High Performance Big Data Computing

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High-Performance Big Data Computing

Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
High Performance Big Data Computing Book PDF

Author : Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar
Publisher : MIT Press
Page : 275 pages
File Size : 43,6 Mb
Release : 2022-08-02
Category : Computers
ISBN : 9780262369428

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High-Performance Big Data Computing by Dhabaleswar K. Panda,Xiaoyi Lu,Dipti Shankar Pdf

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

High-Performance Big-Data Analytics

Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala
High Performance Big Data Analytics Book PDF

Author : Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala
Publisher : Springer
Page : 428 pages
File Size : 48,7 Mb
Release : 2015-10-16
Category : Computers
ISBN : 9783319207445

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High-Performance Big-Data Analytics by Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala Pdf

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.

High-Performance Modelling and Simulation for Big Data Applications

Joanna Kołodziej,Horacio González-Vélez
High Performance Modelling and Simulation for Big Data Applications Book PDF

Author : Joanna Kołodziej,Horacio González-Vélez
Publisher : Springer
Page : 364 pages
File Size : 46,7 Mb
Release : 2019-03-25
Category : Computers
ISBN : 9783030162726

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High-Performance Modelling and Simulation for Big Data Applications by Joanna Kołodziej,Horacio González-Vélez Pdf

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

High Performance Computing for Big Data

Chao Wang
High Performance Computing for Big Data Book PDF

Author : Chao Wang
Publisher : CRC Press
Page : 430 pages
File Size : 55,8 Mb
Release : 2017-10-16
Category : Computers
ISBN : 9781351651578

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High Performance Computing for Big Data by Chao Wang Pdf

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

Big Data and High Performance Computing

L. Grandinetti,G.R. Joubert,M. Kunze
Big Data and High Performance Computing Book PDF

Author : L. Grandinetti,G.R. Joubert,M. Kunze
Publisher : IOS Press
Page : 168 pages
File Size : 47,9 Mb
Release : 2015-10-20
Category : Computers
ISBN : 9781614995838

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Big Data and High Performance Computing by L. Grandinetti,G.R. Joubert,M. Kunze Pdf

Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science

Conquering Big Data with High Performance Computing

Ritu Arora
Conquering Big Data with High Performance Computing Book PDF

Author : Ritu Arora
Publisher : Springer
Page : 329 pages
File Size : 55,7 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319337425

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Conquering Big Data with High Performance Computing by Ritu Arora Pdf

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 for Big Data

Chao Wang
High Performance Computing for Big Data Book PDF

Author : Chao Wang
Publisher : CRC Press
Page : 430 pages
File Size : 47,5 Mb
Release : 2017-10-16
Category : Computers
ISBN : 9781351651578

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High Performance Computing for Big Data by Chao Wang Pdf

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

Industrial Applications of High-Performance Computing

Anwar Osseyran,Merle Giles
Industrial Applications of High Performance Computing Book PDF

Author : Anwar Osseyran,Merle Giles
Publisher : CRC Press
Page : 410 pages
File Size : 42,9 Mb
Release : 2015-04-01
Category : Computers
ISBN : 9781466596818

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Industrial Applications of High-Performance Computing by Anwar Osseyran,Merle Giles Pdf

Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computing (HPC) for industrial applications, along with a discussion of software challenges, business models, access models (e.g., cloud computing), public-private partnerships, simulation and modeling, visualization, big data analysis, and governmental and industrial influence. Featuring the contributions of leading experts from 11 different countries, this authoritative book: Provides a brief history of the development of the supercomputer Describes the supercomputing environments of various government entities in terms of policy and service models Includes a case study section that addresses more subtle and technical aspects of industrial supercomputing Shows how access to supercomputing matters, and how supercomputing can be used to solve large-scale and complex science and engineering problems Emphasizes the need for collaboration between companies, political organizations, government agencies, and entire nations Industrial Applications of High-Performance Computing: Best Global Practices supplies computer engineers and researchers with a state-of-the-art supercomputing reference. This book also keeps policymakers and industrial decision-makers informed about the economic impact of these powerful technological investments.

