Database Machines and Knowledge Base Machines

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I Project Research for Knowledge Base Machines. - ICM3: Design and Evaluation of an Inference Crunching Machine. - Knowledge Base Machine Based on Parallel Kernel Language. - KEV-A Kernel for Bubba. - II Database Machines. - Hypercube and Vector Database Machines. - IDP-A Main Storage Based Vector Database Processor. - Join on a Cube: Analysis Simulation and Implementation. - Design of a HyperKYKLOS-based Multiprocessor Architecture for High-Performance Join Operations. - Sorting Machines. - Design and Implementation of High Speed Pipeline Merge Sorter with Run Length Tuning Mechanism. - Algorithms for Sorting and Sort-Based Database Operations Using a Special-Function Unit. - Parallel Partition Sort for Database Machines. - Concurrency Control. - Distributing the Optimistic Multiversioning Page Manager in the JASMIN Database Machine. - Multi-Wait Two-Phase Locking Mechanism and Its Hardware Implementation. - Performance Evaluation of Several Cautious Schedulers for Database Concurrency Control. - VLSI-based Database Machines. - The Database Processor RAPID'. - A Bus Connected Cellular Array Processing Unit for Relational Database Machines. - A Network Algorithm for Relational Database Operations. - Parallel Execution and Control of Database Machines. - The Impact of the Interconnecting Network on Parallel Database Computers. - Dynamically Partitionable Parallel Processors: The Key for Cost-Efficient High Transaction Throughput. - A High Speed Database Machine-HDM. - Filter Processors. - A High Performance VLSI Data Filter. - Design Implementation and Evaluation of a Relational Database Engine for Variable Length Records. - A Filter Processor as Part of an Intelligent Disk Controller. - Intelligent String Search Processor to Accelerate Text Information Retrieval. - Main Memory DatabaseMachines. - The Silicon Database Machine: Rationale Design and Results. - MARS: The Design of a Main Memory Database Machine. - MACH: Much Faster Associative Machine. - A Distributed Main-Memory Database Machine: Research Issues and a Preliminary Architecture. - Performance Evaluation. - A Single User Evaluation of the Gamma Database Machine. - Performance Projections for a Relational Query Processor. - Analytical Performance Evaluation of Relational Database Machines. - Algebra Operations on a Parallel ComputerPerformance Evaluation. - Memory and Disk Management. - Experiments with Data Access and Data Placement Strategies for Multi-Computer Database Systems. - Set-Oriented Memory Management in a Multiprocessor Database Machine. - Parallel Execution Strategies for Declustered Databases. - III Knowledge Base Machines. - Query Processing Strategy for Deductive Database Machines. - A Stream-Oriented Approach to Parallel Processing for Deductive Databases. - DDC: A Deductive Database Machine. - An Inference Model and a Tree-Structured Multicomputer System for Large Data-Intensive Logic Bases. - AI Machines. - A Shared Memory Architecture for MANJI Production System Machine. - A Real-Time Production System Architecture Using 3-D VLSI Technology. - Architectural Evaluation of a Semantic Network Machine. - Architectural Support for Deductive Database Machines. - An Architecture for Very Large Rule Bases Based on Surrogate Files. - A Superimposed Code Scheme for Deductive Databases. - A Simulation Study of a Knowledge Base Machine Architecture. - Prolog Machines. - Implementing Parallel Prolog System on Multiprocessor System PARK. - Search Strategy for Prolog Data Bases. - The Unification Processor by Pipeline Method. - Extended Model for Database and Knowledge Base. - Knowledge-Based System forConceptual Schema Design on a Multi-Model Database Machine. - An Algebraic Deductive Database Managing a Mass of Rule Clauses. - An Approach for Customizing Services of Database Machines. Language: English

Brand Unbranded
Artist Kitsuregawa Masaru
Format Paperback
Language English
Publication Date 2011/10/13
Publisher / Label Springer Us
Number of Pages 688
Product ID 337891689-741551000
ISBN 9781461289487
$18.99 STANDARD: Estimated delivery date Mon 06 July 2026Thu 09 July 2026

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