A New Era in Computation

A New Era in Computation PDF Author: Nicholas Metropolis
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 266

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Book Description
The transition from serial to parallel computing in which many operations are performed simultaneously and at tremendous speed, marks a new era in computation. These original essays explore the emerging modalities and potential impact of this technological revolution. Daniel Hillis, inventor of the superfast Connection Machine®, provides a clear explanation of massively parallel computing. The essays that follow investigate the rich possibilities, as well as the constraints, that parallel computation holds for the future. These possibilities include its tremendous potential for simulating currently intractable physical processes and for solving "monster" scientific problems (involving new algorithms and ways of thinking about problem solving that will change the way we think about the world), and its use in the neural sciences (where the biological model for parallel computation is the brain). Essays also address the gap between the promise of this new technology and our current educational system and look at America's technological agenda for the 1990s. Daniel Hillis is Chief Scientist and James Bailey is Director of Marketing, both at Thinking Machines Corporation. Selected Essays:Preface,Stephen R. Graubard. What is Massively Parallel Computing, and Why Is It Important?W. Daniel Hillis. Complex Adaptive Systems, John H. Holland. Perspectives on Parallel Computing, Yuefan Deng, James Glimm, David H. Sharp. Parallel Billiards and Monster Systems, Brosl Hasslacher. First We Reshape Our Computers, Then Our Computers Reshape Us: The Broader Intellectual Impact of Parallelism, James Bailey. Parallelism in Conscious Experience. Robert Sokolowski. Of Time, Intelligence, and Institutions, Felix E. Browder. Parallel Computing and Education,Geoffrey C. Fox. The Age of Computing: A Personal Memoir, N. Metropolis. What Should the Public Know about Mathematics? Philip J. Davis. America's Economic-Technological Agenda for the 1990s,Jacob T. Schwartz. A Daedalus special issue

A New Era in Computation

A New Era in Computation PDF Author: Nicholas Metropolis
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 266

Get Book Here

Book Description
The transition from serial to parallel computing in which many operations are performed simultaneously and at tremendous speed, marks a new era in computation. These original essays explore the emerging modalities and potential impact of this technological revolution. Daniel Hillis, inventor of the superfast Connection Machine®, provides a clear explanation of massively parallel computing. The essays that follow investigate the rich possibilities, as well as the constraints, that parallel computation holds for the future. These possibilities include its tremendous potential for simulating currently intractable physical processes and for solving "monster" scientific problems (involving new algorithms and ways of thinking about problem solving that will change the way we think about the world), and its use in the neural sciences (where the biological model for parallel computation is the brain). Essays also address the gap between the promise of this new technology and our current educational system and look at America's technological agenda for the 1990s. Daniel Hillis is Chief Scientist and James Bailey is Director of Marketing, both at Thinking Machines Corporation. Selected Essays:Preface,Stephen R. Graubard. What is Massively Parallel Computing, and Why Is It Important?W. Daniel Hillis. Complex Adaptive Systems, John H. Holland. Perspectives on Parallel Computing, Yuefan Deng, James Glimm, David H. Sharp. Parallel Billiards and Monster Systems, Brosl Hasslacher. First We Reshape Our Computers, Then Our Computers Reshape Us: The Broader Intellectual Impact of Parallelism, James Bailey. Parallelism in Conscious Experience. Robert Sokolowski. Of Time, Intelligence, and Institutions, Felix E. Browder. Parallel Computing and Education,Geoffrey C. Fox. The Age of Computing: A Personal Memoir, N. Metropolis. What Should the Public Know about Mathematics? Philip J. Davis. America's Economic-Technological Agenda for the 1990s,Jacob T. Schwartz. A Daedalus special issue

Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management

Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management PDF Author: Shen, Yushi
Publisher: IGI Global
ISBN: 1466648023
Category : Computers
Languages : en
Pages : 336

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Book Description
Cloud computing is becoming the next revolution in the IT industry; providing central storage for internet data and services that have the potential to bring data transmission performance, security and privacy, data deluge, and inefficient architecture to the next level. Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management discusses cloud computing as an emerging technology and its critical role in the IT industry upgrade and economic development in the future. This book is an essential resource for business decision makers, technology investors, architects and engineers, and cloud consumers interested in the cloud computing future.