New Frontiers in High Performance Computing and Big Data

G. Fox,V. Getov,L. Grandinetti
New Frontiers in High Performance Computing and Big Data Book PDF

Author : G. Fox,V. Getov,L. Grandinetti
Publisher : IOS Press
Page : 272 pages
File Size : 55,6 Mb
Release : 2017-11-14
Category : Computers
ISBN : 9781614998167

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New Frontiers in High Performance Computing and Big Data by G. Fox,V. Getov,L. Grandinetti Pdf

For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc. This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed. The book will be of particular interest to all those involved in the development or application of parallel computing systems.

Big Data and HPC: Ecosystem and Convergence

L. Grandinetti,S.L. Mirtaheri,R. Shahbazian
Big Data and HPC Ecosystem and Convergence Book PDF

Author : L. Grandinetti,S.L. Mirtaheri,R. Shahbazian
Publisher : IOS Press
Page : 338 pages
File Size : 43,9 Mb
Release : 2018-08-22
Category : Computers
ISBN : 9781614998822

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Big Data and HPC: Ecosystem and Convergence by L. Grandinetti,S.L. Mirtaheri,R. Shahbazian Pdf

Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core; GPU and hybrid distributed environments; and unstructured data processing with high-performance computing. This book presents 19 selected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale era, held in Tehran, Iran, in April 2017. The book is divided into 3 sections: State of the Art and Future Scenarios, Big Data Challenges, and HPC Challenges, and will be of interest to all those whose work involves the processing of Big Data and the use of HPC.

Big Data Computing

Rajendra Akerkar
Big Data Computing Book PDF

Author : Rajendra Akerkar
Publisher : CRC Press
Page : 566 pages
File Size : 47,7 Mb
Release : 2013-12-05
Category : Business & Economics
ISBN : 9781466578371

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Big Data Computing by Rajendra Akerkar Pdf

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries

Big Data Computing

Tanvir Habib Sardar,Bishwajeet Kumar Pandey
Big Data Computing Book PDF

Author : Tanvir Habib Sardar,Bishwajeet Kumar Pandey
Publisher : CRC Press
Page : 397 pages
File Size : 52,5 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781003822721

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Big Data Computing by Tanvir Habib Sardar,Bishwajeet Kumar Pandey Pdf

This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others. Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.

Social Sensing and Big Data Computing for Disaster Management

Zhenlong Li,Qunying Huang,Christopher T. Emrich
Social Sensing and Big Data Computing for Disaster Management Book PDF

Author : Zhenlong Li,Qunying Huang,Christopher T. Emrich
Publisher : Routledge
Page : 233 pages
File Size : 43,8 Mb
Release : 2020-12-17
Category : Social Science
ISBN : 9781000261530

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Social Sensing and Big Data Computing for Disaster Management by Zhenlong Li,Qunying Huang,Christopher T. Emrich Pdf

Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Resource Management for Big Data Platforms

Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Resource Management for Big Data Platforms Book PDF

Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Publisher : Springer
Page : 516 pages
File Size : 51,6 Mb
Release : 2016-10-27
Category : Computers
ISBN : 9783319448817

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Resource Management for Big Data Platforms by Florin Pop,Joanna Kołodziej,Beniamino Di Martino Pdf

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Advances in High Performance Computing

Ivan Dimov,Stefka Fidanova
Advances in High Performance Computing Book PDF

Author : Ivan Dimov,Stefka Fidanova
Publisher : Springer Nature
Page : 464 pages
File Size : 46,5 Mb
Release : 2020-08-07
Category : Technology & Engineering
ISBN : 9783030553470

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Advances in High Performance Computing by Ivan Dimov,Stefka Fidanova Pdf

Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks. The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019. This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms. The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.