Supercomputers

Grid technology offers the potential for providing secure access to remote services, thereby promoting scientific collaborations in an unprecedented scale.

"e;Ask not what your compiler can do for you, ask what you can do for your compiler.

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.

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning.

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models.

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

This 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.

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

The author of this book has identified the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education.

This book reviews ways to improve statistical machine speech translation between Polish and English.

Assuming no prior knowledge of plasma physics or numerical methods, Computational Methods in Plasma Physics covers the computational mathematics and techniques needed to simulate magnetically confined plasmas in modern magnetic fusion experiments and future magnetic fusion reactors.

Quantum Flux Parametron(QFP) is a Josephson junction device which uses the polarities of a unit of quantum flux to represent a bit of binary information.

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts.

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills.

Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities.

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks.

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering.

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms.

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.

Grid technology offers the potential for providing secure access to remote services, thereby promoting scientific collaborations in an unprecedented scale.

This 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.

The book offers a critical exploration of the integration of AI, blockchain, and metaverse technology in the hospitality and tourism industry to investigate the potential of these technologies in revolutionizing the industry.

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.

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.

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.

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language.

This 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.

Blockchain and distributed ledger technology (DLT) have been identified as emerging technologies that can enhance global supply chain management processes.

This 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.

This text has attempted to collate quality research articles ranging from A Mathematical Disposition for Neural Nets, to Cognitive Computing, to Quantum Machine Learning, to a Multimodal Emotion Recognition System, to Responsible AI, to AI for Accessibility and Inclusion, to Artificial-Enabled Intelligence Enabled Applications in the sectors of Health, Pharma and Education.

Many of today's complex scientific applications now require a vast amount of computational power.

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

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.

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence.

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.

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times.

Assuming no prior knowledge of plasma physics or numerical methods, Computational Methods in Plasma Physics covers the computational mathematics and techniques needed to simulate magnetically confined plasmas in modern magnetic fusion experiments and future magnetic fusion reactors.

Supercomputers are the ultimate engine of the information age.

This book reviews ways to improve statistical machine speech translation between Polish and English.

Unmatched: 50 Years of Supercomputing: A Personal Journey Accompanying the Evolution of a Powerful ToolThe rapid and extraordinary progress of supercomputing over the past half-century is a powerful demonstration of our relentless drive to understand and shape the world around us.

A smart building is the state-of-art in building with features that facilitates informed decision making based on the available data through smart metering and IoT sensors.

The book explores the critical challenge of securing sensitive medical data in the face of rising cyber threats.

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.

In this fast-paced global economy, academia and industry must innovate to evolve and succeed.

The field of SMART technologies is an interdependent discipline.

Internet of Things (IoT) products and cyber-physical systems (CPS) are being utilized in almost every discipline and there continues to be significant increases in spending on design, development, and deployment of IoT applications and analytics within every domain, from our homes, schools, government, and industry.

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

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC.