BOOK SERIES


Chapman & Hall/CRC Computational Science


About the Series

As the pace of innovation in computational science and engineering accelerates, it is becoming increasingly important to present the latest research and applications to professionals working in the field. In the future, many areas of research will only be accessible to those with access to advanced computational technology and platforms. This series aims to capture new developments and applications in the field of computational science through the publication of a broad range of textbooks, reference works, and handbooks. We are looking for single authored works and edited compilations that will:

  • Appeal to students and professionals by providing introductory as well as advanced material on mathematical, statistical, and computational methods and techniques
  • Present researchers with the latest theories and experimentation
  • Supply information to interdisciplinary researchers and practitioners who are users of computing technology but may not have advanced computer backgrounds

The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of scientific computing, parallel and distributed computing, high performance computing, grid computing, cluster computing, heterogeneous computing, quantum computing, and their applications in scientific disciplines such as astrophysics, aeronautics, biology, chemistry, climate modelling, combustion, cosmology, earthquake prediction, imaging, materials, neuroscience, oil exploration, and weather forecasting. We are willing to consider other relevant topics that might be proposed by potential contributors.

34 Series Titles

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Exascale Scientific Applications: Scalability and Performance Portability

Exascale Scientific Applications: Scalability and Performance Portability

Forthcoming

Tjerk P. Straatsma, Timothy J. Williams, Katerina Antypas
October 15, 2017

This book will focus on the development of scalable and performance portable scientific applications for future exascale computer systems. The main body of the book will be a series of chapters that center on the programming practices of application developers to achieve scalability on high-end...

Programming for Hybrid Multi/Many-core MPP Systems

Programming for Hybrid Multi/Many-core MPP Systems

Forthcoming

John Levesque, Aaron Vose
September 19, 2017

This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods to more effectively restructure applications to take advantage of these powerful nodes. The authors discuss the benefit of vectorization, providing...

Introduction to Modeling and Simulation with MATLAB and Python

Introduction to Modeling and Simulation with MATLAB and Python

Forthcoming

Steven I. Gordon, Brian Guilfoos
August 03, 2017

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. The book content focuses on meeting a set of basic...

Data-Intensive Science

Data-Intensive Science

Terence Critchlow, Kerstin Kleese van Dam
March 08, 2017

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers,...

Elements of Parallel Computing

Elements of Parallel Computing

Eric Aubanel
December 06, 2016

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...

High Performance Visualization: Enabling Extreme-Scale Scientific Insight

High Performance Visualization: Enabling Extreme-Scale Scientific Insight

E. Wes Bethel, Hank Childs, Charles Hansen
November 16, 2016

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. High Performance Visualization: Enabling Extreme-Scale...

Software Engineering for Science

Software Engineering for Science

Jeffrey C. Carver, Neil P. Chue Hong, George K. Thiruvathukal
October 20, 2016

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. It provides a better understanding of how software engineering is and should be practiced, and...

Fundamentals of Parallel Multicore Architecture

Fundamentals of Parallel Multicore Architecture

Yan Solihin
November 24, 2015

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures. Filling this gap, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the architecture of...

Introduction to Computational Models with Python

Introduction to Computational Models with Python

Jose M. Garrido
September 04, 2015

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of...

Industrial Applications of High-Performance Computing: Best Global Practices

Industrial Applications of High-Performance Computing: Best Global Practices

Anwar Osseyran, Merle Giles
April 01, 2015

Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computing (HPC) for industrial applications, along with a discussion of software challenges, business models, access models (e.g., cloud computing), public-private partnerships,...

Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two

Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two

Jeffrey S. Vetter
April 01, 2015

HPC is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets...

The End of Error: Unum Computing

The End of Error: Unum Computing

John L. Gustafson
February 05, 2015

The Future of Numerical Computing Written 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). The unum encompasses all IEEE floating-point...

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