Bøger i Chapman & Hall/CRC Computational Science serien

This text provides all the material for a graduate or senior undergraduate course that focuses on the architecture of multicore processors. The book is also useful as a reference for professionals who deal with programming on multicore or designing multicore chips. It addresses programming issues in shared memory multiprocessors, covers the architectures for shared memory multiprocessors, and contains interviews with experts in parallel multicore architecture. It also offers many pedagogical features, including mini case studies, alternative points of view, examples, and online programming assignments and solutions.

Written by one of the foremost experts in high-performance computing and the inventor of Gustafson¿s Law, this groundbreaking book explains a new approach to computer arithmetic: the universal number (unum). The unum encompasses all IEEE floating-point formats as well as fixed-point and exact integer arithmetic. This new number type obtains more accurate answers than floating-point arithmetic yet uses fewer bits in many cases, saving memory, bandwidth, energy, and power. Richly illustrated in color, the book is accessible to anyone who uses computers for technical calculations.

With a number of applications, peer-to-peer (P2P) computing is a form of distributed processing that continues to increase in use. This book provides a technical survey of existing P2P applications, various enabling technologies and protocols, and evolving research issues, such as network topology control and incentive providing mechanisms.

A work on the use of Cell BE and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. It covers a range of topics on the increased role of these accelerators in scientific computing.

Suitable for scientists, engineers, and students, this book presents a practical introduction to high performance computing (HPC). It discusses the architecture of modern processors, providing a solid understanding of the performance potentials and limitations of current architectures and code.

Teaches students how to model and explore the dynamics of systems. This book shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. It covers ordinary differential equations, numerical integration algorithms, and time-step simulation.

Assuming no prior knowledge of plasma physics or numerical methods, "Computational Methods in Plasma Physics" covers the computational mathematics and techniques needed to simulate magnetically confined plasmas in modern magnetic fusion experiments and future magnetic fusion reactors.

Reviewing classical methods, realistic models, and algorithms, this book offers an introduction to scheduling. This book includes topics such as online scheduling, stochastic task-resource systems, and platform models. It is suitable for computer scientists, mathematicians, and researchers in related fields.