Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Parallel processing (Electronic computers) --- Parallel programming (Computer science) --- Supercomputers --- Electronic digital computers --- High performance computing --- Computer programming --- Multiprocessors --- Mathematical models.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Programming --- 681.3*C53 --- Microcomputers: microprocessors (Computer system implementation) --- Computer architecture. --- Multiprocessors. --- Parallel processing (Electronic computers) --- Parallel programming (Computer science) --- Parallel processing (Electronic computers). --- Parallel programming (Computer science). --- 681.3*C53 Microcomputers: microprocessors (Computer system implementation) --- Computer architecture --- Multiprocessors --- Architecture, Computer --- Computer programming --- High performance computing --- Supercomputers --- Electronic digital computers --- Multiprogramming (Electronic computers)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Computer Science. --- Programming Techniques. --- Computer Communication Networks. --- Computational Science and Engineering. --- System Performance and Evaluation. --- Processor Architectures. --- Communications Engineering, Networks. --- Computer science. --- Computer system performance. --- Telecommunication. --- Informatique --- Réseaux d'ordinateurs --- Télécommunications --- Programmation parallèle (informatique) --- Parallel programming (Computer science)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Electronic books. -- local. --- Multiprocessors. --- Parallel programming (Computer science). --- Engineering & Applied Sciences --- Computer Science --- Information Technology --- Computer Science (Hardware & Networks) --- Parallel programming (Computer science) --- Computer science. --- Microprocessors. --- Computer communication systems. --- Computer system failures. --- Software engineering. --- Computer programming. --- Computer mathematics. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Computer Communication Networks. --- Programming Techniques. --- Computational Science and Engineering. --- System Performance and Evaluation. --- Processor Architectures. --- Electronic digital computers --- Multiprogramming (Electronic computers) --- Parallel processing (Electronic computers) --- Computer programming --- Computer system performance. --- Informatics --- Science --- Computer software engineering --- Engineering --- Minicomputers --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Computer mathematics --- Electronic data processing --- Mathematics --- Computers --- Electronic computer programming --- Programming (Electronic computers) --- Coding theory --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Failures --- Programming --- Distributed processing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Research and development of various parallel mechanism applications in engineering is being performed more and more across every industrial field. Parallel robot based machine tools development is considered a key technology of robot applications in manufacturing industries. Parallel Robotic Machine Tools describes the basic theory, approaches, and algorithms in the field. In addition, families of new alternative mechanical architectures, which can be used for machine tools with parallel architecture, are introduced. Also receiving discussion is the design of mechanism systems such as kinematic analysis, stiffness analysis, kinetostatic modeling, and optimization. Author Dan Zhang uses his years of experience in the field to also: Cover the latest material in parallel kinematic machine tools and the junction of parallel robot and machine tools. Include novel conceptions and approaches such as the general kinetostatic model, artificial intelligence based performance optimization, and the global stiffness model. Provide a large numbers of case studies and numerical analyses that will help readers understand and apply the material presented in the book. .

Parallel kinematic machines. --- Parallel kinematic machines --- Mechanical Engineering --- Industrial & Management Engineering --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Parallel processing (Electronic computers) --- Robotics. --- Engineering. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Mechatronics. --- Industrial engineering. --- Production engineering. --- Manufacturing industries. --- Machines. --- Tools. --- Control. --- Vibration, Dynamical Systems, Control. --- Industrial and Production Engineering. --- Control, Robotics, Mechatronics. --- Manufacturing, Machines, Tools. --- Automation --- Machine theory --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers