Artigo Revisado por pares

Computer Architectures for Artificial Intelligence Processing

1987; IEEE Computer Society; Volume: 20; Issue: 1 Linguagem: Inglês

10.1109/mc.1987.1663352

ISSN

1558-0814

Autores

Kai Hwang, Ghosh, Chowkwanyun,

Tópico(s)

Computability, Logic, AI Algorithms

Resumo

This article assesses different architectural approaches to the design of computers for artificial intelligence (AI) applications. The authors provide a classification scheme that highlights the relationship between the application domains and hardware realization of AI-oriented computer systems, as well as a comparison of AI machines and numerical computers. The emphasis is on three architectural classes: multiprocessors that support interactive MIMD (multiple-instruction stream and multiple-data stream) operations through a shared memory space; multicomputers that support multiple SISD (single-instruction stream and single-data stream) operations by means of message passing among distributed processors with local memories; and multipurpose computers consisting of a large number of fine-grain processor-memory nodes operating in an SIMD (single-instruction stream and multiple-data stream), a multiple SIMD, or an MIMD fashion.

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