Parallel Programming: for Multicore and Cluster Systems
Parallel Programming: for Multicore and Cluster Systems
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.
Ebook format: PDF
Ebook page: 463
File size: 8.56 MB
Ebook page: 463
File size: 8.56 MB
$10.00

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