Supercomputers Books

Book Synopsis'This colourful page-turner puts artificial intelligence into a human perspective . . . Metz explains this transformative technology and makes the quest thrilling.' Walter Isaacson, author of Steve Jobs____________________________________________________This is the inside story of a small group of mavericks, eccentrics and geniuses who turned Artificial Intelligence from a fringe enthusiasm into a transformative technology. It's the story of how that technology became big business, creating vast fortunes and sparking intense rivalries. And it's the story of breakneck advances that will shape our lives for many decades to come - both for good and for ill. ________________________________________________'One day soon, when computers are safely driving our roads and speaking to us in complete sentences, we'll look back at Cade Metz's elegant, sweeping Genius Makers as their birth story - the Genesis for an age of sentient machines.' Brad Stone, author of The Everything Store and The Upstarts'A ringside seat at what may turn out to be the pivotal episode in human history . . . easy and fun to read . . . undeniably charming.' ForbesTrade ReviewIn Genius Makers, Cade Metz delivers the definitive take on how AI technology came to be and what its arrival will mean for us humans. The book relies on tireless reporting and delightful writing to bring to life one of the most surprising and important stories of our time. If you want to read one book to understand AI, this is the one. -- Ashlee Vance, New York Times bestselling author of ELON MUSKThis colourful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling. -- Walter Isaacson, #1 New York Times bestselling author of LEONARDO DA VINCI, STEVE JOBS and THE INNOVATORSCade Metz has produced an enthralling narrative of the advance of artificial intelligence. He describes the key personalities, the seminal meetings and the crucial breakthroughs with his customary eye for detail, building them into a dramatic history of this era-defining technology. -- Kai-Fu Lee, author of AI SUPERPOWERSThis is the inside story of how AI entered Google, Facebook, and the rest of high tech. It is also the story of how Silicon Valley and its mega-bucks infiltrated AI and changed its course. Chock full of behind-the-scenes anecdotes and wry humour - we learn the true tale of the technology that is transforming humanity. -- Oren Etzioni, chief executive, Allen Institute for Artificial IntelligenceOne day soon, when computers are safely driving our roads and speaking to us in complete sentences, we'll look back at Cade Metz's elegant, sweeping Genius Makers as their birth story - the Genesis for an age of sentient machines. -- Brad Stone, author of THE EVERYTHING STORE and THE UPSTARTS

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Book SynopsisThe SUPERMEN "After a rare speech at the National Center for Atmospheric Research in Boulder, Colorado, in 1976, programmers in the audience had suddenly fallen silent when Cray offered to answer questions. He stood there for several minutes, waiting for their queries, but none came.Table of ContentsThe Codebreakers. The Incubator. Seymour. Engineers' Paradise. The Hog Trough. The CRAY-1. The Cray Way. The New Genius. Shakeout. Notes. Acknowledgments. Index.

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Book SynopsisThis book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.Table of Contents1. An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits 2. Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach 3. Object Detection and Tracking in Video Using Deep Learning Techniques: A Review 4. Fuzzy MCDM: Application in Disease Risk and Prediction 5. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks 6. A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches 7. Detection of Retinopathy of Prematurity Using Convolution Neural Network 8. Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations 9. Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm 10. Role of Machine Learning in Social Area Networks 11. Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes Algorithm 12. Deep Networks and Deep Learning Algorithms 13. Machine Learning for Big Data Analytics, Interactive and Reinforcement 14. Fish Farm Monitoring System Using IoT and Machine Learning

