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High-Performance Parallel Database Processing and Grid Databases

High-Performance Parallel Database Processing and Grid Databases
Author: David Taniar
Publisher: John Wiley & Sons
Total Pages: 575
Release: 2008-09-17
Genre: Computers
ISBN: 0470391359

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The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.


Parallel Database Systems

Parallel Database Systems
Author: David J. DeWitt
Publisher:
Total Pages: 15
Release: 1990
Genre: Database management
ISBN:

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Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education

Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education
Author: Despotovi?-Zraki?, Marijana
Publisher: IGI Global
Total Pages: 476
Release: 2014-03-31
Genre: Computers
ISBN: 1466657855

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As information systems used for research and educational purposes have become more complex, there has been an increase in the need for new computing architecture. High performance and cloud computing provide reliable and cost-effective information technology infrastructure that enhances research and educational processes. Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education presents the applications of cloud computing in various settings, such as scientific research, education, e-learning, ubiquitous learning, and social computing. Providing various examples, practical solutions, and applications of high performance and cloud computing; this book is a useful reference for professionals and researchers discovering the applications of information and communication technologies in science and education, as well as scholars seeking insight on how modern technologies support scientific research.


High Performance Heterogeneous Computing

High Performance Heterogeneous Computing
Author: Jack Dongarra
Publisher: John Wiley & Sons
Total Pages: 284
Release: 2009-08-11
Genre: Computers
ISBN: 0470508191

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An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts: Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming Issues Performance Models of Heterogeneous Platforms and Design of Heterogeneous Algorithms Performance: Implementation and Software Applications Future Tre High Performance Heterogeneous Computing is a valuable¿reference for researchers and practitioners in the area of high performance heterogeneous computing. It also serves as an excellent supplemental text for graduate and postgraduate courses in related areas.


High-Performance Computing on Complex Environments

High-Performance Computing on Complex Environments
Author: Emmanuel Jeannot
Publisher: John Wiley & Sons
Total Pages: 512
Release: 2014-04-10
Genre: Computers
ISBN: 1118712072

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With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and programmed has drastically changed. It is important to provide a comprehensive study on how to use such machines written by specialists of the domain. The book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems, detailed studies on the impact of applying heterogeneous computing practices to real problems, and applications varying from remote sensing to tomography. The content spans topics such as Numerical Analysis for Heterogeneous and Multicore Systems; Optimization of Communication for High Performance Heterogeneous and Hierarchical Platforms; Efficient Exploitation of Heterogeneous Architectures, Hybrid CPU+GPU, and Distributed Systems; Energy Awareness in High-Performance Computing; and Applications of Heterogeneous High-Performance Computing. • Covers cutting-edge research in HPC on complex environments, following an international collaboration of members of the ComplexHPC • Explains how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems • Twenty-three chapters and over 100 illustrations cover domains such as numerical analysis, communication and storage, applications, GPUs and accelerators, and energy efficiency


High-Performance Big-Data Analytics

High-Performance Big-Data Analytics
Author: Pethuru Raj
Publisher: Springer
Total Pages: 443
Release: 2015-10-16
Genre: Computers
ISBN: 331920744X

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This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.


Transactions on Large-Scale Data- and Knowledge-Centered Systems I

Transactions on Large-Scale Data- and Knowledge-Centered Systems I
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 382
Release: 2009-08-24
Genre: Computers
ISBN: 3642037224

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Data management, knowledge discovery, and knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises, enhancing their performance and their decision making processes. Since the 1990s the Internet has been the outstanding driving force for application development in all domains. An increase in the demand for resource sharing (e. g. , computing resources, s- vices, metadata, data sources) across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications prov- ing high scalability. Current decentralized systems still focus on data and knowledge as their main resource characterized by: heterogeneity of nodes, data, and knowledge autonomy of data and knowledge sources and services large-scale data volumes, high numbers of data sources, users, computing resources dynamicity of nodes These characteristics recognize: (i) limitations of methods and techniques developed for centralized systems (ii) requirements to extend or design new approaches and methods enhancing efficiency, dynamicity, and scalability (iii) development of large scale, experimental platforms and relevant benchmarks to evaluate and validate scaling Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and agent systems supporting with scaling and decentralized control. Synergy between Grids, P2P systems and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.


Advances in Intelligent Networking and Collaborative Systems

Advances in Intelligent Networking and Collaborative Systems
Author: Leonard Barolli
Publisher: Springer Nature
Total Pages: 351
Release: 2021-08-06
Genre: Technology & Engineering
ISBN: 3030849104

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This book provides latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems. With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.


Transactions on Large-Scale Data- and Knowledge-Centered Systems V

Transactions on Large-Scale Data- and Knowledge-Centered Systems V
Author: Abdelkader Hameurlain
Publisher: Springer Science & Business Media
Total Pages: 230
Release: 2012-02-10
Genre: Business & Economics
ISBN: 3642281478

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This fifth issue of the LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems offers nine full-length focusing on such hot topics as data management, knowledge discovery, and knowledge processing.


Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection

Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
Author: Koh, Yun Sing
Publisher: IGI Global
Total Pages: 320
Release: 2009-08-31
Genre: Business & Economics
ISBN: 1605667552

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"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.