Exploiting parallelism in primitive operations on bulk data types

Autor:	Simon Lavington, Neil Dewhurst, Jerome Robinson, M. E. Waite
Rok vydání:	1992
Předmět:	Theoretical computer science Data parallelism Programming language Computer science Deductive database Systems architecture Task parallelism Data architecture Tuple Instruction-level parallelism computer.software_genre computer Data type
Zdroj:	PARLE '92 Parallel Architectures and Languages Europe ISBN: 9783540555995 PARLE
DOI:	10.1007/3-540-55599-4_131
Popis:	Structures based on tuples may be used to represent the common bulk data types found in symbolic applications. Few languages support primitive operations that handle such structures explicitly, and fewer support them as persistent objects. Even when relevant data types are accommodated at the language level, implementations are very inefficient because of the lack of underlying systems architecture support. The result is over-complex software and missed opportunities to exploit the inherent data-parallelism present in these structures. In this paper we propose a representational framework, a repertoire of primitive operations, and a systems architecture for handling the bulk data types relevant to (deductive) databases and knowledge-based applications. We indicate the opportunities for exploiting inherent parallelism, and briefly report on prototype novel parallel hardware which supports the structure primitives.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2aea5bdc8cbf0b97b56d3d5ccaf2e9eb https://doi.org/10.1007/3-540-55599-4_131 Zobrazit plný text záznamu