The task of managing scientific data is so overwhelming that scientists spend much of their time managing the data by developing special purpose solutions, rather than using their time effectively for scientific investigation and discovery. This book summarizes state-of-the-art scientific data management technologies.
The task of managing scientific data is so overwhelming that scientists spend much of their time managing the data by developing special purpose solut...
Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink(r) shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations.
Teaches students how to model and explore the dynamics of systems Step by...
Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynam...
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.
The text first introduces the architecture of modern cache-based microprocessors and...
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provi...
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 following areas.
Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring performance and managing large quantities of data
Performance analysis: Discusses modern approaches to computer performance benchmarking and presents results that offer valuable insight into...
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents curr...
Paving the way for the use of network on-chip architectures in 2015 platforms, this book presents the industrial requirements for such long-term platforms as well as the main research findings for technology-aware architecture design. It covers homogeneous design techniques and guidelines, including the solutions that are most appealing to the industry and best suited to meet the requirements of on-chip integration. Each chapter deals with a specific key architecture design, including fault tolerant design, topology selection, dynamic voltage and frequency scaling, synchronization, network...
Paving the way for the use of network on-chip architectures in 2015 platforms, this book presents the industrial requirements for such long-term platf...
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 numerical computing, such as the Numpy and Scipy modules. The Python source code and data files are available on the author s website.
The book s five sections present:
An overview of problem solving and simple Python programs, introducing...
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use...
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 parallel programming and master the multicore challenge.
Accessible to newcomers to the field, the book captures the state of the art of multicore programming in computer science. It covers the fundamentals of multicore hardware, parallel design patterns, and parallel...
With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never bee...
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 numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues.
Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work Edited by some of the top researchers...
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types...
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 prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations.
Teaches students how to model and explore the dynamics of systems Step by...
Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynam...
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 book first classifies scheduling problems and their complexity and then presents examples that demonstrate successful techniques for the design of efficient approximation algorithms. It also discusses classical problems, such as the famous makespan...
Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent de...
