New Frontiers In High Performance Computing And Big Data

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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 : 49,9 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.

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 : 50,7 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 : 53,5 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

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 : 49,7 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.

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 : 48,5 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.

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 : 40,5 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.

Future Trends of HPC in a Disruptive Scenario

L. Grandinetti,G.R. Joubert,K. Michielsen
Future Trends of HPC in a Disruptive Scenario Book PDF

Author : L. Grandinetti,G.R. Joubert,K. Michielsen
Publisher : IOS Press
Page : 286 pages
File Size : 54,9 Mb
Release : 2019-09-27
Category : Computers
ISBN : 9781614999997

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Future Trends of HPC in a Disruptive Scenario by L. Grandinetti,G.R. Joubert,K. Michielsen Pdf

The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.

Parallel Computing is Everywhere

S. Bassini,M. Danelutto,P. Dazzi
Parallel Computing is Everywhere Book PDF

Author : S. Bassini,M. Danelutto,P. Dazzi
Publisher : IOS Press
Page : 852 pages
File Size : 50,9 Mb
Release : 2018-03-07
Category : Computers
ISBN : 9781614998433

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Parallel Computing is Everywhere by S. Bassini,M. Danelutto,P. Dazzi Pdf

The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.

Deep Learning for Image Processing Applications

D.J. Hemanth,V. Vieira Estrela
Deep Learning for Image Processing Applications Book PDF

Author : D.J. Hemanth,V. Vieira Estrela
Publisher : IOS Press
Page : 284 pages
File Size : 55,7 Mb
Release : 2017-12
Category : Computers
ISBN : 9781614998228

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Deep Learning for Image Processing Applications by D.J. Hemanth,V. Vieira Estrela Pdf

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.

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 : 44,8 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.

High Performance Computing

Michèle Weiland,Guido Juckeland,Carsten Trinitis,Ponnuswamy Sadayappan
High Performance Computing Book PDF

Author : Michèle Weiland,Guido Juckeland,Carsten Trinitis,Ponnuswamy Sadayappan
Publisher : Springer
Page : 352 pages
File Size : 46,9 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9783030206567

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High Performance Computing by Michèle Weiland,Guido Juckeland,Carsten Trinitis,Ponnuswamy Sadayappan Pdf

This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019. The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC.

Cloud Computing and Big Data

C. Catlett,W. Gentzsch,L. Grandinetti
Cloud Computing and Big Data Book PDF

Author : C. Catlett,W. Gentzsch,L. Grandinetti
Publisher : IOS Press
Page : 260 pages
File Size : 48,9 Mb
Release : 2013-10-22
Category : Computers
ISBN : 9781614993223

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Cloud Computing and Big Data by C. Catlett,W. Gentzsch,L. Grandinetti Pdf

Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.

New Frontiers in Cloud Computing and Internet of Things

Rajkumar Buyya,Lalit Garg,Giancarlo Fortino,Sanjay Misra
New Frontiers in Cloud Computing and Internet of Things Book PDF

Author : Rajkumar Buyya,Lalit Garg,Giancarlo Fortino,Sanjay Misra
Publisher : Springer Nature
Page : 410 pages
File Size : 48,8 Mb
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9783031055287

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New Frontiers in Cloud Computing and Internet of Things by Rajkumar Buyya,Lalit Garg,Giancarlo Fortino,Sanjay Misra Pdf

This book provides an account of the latest developments in IoT and cloud computing, and their practical applications in various industrial, scientific, business, education, and government domains. The book covers the advanced research and state of the art review of the latest developments in IoT and cloud computing and how they might be employed post-COVID era. The book also identifies challenges and their solutions in this era, shaping the direction for future research and offering emerging topics to investigate further. The book serves as a reference for a broader audience such as researchers, application designers, solution architects, teachers, graduate students, enthusiasts, practitioners, IT managers, decision-makers and policymakers. The book editors are pioneers in the fields of IoT and Cloud computing. ​Provides an account of the latest developments in IoT and cloud computing and how it can aid in a COVID-19 Era in a variety of applications; Identifies IoT and cloud computing challenges and their solutions, shaping the direction for future research; Serves as a reference for researchers, application designers, solution architects, teachers, and graduate students.

Supercomputing Frontiers

Rio Yokota,Weigang Wu
Supercomputing Frontiers Book PDF

Author : Rio Yokota,Weigang Wu
Publisher : Springer
Page : 293 pages
File Size : 44,6 Mb
Release : 2018-03-20
Category : Computers
ISBN : 9783319699530

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Supercomputing Frontiers by Rio Yokota,Weigang Wu Pdf

It constitutes the refereed proceedings of the 4th Asian Supercomputing Conference, SCFA 2018, held in Singapore in March 2018. Supercomputing Frontiers will be rebranded as Supercomputing Frontiers Asia (SCFA), which serves as the technical programme for SCA18. The technical programme for SCA18 consists of four tracks: Application, Algorithms & Libraries Programming System Software Architecture, Network/Communications & Management Data, Storage & Visualisation The 20 papers presented in this volume were carefully reviewed nd selected from 60 submissions.

High-Performance Computing and Big Data Analysis

Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Shahbazian
High Performance Computing and Big Data Analysis Book PDF

Author : Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Shahbazian
Publisher : Springer Nature
Page : 514 pages
File Size : 50,9 Mb
Release : 2019-10-19
Category : Computers
ISBN : 9783030334956

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High-Performance Computing and Big Data Analysis by Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Shahbazian Pdf

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.