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Applied Parallel Computing. Industrial Computation and Optimization Third International Workshop, PARA '96, Lyngby, Denmark, August 18-21, 1996, Proceedings

Aus der Reihe Lecture Notes in Computer Science

97,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.1996

Herausgeber

Jerzy Wasniewski + weitere

Verlag

Springer Berlin

Seitenzahl

730

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1108 g

Auflage

1996

Sprache

Englisch

ISBN

978-3-540-62095-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.1996

Herausgeber

Verlag

Springer Berlin

Seitenzahl

730

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1108 g

Auflage

1996

Sprache

Englisch

ISBN

978-3-540-62095-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Applied Parallel Computing. Industrial Computation and Optimization
  • Produktbild: Applied Parallel Computing. Industrial Computation and Optimization
  • Performance tuning on IBM RS/6000 POWER2 systems.- Digital image processing: A 1996 review.- Use of parallel computations for account of options by Monte Carlo method.- Wavelets and differential equations.- From first principles to industrial applications.- Parallel implementation of a Schwarz domain decomposition algorithm.- Practical experience in the dangers of heterogeneous computing.- Coupling the advection and the chemical parts of large air pollution models.- Advanced optimizations for parallel irregular out-of-core programs.- A software architecture for massively parallel input-output.- Spatial genetic algorithm and its parallel implementation.- Addressing algebra as a tool for parallel program development.- Optimizing the NAS parallel BT application for the POWER CHALLENGEarray.- Providing access to high performance computing technologies.- Parallel object-oriented library of genetic algorithms.- Monitoring of performance of PVM applications on virtual network computer.- A parallel version of the Quasi-Minimal Residual method based on coupled two-term recurrences.- A proposal for parallel sparse BLAS.- Parallel search-based methods in optimization.- An hierarchical approach for performance analysis of ScaLAPACK-based routines using the distributed linear algebra machine.- MeDLey: An abstract approach to message passing.- ScaLAPACK tutorial.- Bulk Synchronous Parallelisation of Genetic Programming.- Frontal software for the solution of sparse linear equations.- Parallel heuristics for bandwidth reduction of sparse matrices with IBM SP2 and Cray T3D.- Parallel libraries on distributed memory architectures: The IBM Parallel ESSL.- Parallel least squares estimates of 2-D SPECT image reconstructions on the SGI power challenge.- The prospect for parallel computing in the oil industry.- Performance evaluation and modeling of reduction operations on the IBM RS/6000 SP parallel computer.- A vectorization technique for a family of finite difference formulae and its performance evaluation.- Parallel simulation of finishing hot strip mills.- PEPE: A trace-driven simulator to evaluate reconfigurable multicomputer architectures.- Data acquisition and management in BEPC.- First graph partitioning and its application in sparse matrix ordering.- The design, implementation, and evaluation of a banded linear solver for distributed-memory parallel computers.- A new parallel algorithm for tridiagonal symmetric positive definite systems of equations.- An environment for the parallel solution of coupled problems on structured grids.- PARSMI, a parallel revised simplex algorithm incorporating minor iterations and Devex pricing.- Parallel optimization of interplanetary trajectories.- Filter model of reduced-rank noise reduction.- On the crossover points for dynamic load balancing of long-chained molecules.- Parallel computation of spectral portrait of large matrices.- Computer parallel modular algebra.- Parallel operating system for MPP system: Design and implementation.- New graph model and its routing algorithm for rearrangeable networks.- Modified Dorn's algorithm with improved speed-up.- Comparison of two short-range molecular dynamics algorithms for parallel computing.- Parallelising large applications.- High Performance Fortran interfacing to ScaLAPACK.- Partitioning an array onto a mesh of processors.- P_ARPACK: An efficient portable large scale eigenvalue package for distributed memory parallel architectures.- Parallel distributed representation of sparse grids using process arrays.- Optimal scheduling, decomposition and parallelisation.- An implementation of a tree-based N-body algorithm on message-passing architectures.- A quantitative approach for architecture-invariant parallel workload characterization.- Parallel mapping of program graphs into parallel computers by self-organization algorithm.- PARA'96 conference dinner talk 1996 August 20.- Compiler optimizations for red-black HPF codes.- Parallelization of a local area ocean model.- Parallel solution of sparse problems by using a sequence of large dense blocks.- The parallel surrogate constraint approach to the linear feasibility problem.- A parallel GRASP for MAX-SAT problems.- Applications of HPCN in manufacturing industry.- An effective model to decompose Linear Programs for parallel solution.- Numerical libraries on shared memory computers.- Linear algebra subprograms on shared memory computers: Beyond LAPACK.- Integration of partitioned stiff systems of ordinary differential equations.- Direct and large eddy simulations of thermo-convective flows.- Multi-tasking method on parallel computers which combines a contiguous and a non-contiguous processor partitioning algorithm.- A highly parallel explicitly restarted Lanczos algorithm.- Dynamic systems and software.- Parallel implementations of classical optimization methods.- Computer engineering of complex physical and chemical systems by Parallel Molecular Dynamics computations.- A parallelizable and fast algorithm for very large generalized eigenproblems.- Parallelization of a code for animation of multi-object system.- Parallel inner product-free algorithm for least squares problems.