Supercomputers

This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center.

Describing state-of-the-art solutions in distributed system architectures, Integration of Services into Workflow Applications presents a concise approach to the integration of loosely coupled services into workflow applications.

This book explores the security and privacy challenges associated with real-time applications of the Internet of Things (IoT) and wireless sensor networks (WSN) technologies.

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments.

No single solution applied at one particular layer can help applications solve all performance-related issues with communication services.

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance.

Safety assurance of software systems has never been as imminent a problem as it is today.

An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering:RobustnessAccuracySpeedQuality source code that is easily maintained, reusable, and readableThe book primarily add

The effectiveness of federated learning in high performance information systems and informatics based solutions for addressing current information support requirements is demonstrated in this book.

The Future of Numerical ComputingWritten by one of the foremost experts in high-performance computing and the inventor of Gustafson's Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum).

As more and more engineering departments and companies choose to use Python, this book provides an essential introduction to this open-source, free-to-use language.

Supercomputers are the ultimate engine of the information age.

Contemporary High Performance Computing: From Petascale toward Exascale, Volume 3 focuses on the ecosystems surrounding the world's leading centers for high performance computing (HPC).

There is a need to categorize artificial intelligence (AI) applications, tools, techniques, and algorithms based on their intended use in various design stages.

Sequential Logic and Verilog HDL Fundamentals discusses the analysis and synthesis of synchronous and asynchronous sequential machines.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software.

This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications.

This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing.

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems.

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software.

This book explores quantum computing as a transformative technology and its applications in cryptography, teleportation, IoT, AI, Blockchain, and the futurist concept of quantum internet.

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The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it.

The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain.

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software.

"e;The more we know about smart and intelligent systems and their use, the more productive organizations can become, and the more quality of life will improve.

Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing.

This volume reports new developments on work in the Quantum Flux Parametron (QFP) project.

Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms.

Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns.

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications.

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula.

Safety assurance of software systems has never been as imminent a problem as it is today.

Blockchain and distributed-ledger technologies enable new modes of communication, synchronization, and transfer of value with a broad impact on Internet of Things (IoT), Data Science, society, industry, commerce, and government.

Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years.

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data.

Delivering a solid introduction to assembly language and embedded systems, ARM Assembly Language: Fundamentals and Techniques, Second Edition continues to support the popular ARM7TDMI, but also addresses the latest architectures from ARM, including Cortex-A, Cortex-R, and Cortex-M processors-all of which have slightly different instruction sets, p

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators.

Unlock the future of technology with this captivating exploration of swarm intelligence.

This book explains the concept of data centers, including data collection, public parking systems, smart metering, and sanitizer dispensers.

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations.

There is a growing interest in programming languages and systems, and computational models based on intensional logics - such as temporal logic, interval logic and modal logic - and possible world semantics.

Blockchain and distributed-ledger technologies enable new modes of communication, synchronization, and transfer of value with a broad impact on Internet of Things (IoT), Data Science, society, industry, commerce, and government.

This book concerns a Josephson device for supercomputers which has extremely low heat dissipation (about 106 times less than semiconductor devices and 103 times less than voltage-based Josephson devices).

This book explores the impact of technology on Human Resource (HR) practices and how organisations can effectively incorporate progress in technology to improve HR processes.