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Matrices --- Parallel algorithms. --- Parallel processing (Electronic computers) --- Data processing. --- Multiple data stream architectures (multiprocessors): MIMD SIMD pipeline and parallel processors array-, vector-, associative processors interconnection architectures: common bus, multiport memory, crossbar switch --- Numerical linear algebra: conditioning determinants Eigenvalues error analysis linear systems matrix inversion pseudoinverses sparse and very largesystems --- 681.3*G13 Numerical linear algebra: conditioning determinants Eigenvalues error analysis linear systems matrix inversion pseudoinverses sparse and very largesystems --- 681.3*C12 Multiple data stream architectures (multiprocessors): MIMD SIMD pipeline and parallel processors array-, vector-, associative processors interconnection architectures: common bus, multiport memory, crossbar switch --- Multiple data stream architectures (multiprocessors): MIMD; SIMD; pipeline and parallel processors; array-, vector-, associative processors; interconnection architectures: common bus, multiport memory, crossbar switch --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*C12 Multiple data stream architectures (multiprocessors): MIMD; SIMD; pipeline and parallel processors; array-, vector-, associative processors; interconnection architectures: common bus, multiport memory, crossbar switch --- Parallel algorithms --- #TELE:SISTA --- 510.22 --- 519.6 --- 681.3*C12 --- 681.3*G13 --- 681.3*G1 --- 681.3*G1 Numerical analysis --- Numerical analysis --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- 510.22 Set theory. Set theoretic approach. Theory of order types, of ordinal and cardinal numbers --- Set theory. Set theoretic approach. Theory of order types, of ordinal and cardinal numbers --- Algorithms --- Data processing --- Computer algorithms --- Algorithmes --- Parallélisme (Informatique) --- Informatique --- Analyse numérique. --- Itération (mathématiques) --- Iterative methods (Mathematics) --- Matrices - Data processing --- Analyse numérique. --- Itération (mathématiques)

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Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival - and in many cases exceed - experimental methodologies. This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address solutions to various challenges arising from concurrency, scale, energy efficiency, and programmability. These solutions are discussed in the context of diverse applications, ranging from scientific simulations to large-scale data analysis and mining. Topics and features: Includes contributions from an international selection of world-class authorities, inspired by the work of Prof. Ahmed H. Sameh Examines various aspects of parallel algorithm-architecture interaction through articles on computational capacity-based codesign and automatic restructuring of programs using compilation techniques Reviews emerging applications of numerical methods in information retrieval and data mining Discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems Presents outstanding challenges and developing technologies, and puts these in their historical context This authoritative reference is a must-read for researchers and graduate students in disciplines as diverse as computational fluid dynamics, signal processing, and structural mechanics. Professionals involved in applications that rely on high-performance computers will also find the text an essential resource.

Information systems --- Computer. Automation --- IR (information retrieval) --- wiskunde --- numerieke analyse