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Book SynopsisThe proliferation of multicore processors in the embedded market for Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) makes developing real-time embedded applications increasingly difficult. What is the underlying theory that makes multicore real-time possible? How does theory influence application design? When is a real-time operating system (RTOS) useful? What RTOS features do applications need? How does a mature RTOS help manage the complexity of multicore hardware?Real-Time Systems Development with RTEMS and Multicore Processorsanswers these questions and more with exemplar Real-Time Executive for Multiprocessor Systems (RTEMS) RTOS to provide concrete advice and examples for constructing useful, feature-rich applications. RTEMS is free, open-source software that supports multi-processor systems for over a dozen CPU architectures and over 150 specific system boards in applications spanning the range of IoT and CPS domains such as satellites, particle accelerators, robots, racing motorcycles, building controls, medical devices, and more.The focus of this book is on enabling real-time embedded software engineering while providing sufficient theoretical foundations and hardware background to understand the rationale for key decisions in RTOS and application design and implementation. The topics covered in this book include: Cross-compilation for embedded systems development Concurrent programming models used in real-time embedded software Real-time scheduling theory and algorithms used in wide practice Usage and comparison of two application programmer interfaces (APIs) in real-time embedded software: POSIX and the RTEMS Classic APIs Design and implementation in RTEMS of commonly found RTOS features for schedulers, task management, time-keeping, inter-task synchronization, inter-task communication, and networking The challenges introduced by multicore hardware, advances in multicore real-time theory, and software engineering multicore real-time systems with RTEMS All the authors of this book are experts in the academic field of real-time embedded systems. Two of the authors are primary open-source maintainers of the RTEMS software project.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA) International license.Table of ContentsChapter 1 Introduction. PART I Operating System Basics. Chapter 2 Cross-Compilation Toolchain. Chapter 3 Concurrent Programming and Scheduling Algorithms. Chapter 4 Scheduling Analysis and Interrupt Handling. PART II Task Management and Timekeeping. Chapter 5 Task Management and Timekeeping, Classic API. Chapter 6 Task Management and Timekeeping, POSIX API. PART III InterTask Synchronization and Communication. Chapter 7 Inter-Task Synchronization and Communication (IPC) Based on Shared Memory. Chapter 8 IPC, Task Execution, and Scheduling. Chapter 9 IPC Based on Message Passing. PART IV Network Communication. Chapter 10 Network Communication in RTEMS. Chapter 11 POSIX Sockets API. PART V Multicores in Realtime Embedded Systems. Chapter 12 Multicores in Embedded Systems. Chapter 13 Multicore Concurrency: Issues and Solutions. References. Index.

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Book SynopsisThis book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive Table of Contents1. Intelligent Distributed Computing Paradigm. 2. Multi Micro-Agent System Middleware Model based on Event Sourcing and CQRS Patterns. 3. Intelligent Distributed Computing Paradigm: Emergence, Challenges and Future Research Directions. 4. Emerging Paradigm of Urban Computing: Challenges, Applications, and Future Research Directions. 5. Complex Event Processing Architectures for Smart City Applications. 6. Portunus: Enhancing smart city application connectivity with complex space-time events distributed system. 7. Smart Trajectories Metamodeling. 8. A Type Level Trajectory Framework. 9. A Distributed Reactive Trajectory Framework for Nearby Events Discovery. 10. A Multidimensional Trajectory Model in the Context of Mobile Crowd Sensing. 11. Trajectory mining based on Process mining in RORO terminals: Performance-Driven Analysis to support trajectories redesign. 12. Aspects from mobility data in fog/cloud era: Directions from a pilot case study of Hazmat transportation telemonitoring in urban area. 13. Utility assessment of line-of-sight traffic jam and queue detection in urban environments for intelligent road vehicles. 14. Risky Trajectory Prediction for Safe Walkability under Intuitionistic Fuzzy Environment. 15. A real-time reactive Service Oriented Architecture for safe urban walkability. 16. Safest Trajectories for Pedestrian using Distributed Architecture based on Spatial Risk Analysis and Voronoï Spatial Accessibility. 17. Towards a predictive simulation framework of accidents risks for pedestrians based on distributed artificial intelligence and intuitionist fuzzy modeling. 18. Trajectory to a new shape of organizational structure, Enterprise Architect and Organizational Audit for Governance of Information Systems Processes. 19. Dynamic detection of fuzzy sub-congested urban traffic networks. 20. Multi-Agent Modeling for Pedestrian Risk Assessment.

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Book SynopsisThis book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programm

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Book SynopsisCloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues.Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

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Book SynopsisThis book is about how to design the most complex types of digital circuit boards used inside servers, routers and other equipment, from high-level system architecture down to the low-level signal integrity concepts. It explains common structures and subsystems that can be expanded into new designs in different markets.The book is targeted at all levels of hardware engineers. There are shorter, lower-level introductions to every topic, while the book also takes the reader all they way to the most complex and most advanced topics of digital circuit design, layout design, analysis, and hardware architecture.

