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DAOS - Scalable And-Or parallelism

Title
DAOS - Scalable And-Or parallelism
Type
Article in International Scientific Journal
Year
1999
Authors
Castro, LF
(Author)
Other
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Costa, VS
(Author)
FCUP
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Geyer, CFR
(Author)
Other
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Vargas, PK
(Author)
Other
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Journal
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Vol. 39
Pages: 899-908
Indexing
Scientific classification
FOS: Natural sciences > Computer and information sciences
Other information
Authenticus ID: P-001-5KG
Abstract (EN): This paper presents DAOS, a model for exploitation of Andand Or-parallelism in logic programs. DAOS assumes a physically distributed memory environment and a logically shared address space. Exploiting both major forms of implicit parallelism should serve a broadest range of applications. Besides, a model that uses a distributed memory environment provides scalability and can be implemented over a computer network. However, distributed implementations of logic programs have to deal with communication overhead and inherent complexity of distributed memory managent. DAOS overcomes those problems through the use of a distributed shared memory layer to provide single-writer, multiple-readers sharing for the main execution stacks combined with explicit message passing for work distribution and management.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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