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Conquering Big Data with High Performance Computing, Arora Ritu


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Автор: Arora Ritu
Название:  Conquering Big Data with High Performance Computing
ISBN: 9783319815893
Издательство: Springer
Классификация:


ISBN-10: 331981589X
Обложка/Формат: Paperback
Страницы: 329
Вес: 0.48 кг.
Дата издания: 22.04.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 59 illustrations, color; 21 illustrations, black and white; viii, 329 p. 80 illus., 59 illus. in color.
Размер: 23.39 x 15.60 x 1.80 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: An Introduction to Big Data, High Performance Computing, High Throughput Computing, and Hadoop.- Using High Performance Computing for Conquering Big Data.- Data Movement in Data-Intensive High Performance Computing.- Using Managed High Performance Computing Systems for High Throughput Computing.- Accelerating Big Data Processing on Modern HPC Clusters.- dispel4py: An Agile Framework for Data-Intensive Methods Using HPC.- Big Data Performance Analysis Tool for HPC Applications and Scientific Clusters.- Big Data behind Big Data.- Empowering R with High Performance Computing Resources for Big Data Analytics.- Big Data Techniques as a Solution to Theory Problems.- High-Frequency Financial Statistics through High Performance Computing.- Large-scale Multi-Modal Data Exploration with Human in the Loop.- Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection.- Big Data Processing in the eDiscovery Domain.- Databases and High Performance Computing.- Conquering Big Data Through the Support of the Wrangler Supercomputer.


Conquering Big Data with High Performance Computing

Автор: Arora
Название: Conquering Big Data with High Performance Computing
ISBN: 3319337408 ISBN-13(EAN): 9783319337401
Издательство: Springer
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Цена: 22359.00 р.
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Описание:

This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.
Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.
Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
High-Performance Computing and Big Data Analysis

Автор: Lucio Grandinetti; Seyedeh Leili Mirtaheri; Reza S
Название: High-Performance Computing and Big Data Analysis
ISBN: 3030334945 ISBN-13(EAN): 9783030334949
Издательство: Springer
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Цена: 12856.00 р.
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Описание: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019.

The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.
Tools for High Performance Computing 2017

Автор: Christoph Niethammer; Michael M. Resch; Wolfgang E
Название: Tools for High Performance Computing 2017
ISBN: 3030119866 ISBN-13(EAN): 9783030119867
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to discuss the latest advances in parallel tools, held September 11-12, 2017 in Dresden, Germany.High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.

Heterogeneity, High Performance Computing, Self-Organization and the Cloud

Автор: Theo Lynn; John P. Morrison; David Kenny
Название: Heterogeneity, High Performance Computing, Self-Organization and the Cloud
ISBN: 3030093875 ISBN-13(EAN): 9783030093877
Издательство: Springer
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Цена: 3913.00 р.
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Описание: This book is open access under a CC BY NC ND license. It addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.

High Performance Computing Systems and Applications

Автор: Nikitas J. Dimopoulos; Kin F. Li
Название: High Performance Computing Systems and Applications
ISBN: 146135269X ISBN-13(EAN): 9781461352693
Издательство: Springer
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Цена: 20962.00 р.
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Описание: High Performance Computing Systems and Applications contains a selection of fully refereed papers presented at the 14th International Conference on High Performance Computing Systems and Applications held in Victoria, Canada, in June 2000.

Advances in High Performance Computing

Автор: Lucio Grandinetti; J.S. Kowalik; Mari?n Vajtersic
Название: Advances in High Performance Computing
ISBN: 9401063222 ISBN-13(EAN): 9789401063227
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on High Performance Computing: Technology and Applications, Cetraro, Italy, 24-26 June 1996

High Performance Computing: Isc High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers

Автор: Yokota Rio, Weiland Michèle, Shalf John
Название: High Performance Computing: Isc High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers
ISBN: 3030024644 ISBN-13(EAN): 9783030024642
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of 13 workshops held at the 33rd International ISC High Performance 2018 Conference, in Frankfurt, Germany, in June 2018: HPC I/O in the Data Center, HPC-IODC 2018; Workshop on Performance and Scalability of Storage Systems, WOPSSS 2018; 13th Workshop on Virtualization in High­-Performance Cloud Computing, VHPC 2018; Third International Workshop on In Situ Visualization, WOIV 2018; 4th International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, ExaComm 2018; International Workshop on OpenPOWER for HPC, IWOPH 2018; IXPUG Workshop: Many-Core Computing on Intel Processors; Workshop on Sustainable Ultrascale Computing Systems; Approximate and Transprecision Computing on Emerging Technologies, ATCET 2018; First Workshop on the Convergence of Large-Scale Simulation and Artificial Intelligence; Third Workshop for Open Source Supercomputing, OpenSuCo 2018; First Workshop on Interactive High-Performance Computing; Workshop on Performance Portable Programming Models for Accelerators, P^3MA 2018.

The 53 full papers included in this volume were carefully reviewed and selected from 80 submissions. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.
Heterogeneity, high performance computing, self-organization and the cloud

Название: Heterogeneity, high performance computing, self-organization and the cloud
ISBN: 3319760378 ISBN-13(EAN): 9783319760377
Издательство: Springer
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Цена: 3913.00 р.
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Описание: This open access book addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption.

High Performance Computing

Автор: Yokota
Название: High Performance Computing
ISBN: 3319920391 ISBN-13(EAN): 9783319920399
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 33rd International Conference, ISC High Performance 2018, held in Frankfurt, Germany, in June 2018. The 20 revised full papers presented in this book were carefully reviewed and selected from 81 submissions.

Innovative Research and Applications in Next-Generation High Performance Computing

Автор: Hassan Qusay F.
Название: Innovative Research and Applications in Next-Generation High Performance Computing
ISBN: 1522502874 ISBN-13(EAN): 9781522502876
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: High-performance computing (HPC) describes the use of connected computing units to perform complex tasks. It relies on parallelization techniques and algorithms to synchronize these disparate units in order to perform faster than a single processor could, alone. Used in industries from medicine and research to military and higher education, this method of computing allows for users to complete complex data-intensive tasks. This field has undergone many changes over the past decade, and will continue to grow in popularity in the coming years.Innovative Research Applications in Next-Generation High Performance Computing aims to address the future challenges, advances, and applications of HPC and related technologies. As the need for such processors increases, so does the importance of developing new ways to optimize the performance of these supercomputers. This timely publication provides comprehensive information for researchers, students in ICT, program developers, military and government organizations, and business professionals.

Fair Scheduling in High Performance Computing Environments

Автор: Sedighi Art, Smith Milton
Название: Fair Scheduling in High Performance Computing Environments
ISBN: 3030145670 ISBN-13(EAN): 9783030145675
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:i. Class A – similar but complementary workloadsii. Class B – similar but steady vs intermittent workloadsiii. Class C – Large vs small workloadsiv. Class D – Large vs noise-like workloadsThis new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases.A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler.

Operating Systems for Supercomputers and High Performance Computing

Автор: Gerofi Balazs, Ishikawa Yutaka, Riesen Rolf
Название: Operating Systems for Supercomputers and High Performance Computing
ISBN: 9811366233 ISBN-13(EAN): 9789811366239
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Few works are as timely and critical to the advancement of high performance computing than is this new up-to-date treatise on leading-edge directions of operating systems. It is a first-hand product of many of the leaders in this rapidly evolving field and possibly the most comprehensive.This new and important book masterfully presents the major alternative concepts driving the future of operating system design for high performance computing. In particular, it describes the major advances of monolithic operating systems such as Linux and Unix that dominate the TOP500 list. It also presents the state of the art in lightweight kernels that exhibit high efficiency and scalability at the loss of generality. Finally, this work looks forward to possibly the most promising strategy of a hybrid structure combining full service functionality with lightweight kernel operation. With this, it is likely that this new work will find its way on the shelves of almost everyone who is in any way engaged in the multi-discipline of high performance computing.(From the foreword by Thomas Sterling)


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