Handbook on parallel and distributed processing
Here, authors from academia and practice provide practitioners, scientists and graduates with basic methods and paradigms, as well as important issues and trends across the spectrum of parallel and distributed processing. In particular, they cover such fundamental topics as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, as well as the relevant networking aspects. A chapter is dedicated to each of parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems.
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Parallel and Distributed Systems
Survey of the Volume
The Design of Efficient Parallel Algorithms
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applications architecture audio bandwidth basic block buffer cache called CC++ coherency communication delays computation nodes computer system concurrent connected CORBA cycle data-parallel database datatype defined disk Distributed Computing efficient elements environment example execution file system Fortran function global graph hardware High Performance Fortran hypercube IEEE implementation instructions integer interconnection network interface LAPACK latency linear algebra load loop machines mapping matrix mesh multimedia multiple multiprocessor NetSolve number of processors operating system optimal packet parallel algorithm Parallel and Distributed parallel computer parallel performance parallel programming parameters path pointer polynomial PRAM prefix sums Proc processor object programming language protocol queue requests scalability ScaLAPACK Section sequence sequential server shared memory solution solved sorting specified speedup storage superscalar synchronization tasks threads tion tree tuples UNIX variable