Supercomputers eTextbooks

Nonlocal Quantum Computing Theory

Quantum Computing

The Past, the Present, and the Future

Exascale Scientific Applications

Scalability and Performance Portability

Applied Parallel Computing

Programming for Hybrid Multi/Manycore MPP Systems

Chapman & Hall/CRC Computational Science

High Performance Computing for Big Data

Methodologies and Applications

What Every Engineer Should Know About Modeling and Simulation

What Every Engineer Should Know

IoT Automation

Arrowhead Framework

Testing R Code

Chapman & Hall/CRC The R Series

Software Engineering for Science

Chapman & Hall/CRC Computational Science

Introduction to Scientific and Technical Computing

Multithreading for Visual Effects

Industrial Applications of High-Performance Computing

Best Global Practices

Performance Tuning of Scientific Applications

High Performance Visualization

Enabling Extreme-Scale Scientific Insight

Combinatorial Scientific Computing

Introduction to High Performance Computing for Scientists and Engineers

Chapman & Hall/CRC Computational Science

Introduction to Computational Modeling Using C and Open-Source Tools

Grid Resource Management

Toward Virtual and Services Compliant Grid Computing

Attaining High Performance Communications

A Vertical Approach

GPGPU Programming for Games and Science

Creating Smart Healthcare with Blockchain and Advanced Digital Technology

Parallel Algorithms

Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

Petascale Computing

Algorithms and Applications

Introduction to Computational Models with Python

Chapman & Hall/CRC Computational Science

Introduction to Concurrency in Programming Languages

Principles and Practices of CAD/CAM

Swarm Intelligence and its Applications in Biomedical Informatics

Quantum Computing

The Future of Information Processing

Safety Assurance under Uncertainties

From Software to Cyber-Physical/Machine Learning Systems

Blockchain for IoT Systems

Concept, Framework and Applications

Digital Cultural Heritage

Challenges, Solutions, and Future Directions

Advanced Computing Techniques for Optimization in Cloud

Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

High Performance Parallel I/O

Impact of Artificial Intelligence on Society

High Performance Computing in Remote Sensing

Scientific Computing with Multicore and Accelerators

Chapman & Hall/CRC Computational Science

Fundamentals of Grid Computing

Theory, Algorithms and Technologies

Computational Methods in Plasma Physics

Chapman & Hall/CRC Computational Science

Parallel Iterative Algorithms

From Sequential to Grid Computing

Handbook of Parallel Computing and Statistics

Statistics: A Series of Textbooks and Monographs

Process Algebra for Parallel and Distributed Processing

Cloud Computing

Data-Intensive Computing and Scheduling

Designing Scientific Applications on GPUs

Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

Introduction to Grid Computing

Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

Scientific Data Management

Challenges, Technology, and Deployment

Multicore Computing

Algorithms, Architectures, and Applications

High Performance Computing

Programming and Applications

Machine Learning Hybridization and Optimization for Intelligent Applications

Computational Intelligence Techniques

Soft Computing

Engineering Applications

Parallel Computing for Data Science

With Examples in R, C++ and CUDA

Stochastic Methods in Scientific Computing

From Foundations to Advanced Techniques

Complex Digital Hardware Design

Explainable AI (XAI) for Sustainable Development

Trends and Applications

Introduction to Reversible Computing

Chapman & Hall/CRC Computational Science

The Green Computing Book

Tackling Energy Efficiency at Large Scale

Desktop Grid Computing

Integration of Services into Workflow Applications

Chapman & Hall/CRC Computer and Information Science Series

Integration of Cloud Computing with Emerging Technologies

Issues, Challenges, and Practices

Applied Quantum Cryptanalysis

Implementing Parallel and Distributed Systems

Smart Urban Computing Applications

Machine Learning in Translation Corpora Processing

Artificial Intelligence and the Environmental Crisis

Can Technology Really Save the World?

Parallel Computing Architectures and APIs

IoT Big Data Stream Processing

Parallel Programming with Co-arrays

Chapman & Hall/CRC Computational Science

Introduction to Quantum Computing

River Publishers Series in Rapids in Computing and Information Science and Technology

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

Era of Artificial Intelligence

The 21st Century Practitioners' Approach

Applied Computer Vision and Soft Computing with Interpretable AI

Artificial Intelligence for Intrusion Detection Systems

Machine Learning for Edge Computing

Frameworks, Patterns and Best Practices

Introduction to Engineering and Scientific Computing with Python

Advancement of Deep Learning and its Applications in Object Detection and Recognition

Big Data, Cloud Computing and IoT

Tools and Applications

Smart Trajectories

Metamodeling, Reactive Architecture for Analytics, and Smart Applications

The Primacy of Doubt

From climate change to quantum physics, how the science of uncertainty can help predict and understand our chaotic world

Elements of Parallel Computing

Chapman & Hall/CRC Computational Science

A Computational Approach to Statistical Learning

Chapman & Hall/CRC Texts in Statistical Science

GPU Parallel Program Development Using CUDA

Chapman & Hall/CRC Computational Science

High-Performance Computing in Finance

Problems, Methods, and Solutions

Contemporary High Performance Computing

From Petascale toward Exascale, Volume 3

Parallel Programming for Modern High Performance Computing Systems

From Parallel to Emergent Computing

Contemporary High Performance Computing

From Petascale toward Exascale, Volume Two

Sequential Logic and Verilog HDL Fundamentals

Data-Intensive Science

Chapman & Hall/CRC Computational Science

Introduction to Modeling and Simulation with MATLAB® and Python

Chapman & Hall/CRC Computational Science

Recent Progress in Computational Sciences and Engineering (2 vols)

Fundamentals of Parallel Multicore Architecture

Chapman & Hall/CRC Computational Science

Emerging Internet-Based Technologies

Contemporary High Performance Computing

From Petascale toward Exascale

Ecosystems and Technology

Idea Generation and Content Model Processing

Software Engineering for Variability Intensive Systems

Foundations and Applications

Interoperability in IoT for Smart Systems

Intelligent Systems

What Every Engineer Should Know About the Internet of Things

What Every Engineer Should Know

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Green Engineering and Technology

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI): Elementary to Advanced Practices

The End of Error

Unum Computing

Cloud Computing

Concepts and Technologies