Bücher der Reihe Chapman & Hall/CRC Computational Science

Suitable for senior undergraduate and first-year graduate students, this book covers the varied and interconnected aspects of Grid computing, including how to design a system infrastructure and Grid portal; job submission and scheduling; Grid security; Grid computing services and software tools; workflow editors; and, Grid-enabling applications.

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.

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.

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. The text introduces methods for solving various scheduling problems, including resource-constrained project scheduling, machine scheduling, and job scheduling. It covers both the foundations in scheduling and modern developments, such as online scheduling. Along with a number of examples, theorems, and pedagogical proofs, the book provides in-depth coverage of key application fields.

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 arch

Emphasizing analytical skill development and problem solving, this book shows how to implement computational models using the flexible and easy-to-use Python programming language. It provides the foundation for more advanced work in scientific computing. The book uses the Python programming language interpreter and several packages from the huge

This book focuses on the ecosystems surrounding the world's leading centers for high performance computing (HPC). This third volume will be a continuation of the two previous volumes, and will include other HPC ecosystems using the same chapter outline: description of a flagship system, major application workloads, facilities, and sponsors.