs.
En: "ACM SIGPLAN 1990 conference on Programming language design and implementation", June 20-22, 1990, White Plains, New York, USA. ISBN 0897913647.
| Título: | Task granularity analysis in logic programs |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | ACM SIGPLAN 1990 conference on Programming language design and implementation |
| Fechas del Evento: | June 20-22, 1990 |
| Lugar del Evento: | White Plains, New York, USA |
| Título del Libro: | PLDI '90 Proceedings of the ACM SIGPLAN 1990 conference on Programming language design and implementation |
| Fecha: | Junio 1990 |
| ISBN: | 0897913647 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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While logic programming languages offer a great deal of scope for parallelism, there is usually some overhead associated with the execution of goals in parallel because of the work involved in task creation and scheduling. In practice, therefore, the "granularity" of a goal, i.e. an estimate of the work available under it, should be taken into account when deciding whether or not to execute a goal concurrently as a sepárate task. This paper describes a method for estimating the granularity of a goal at compile time. The runtime overhead associated with our approach is usually quite small, and the performance improvements resulting from the incorporation of grainsize control can be quite good. This is shown by means of experimental results.
| ID de Registro: | 14490 |
|---|---|
| Identificador DC: | https://oa.upm.es/14490/ |
| Identificador OAI: | oai:oa.upm.es:14490 |
| URL Oficial: | http://dl.acm.org/citation.cfm?id=93564 |
| Depositado por: | Biblioteca Facultad de Informatica |
| Depositado el: | 15 Feb 2013 07:59 |
| Ultima Modificación: | 27 Feb 2023 12:03 |
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