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Book SynopsisRead this if you want to understand how to shape our technological future and reinvigorate democracy along the way. -- Reed Hastings, co-founder and CEO of Netflix__________A forward-thinking manifesto from three Stanford professors which reveals how big tech's obsession with optimization and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy, and save ourselves.__________In no more than the blink of an eye, a naïve optimism about technology's liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. Yet too few of us see any alternative to accepting the onward march of technology. We have simply accepted a technological future designed for us by technologists, the venture capitalists who fund them, and the politicians who give them free rein.It doesn't need to be this way.System Error exposes the root of our current predicament: how big tech's relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get.Armed with an understanding of how technologists think and exercise their power, three Stanford professors - a philosopher working at the intersection of tech and ethics, a political scientist who served under Obama, and the director of the undergraduate Computer Science program at Stanford (also an early Google engineer) - reveal how we can hold that power to account. As the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake, and what we can do to control technology instead of letting it control us.Trade ReviewEnough with the breathless dreams of digital utopias and poisonous polemics about technological dystopias! In System Error, we finally have a book about the digital revolution that is serious rather than sensationalistic. Read this if you want to understand how to shape our technological future and reinvigorate democracy along the way. -- Reed Hastings, co-founder and CEO of NetflixSystem Error offers a powerful account of how our lives, our politics, and our values have been reshaped by technology in ways that we are just starting to comprehend. Full of stories and insights, this remarkable book charts a path forward for creating a healthy digital future. -- Darren Walker, President of the Ford FoundationAlbert Einstein once lamented that 'our technology has exceeded our humanity.' That danger is ever more pressing as powerful artificial intelligence technologies are transforming society at a pace never seen before. From the heart of Silicon Valley comes a profoundly important book that examines the ethical and social impact of the digital technologies and offers a more human-centered framework. This is a must-read for every student, engineer, businessperson, policymaker, or anyone who cares about our society's collective future. -- Dr. Fei-Fei Li, Professor Computer Science, Co-Director of Stanford's Institute for Human-Centered AI, and member of the National Academies of Engineering and Medicine System Error is a triumph: an analysis of the critical challenges facing our digital society that is as accessible as it is sophisticated. Best of all, the authors offer actual solutions for a reboot that are both timely and feasible. -- Anne-Marie Slaughter, CEO of New America

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Book SynopsisRead this if you want to understand how to shape our technological future and reinvigorate democracy along the way. -- Reed Hastings, co-founder and CEO of Netflix__________A forward-thinking manifesto from three Stanford professors which reveals how big tech's obsession with optimization and efficiency has sacrificed fundamental human values and outlines steps we can take to change course, renew our democracy, and save ourselves.__________In no more than the blink of an eye, a naïve optimism about technology's liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. Yet too few of us see any alternative to accepting the onward march of technology. We have simply accepted a technological future designed for us by technologists, the venture capitalists who fund them, and the politicians who give them free rein.It doesn't need to be this way.System Error exposes the root of our current predicament: how big tech's relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get.Armed with an understanding of how technologists think and exercise their power, three Stanford professors - a philosopher working at the intersection of tech and ethics, a political scientist who served under Obama, and the director of the undergraduate Computer Science program at Stanford (also an early Google engineer) - reveal how we can hold that power to account.As the dominance of big tech becomes an explosive societal conundrum, they share their provocative insights and concrete solutions to help everyone understand what is happening, what is at stake, and what we can do to control technology instead of letting it control us.

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Book SynopsisComputational clusters have long provided a mechanism for the acceleration of high performance computing (HPC) applications. With today''s supercomputers now exceeding the petaflop scale, however, they are also exhibiting an increase in heterogeneity. Thisheterogeneity spans a range of technologies, from multiple operating systems to hardware accelerators and novel architectures. Because of the exceptional acceleration some of these heterogeneous architectures provide, they are being embraced as viable tools for HPC applications. Given the scale of today''s supercomputers, it is clear that scientists must consider the use of fault-tolerance in their applications. This is particularly true as computational clusters with hundreds and thousands of processors become ubiquitous in large-scale scientific computing, leading to lower mean-times-to-failure. This forces the systems to effectively deal with the possibility of arbitrary and unexpected node failure. In this book the address the issue of fault-tolerance via checkpointing. They discuss the existing strategies to provide rollback recovery to applications -- both via MPI at the user level and through application-level techniques. Checkpointing itself has been studied extensively in the literature, including the authors'' own works. Here they give a general overview of checkpointing and how it''s implemented. More importantly, they describe strategies to improve the performance of checkpointing, particularly in the case of distributed systems.

