Chapman & Hall/CRC Computational Science
About the Book 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.
Introduction to High Performance Computing for Scientists and Engineers, Second Edition
2nd Edition
By Georg Hager, Gerhard Wellein
June 01, 2026
Methods and Applications of Autonomous Experimentation
1st Edition
Edited
By Marcus Noack, Daniela Ushizima
July 30, 2025
Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities. Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have ...
Every Bit Counts: Posit Computing
1st Edition
By John L. Gustafson
November 29, 2024
Written by one of the foremost experts in high-performance computing and the inventor of Gustafson’s law, Every Bit Counts: Posit Computing explains the foundations of a new way for computers to calculate that saves time, storage, energy, and power by packing more information into every bit than do...
Unmatched: 50 Years of Supercomputing
1st Edition
By David Barkai
August 17, 2023
Unmatched: 50 Years of Supercomputing: A Personal Journey Accompanying the Evolution of a Powerful Tool The 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. In this book, ...
Contemporary High Performance Computing: From Petascale toward Exascale, Volume 3
1st Edition
Edited
By Jeffrey S. Vetter
December 18, 2020
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). It covers many of the important factors involved in each ecosystem: computer architectures, software, ...
The Green Computing Book: Tackling Energy Efficiency at Large Scale
1st Edition
Edited
By Wu-chun Feng
September 30, 2020
State-of-the-Art Approaches to Advance the Large-Scale Green Computing MovementEdited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with ...
Exascale Scientific Applications: Scalability and Performance Portability
1st Edition
Edited
By Tjerk P. Straatsma, Katerina B. Antypas, Timothy J. Williams
June 30, 2020
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 the...
Fundamentals of Parallel Multicore Architecture
1st Edition
By Yan Solihin
June 30, 2020
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 ...
GPU Parallel Program Development Using CUDA
1st Edition
By Tolga Soyata
June 30, 2020
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 ...
Introduction to Computational Models with Python
1st Edition
By Jose M. Garrido
June 30, 2020
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...
Introduction to Modeling and Simulation with MATLAB® and Python
1st Edition
By Steven I. Gordon, Brian Guilfoos
June 30, 2020
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 ...
Parallel Programming with Co-arrays
1st Edition
By Robert W. Numrich
June 30, 2020
Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to...