Titlebook: Database Machines and Knowledge Base Machines; Masaru Kitsuregawa,Hidehiko Tanaka Book 1988 Kluwer Academic Publishers, Boston 1988 Prolog

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書目名稱Database Machines and Knowledge Base Machines影響因子(影響力)




書目名稱Database Machines and Knowledge Base Machines影響因子(影響力)學(xué)科排名




書目名稱Database Machines and Knowledge Base Machines網(wǎng)絡(luò)公開度




書目名稱Database Machines and Knowledge Base Machines網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Machines and Knowledge Base Machines被引頻次




書目名稱Database Machines and Knowledge Base Machines被引頻次學(xué)科排名




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書目名稱Database Machines and Knowledge Base Machines年度引用學(xué)科排名




書目名稱Database Machines and Knowledge Base Machines讀者反饋




書目名稱Database Machines and Knowledge Base Machines讀者反饋學(xué)科排名

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Knowledge Base Machine Based on Parallel Kernel Languageidea of parallel logic programming, a parallel kernel language (PKL) has been developed for the Fifth Generation Computer System (.) project. Our KBM is based on the PKL. It has a parallel inference mechanism and a parallel retrieval mechanism which are controlled by an operating system.

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KEV — A Kernel for Bubbabba a set of requirements for KEV is presented. Our requirements are contrasted with the requirements for conventional, uniprocessor database systems as outlined by Gray, Stonebraker and others. The KEV design is then presented and its features are compared to other distributed operating systems.

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Book 1988base Machines and Knowledge Base Machines. Reports of major projects, ECRC, MCC, and ICOT are included. Topics on DBM cover new database machine architectures based on vector processing and hypercube parallel processing, VLSI oriented architecture, filter processor, sorting machine, concurrency cont

MUMP

Of Blues Narratives and Conjure Magic,ne, then the architecture of ICM3, emphasizing its unique features (asynchronous prefetch unit, dereferencing and unification unit). Some functional and gate level simulation results follow. We conclude with comments on what we learned from ICM3, and introduce the next project under way at ECRC, in the Computer Architecture Group.

MUMP

ICM3: Design and evaluation of an Inference Crunching Machinene, then the architecture of ICM3, emphasizing its unique features (asynchronous prefetch unit, dereferencing and unification unit). Some functional and gate level simulation results follow. We conclude with comments on what we learned from ICM3, and introduce the next project under way at ECRC, in the Computer Architecture Group.

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Knowledge Base Machine Based on Parallel Kernel Languageidea of parallel logic programming, a parallel kernel language (PKL) has been developed for the Fifth Generation Computer System (.) project. Our KBM is based on the PKL. It has a parallel inference mechanism and a parallel retrieval mechanism which are controlled by an operating system.

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