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Book SynopsisThis book constitutes the proceedings of the 38th International Conference on High Performance Computing, ISC High Performance 2023, which took place in Hamburg, Germany, in May 2023. The 21 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Architecture, Networks, and Storage; HPC Algorithms & Applications; Machine Learning, AI, & Quantum Computing; Performance Modeling, Evaluation, & Analysis; and Programming Environments & Systems Software.Table of Contents​Architecture, Networks, and Storage.- CPU Architecture Modelling and Co-design.- Illuminating the I/O Optimization Path of Scientific Applications.- Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems.- HPC Algorithms & Applications.- Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes.- Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline.- Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations.- Steering Customized AI Architectures for HPC Scientific Applications.- GPU-based Low-precision Detection Approach for Massive MIMO Systems.- A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs.- Ready for the Frontier: Preparing Applications for the World’s First Exascale System.- End-to-end Differentiable Reactive Molecular Dynamics Simulations using JAX.- Machine Learning, AI, & Quantum Computing.- Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization.- Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers.- Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection.- Performance Modeling, Evaluation, & Analysis.- A study on the performance implications of AArch64 Atomics.- Analyzing Resource Utilization in an HPC System: A Case Study of NERSC’s Perlmutter.- Overcoming Weak Scaling Challenges in Tree-based Nearest Neighbor Time SeriesMining.- Porting numerical integration codes from CUDA to oneAPI: a case study.- Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer.- Programming Environments & Systems Software.- Expression Isolation of Compiler-Induced Numerical Inconsistencies in Heterogeneous Code.- SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC.

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Book SynopsisThis book explores quantum computing as a transformative technology and its applications in cryptography, teleportation, IoT, AI, Blockchain, and the futurist concept of quantum internet. It explains the fundamentals of quantum computing and how it’s different from classic computing. The challenges facing quantum computing will be discussed, and the types of quantum computing will be introduced and explained. The concept and types of Qubit and its implications on quantum computing applications will be explained.Table of Contents1. What is Quantum Computing? 2. Quantum Cryptography 3. Quantum Internet 4. Quantum teleportation 5. Quantum Computing and IoT 6. Quantum Computing and Blockchain: Myths and Facts 7. Quantum Computing and AI: A Mega-Buzzword 8. Quantum Computing Trends

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Book SynopsisThis volume brings together selected contributed papers presented at the International Conference of Computational Methods in Science and Engineering (ICCMSE 2006), held in Chania, Greece, October 2006. The conference aims to bring together computational scientists from several disciplines in order to share methods and ideas. The ICCMSE is unique in its kind. It regroups original contributions from all fields of the traditional Sciences, Mathematics, Physics, Chemistry, Biology, Medicine and all branches of Engineering. It would be perhaps more appropriate to define the ICCMSE as a conference on computational science and its applications to science and engineering. Topics of general interest are: Computational Mathematics, Theoretical Physics and Theoretical Chemistry. Computational Engineering and Mechanics, Computational Biology and Medicine, Computational Geosciences and Meteorology, Computational Economics and Finance, Scientific Computation. High Performance Computing, Parallel and Distributed Computing, Visualization, Problem Solving Environments, Numerical Algorithms, Modelling and Simulation of Complex System, Web-based Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and Virtual Reality, Reliable Computing, Image Processing, Computational Science and Education etc. More than 800 extended abstracts have been submitted for consideration for presentation in ICCMSE 2005. From these 500 have been selected after international peer review by at least two independent reviewers.Table of ContentsComputational Mathematics, Theoretical Physics and Theoretical Chemistry. Computational Engineering and Mechanics, Computational Biology and Medicine, Computational Geosciences and Meteorology, Computational Economics and Finance, Scientific Computation. High Performance Computing, Parallel and Distributed Computing, Visualization, Problem Solving Environments, Numerical Algorithms, Modelling and Simulation of Complex System, Web-based Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and Virtual Reality, Reliable Computing, Image Processing, Computational Science and Education.

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