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
This textbook provides an introduction to Scientific Computing and algorithms that help solve computational problems in science and engineering. The book will be designed to serve both professionals
This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to
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 c
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 mode
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 n
This book provides a hands-on, class-tested introduction to CUDA and GPU programming. It begins by introducing CPU programming and the concepts of P-threads, thread programming, multi-tasking, and par
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 t
Novel scalable scientific algorithms are needed to enable key science applications and to exploit the computational power of largescale systems. This is especially true for the current tier of leading
This book provides computational scientists and engineers with a reference book containing information about the best software engineering practices to employ in the development of computational softw
This three-part textbook covers the architecture of multicore processors. Designed for a graduate-level course, the first part focuses on core concepts in parallel architecture. The second part is int
This book presents best practices in supercomputing applications, both from the perspective of supercomputing centers and from an industry perspective. It supplies a global overview of HPC research al
The Future of Numerical ComputingWritten 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 co
A continuation of Contemporary High Performance Computing: From Petascale toward Exascale, this second volume continues the discussion of HPC flagship systems, major application workloads, facilities,
Computational scientists need guidelines on best I/O practices, in order to make best use of existing I/O infrastructure. This book presents a detailed overview of Parallel I/O on current petascale pl
Because computational models usually require high-performance computing to solve large and complex scientific problems, this book presents an introduction to computational models and their implementat
This book explore a new idea of computing—reversible computing—which is based on a combination of forward and reverse computing in contrast with forward, traditional computation. Illustrating the role
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 scie
This work offers unique insight into how biology is evolving to meet the needs of data-intensive science. It examines the history of computational science and lessons learned, discusses the evolution
"Preface We are pleased to present you with this collection of material that captures a snapshot of the rich history of practice in Contemporary High Performance Computing. As evidenced in the chapter
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 mult
Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. I
With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary
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 pro
Driven by the newly placed importance and growing search for ways to make computing greener and more efficient, this reference is the first research-level book devoted to green computing and large-sca
High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious d
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the followin
Exploring how concurrent programming can be assisted by language-level techniques, Introduction to Concurrency in Programming Languages presents high-level language techniques for dealing with concurr
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
