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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.

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GPU Parallel Program Development Using CUDA

GPU Parallel Program Development Using CUDA

Forthcoming

Tolga Soyata
February 14, 2018

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather...

Exascale Scientific Applications: Scalability and Performance Portability

Exascale Scientific Applications: Scalability and Performance Portability

Forthcoming

Tjerk P. Straatsma, Katerina B. Antypas, Timothy J. Williams
November 14, 2017

From the Foreword: "The authors of the chapters in this book are the pioneers who will explore the exascale frontier. The path forward will not be easy... These authors, along with their colleagues who will produce these powerful computer systems will, with dedication and determination, overcome...

Programming for Hybrid Multi/Manycore MPP Systems

Programming for Hybrid Multi/Manycore MPP Systems

John Levesque, Aaron Vose
October 10, 2017

"Ask not what your compiler can do for you, ask what you can do for your compiler."--John Levesque, Director of Cray’s Supercomputing Centers of Excellence The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space....

Fundamentals of Multicore Software Development

Fundamentals of Multicore Software Development

Victor Pankratius, Ali-Reza Adl-Tabatabai, Walter Tichy
July 19, 2017

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand...

Introduction to Modeling and Simulation with MATLAB® and Python

Introduction to Modeling and Simulation with MATLAB® and Python

Steven I. Gordon, Brian Guilfoos
July 17, 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...

Introduction to Scheduling

Introduction to Scheduling

Yves Robert, Frederic Vivien
June 14, 2017

Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent developments of scheduling theory. With contributions from highly respected experts, it provides self-contained, easy-to-follow, yet rigorous presentations of the material...

Introduction to the Simulation of Dynamics Using Simulink

Introduction to the Simulation of Dynamics Using Simulink

Michael A. Gray
June 07, 2017

Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink® shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no...

Scientific Computing with Multicore and Accelerators

Scientific Computing with Multicore and Accelerators

Jakub Kurzak, David A. Bader, Jack Dongarra
June 07, 2017

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. While these technologies have...

Grid Computing: Techniques and Applications

Grid Computing: Techniques and Applications

Barry Wilkinson
May 31, 2017

Designed for senior undergraduate and first-year graduate students, Grid Computing: Techniques and Applications shows professors how to teach this subject in a practical way. Extensively classroom-tested, it covers job submission and scheduling, Grid security, Grid computing services and software...

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...

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