Applications, Tools and Techniques on the Road to Exascale Computing

Applications, Tools and Techniques on the Road to Exascale Computing PDF Author: Koen de Bosschere
Publisher: IOS Press
ISBN: 1614990409
Category : Computers
Languages : en
Pages : 688

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Book Description
Single processing units have now reached a point where further major improvements in their performance are restricted by their physical limitations. This is causing a slowing down in advances at the same time as new scientific challenges are demanding exascale speed. This has meant that parallel processing has become key to High Performance Computing (HPC). This book contains the proceedings of the 14th biennial ParCo conference, ParCo2011, held in Ghent, Belgium. The ParCo conferences have traditionally concentrated on three main themes: Algorithms, Architectures and Applications. Nowadays though, the focus has shifted from traditional multiprocessor topologies to heterogeneous and manycores, incorporating standard CPUs, GPUs (Graphics Processing Units) and FPGAs (Field Programmable Gate Arrays). These platforms are, at a higher abstraction level, integrated in clusters, grids and clouds. The papers presented here reflect this change of focus. New architectures, programming tools and techniques are also explored, and the need for exascale hardware and software was also discussed in the industrial session of the conference.This book will be of interest to all those interested in parallel computing today, and progress towards the exascale computing of tomorrow.

Cloud Computing For Dummies

Cloud Computing For Dummies PDF Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
ISBN: 1119546656
Category : Computers
Languages : en
Pages : 322

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Book Description
Get your head—and your business—into the Cloud Cloud computing is no longer just a clever new toy in the world of IT infrastructure. Despite the nebulous name, it’s become a real and important part of our information architecture—and tech professionals who ignore it or try to skim their way through risk falling behind rapidly. The new edition of Cloud Computing For Dummies gets you up to speed fast, clarifying your Cloud options, showing you where can save you time and money, giving you ways to frame your decisions, and helping you avoid weeks of research. In a friendly, easy-to-follow style, Cloud Computing For Dummies, 2nd Edition demystifies the Cloud’s virtual landscape, breaking up a complex and multi-layered topic into simple explanations that will make the various benefits clear and ultimately guide you toward making the most appropriate choices for your organization. Know the business case for the Cloud Understand hybrid and multi-cloud options Develop your Cloud strategy Get tips on best practices The Cloud is everywhere, and it can deliver amazing benefits to our lives and businesses. Get a much clearer vision of exactly how with Cloud Computing For Dummies—and you’ll begin to see that the sky really is the limit!

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing PDF Author: Punit Gupta
Publisher: CRC Press
ISBN: 1003859038
Category : Computers
Languages : en
Pages : 253

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Book Description
In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include: A general introduction to soft computing An extensive literature study of soft computing techniques and emerging trends Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction An IoT based framework for real time data collection and analysis using soft computing

High-Performance Big Data Computing

High-Performance Big Data Computing PDF Author: Dhabaleswar K. Panda
Publisher: MIT Press
ISBN: 0262369427
Category : Computers
Languages : en
Pages : 275

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Book Description
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.

Advances of DNA Computing in Cryptography

Advances of DNA Computing in Cryptography PDF Author: Suyel Namasudra
Publisher: CRC Press
ISBN: 1351011405
Category : Computers
Languages : en
Pages : 199

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Book Description
This book discusses the current technologies of cryptography using DNA computing. Various chapters of the book will discuss the basic concepts of cryptography, steganography, basic concepts of DNA and DNA computing, approaches of DNA computing in cryptography, security attacks, practical implementaion of DNA computing, applications of DNA computing in the cloud computing environment, applications of DNA computing for big data, etc. It provides a judicious mix of concepts, solved examples and real life case studies.

High Performance Computing

High Performance Computing PDF Author: Amanda Bienz
Publisher: Springer Nature
ISBN: 3031408438
Category : Computers
Languages : en
Pages : 677

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Book Description
This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 21–25, 2023. The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. ISC High Performance 2023 presents the following workshops: ​2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) 7th International Workshop on In Situ Visualization (WOIV’23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)

Computational Intelligence in the Internet of Things

Computational Intelligence in the Internet of Things PDF Author: Purnomo, Hindriyanto Dwi
Publisher: IGI Global
ISBN: 1522579567
Category : Computers
Languages : en
Pages : 363

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Book Description
In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Deep Learning and Edge Computing Solutions for High Performance Computing

Deep Learning and Edge Computing Solutions for High Performance Computing PDF Author: A. Suresh
Publisher: Springer Nature
ISBN: 3030602656
Category : Technology & Engineering
Languages : en
Pages : 286

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Book Description
This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.