Applications of High-performance Computing in Engineering
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Applications of High-performance Computing in Engineering

Applications of High-performance Computing in Engineering

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About the Book

High performance computing has evolved into an extremely powerful tool for solving a wide variety of problems in modeling and simulation. The resolution of increasingly diverse time and length scales is becoming possible with rapid advancement in both hardware and software capabilities, and this, in many cases, is providing the enabling technology for new knowledge. This book features papers from the Sixth International Conference on Applications of High-Performance Computing in Engineering, the latest in a highly successful series which provides a forum for scientists from many fields and countries to exchange ideas and information. Contributions come from researchers and practitioners in academia, industry and government, and cover a wide range of topics such as fluid flow, structural mechanics, material processing, efficient broadcasting algorithms, and data mining.Almost 50 papers are included and these are divided under the following headings: Applications in Parallel Computing; Parallel Finite and Boundary Elements; Algorithms for Parallelisation; Applications of Neural Computing; Performance and Benchmarking; Applications in Fluid Flow; Distributed Computer Systems and Networking; Further Applications in Computational Science.

Table of Contents:
Section 1: Applications in Parallel Computing -A parallel Laplace transform method for diffusion problems with discontinuous boundary conditions; Three-dimensional simulations of spiral waves in reacting and diffusing media on DSM computers; Exploiting parallelism in general purpose optimization; Free upgrade of computer power with JAVA, web-base technology and parallel computing; A parallel material-point method with application to 3D solid mechanics; Identifying performance bottlenecks in a radiative transfer application; Parallelization of fast Fourier transforms; Implementation issues for a parallel Psuedo-Search Engine Indexer using MPI and Genetic Programming; The interfacial behavior of liquid water near hydrophobic surfaces: a parallel force decomposition molecular dynamics code; The quest for a high performance Boltzmann transport solver; Application of parallel computing to gravity field recovery from satellite gravity gradiometric data; Euclidean invariant computation of stochastic completion fields using shiftable-twistable wavelets. Section 2: Parallel Finite and Boundary Elements - A parallel multipolar BEM approach for Neumann interior Stokes flow; Efficient propagation of moment tensors in multipole-accelerated parallel BEM; Viscoelastic torsion under piezoelectric control - analytical and massively parallel computational simulations and performance evaluations; Structural optimization using parallel GA; MISER (Michigan soil-vapor extraction remediation model): development of a parallel environmental remediation application code. Section 3: Algorithms for Parallelisation - Synthetic methodologies for an optimal time-space algorithm complexity distribution; Efficient broadcasting in an arrangement graph using multiple spanning trees; Partitioning and mapping nested loops on multicomputers; A generalized fault-tolerant sorting algorithm on product network; Processor-time optimal systolic matrix multiplication; New structure for rolling mapping. Section 4: Application of Neural Computing - NN-modelling for nonlinear functions approximations; Neurochip architectural design for pattern recognition and classification; Data mining high performance computing using neural networks. Section 5: Performance and Benchmarking - A case study on the importance of compiler and other optimizations for improving super-scalar processor performance; High performance computing using AUTODYN-3D; Parallel performance and benchmarking of the CE-QUAL-ICM family of three-dimensional water quality models. Section 6: Applications in Fluid Flow - Massively parallel boundary integral element method modeling of particles in low-Reynolds number Newtonian fluid flows; A parallel domain decomposition iteration scheme for a free boundary problem; Parallel overlapping-mesh algorithm; Parallel simulation of three-dimensional free-surface fluid flow problems; Direct numerical simulation of lid-driven cavity flow within a 3D inhomogeneous domain on an NEC-SX4 supercomputer; Distributed particle simulation of flow in complex geometries. Section 7: Distributed Computer Systems and Networking - Distributed deep processing; Computational performance and scalability of large distributed enterprise-wide systems supporting engineering, manufacturing and business applications; The BORG distributed architecture for high-performance computing. Section 8: Further Applications in Computational Science - Using explicit preconditioned domain decomposition methods for solving singular perturbed linear problems; Modelling and simulation of capillary driven flows in microfluidic system components; Investigation of lossless transmission lines by time-domain analysis; A novel neural network technique for the detection of human faces in visual scenes; A symbolic solver based software for wind field evaluation in complex coastal areas; Explicit approximate inverse finite element preconditioning for solving biharmonic equations; A framework for data mining and information retrieval on the Internet; Virtual laboratories for analysis and design of civil engineering structures.


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Product Details
  • ISBN-13: 9781853128103
  • Publisher: WIT Press
  • Publisher Imprint: WIT Press
  • Height: 230 mm
  • Returnable: N
  • ISBN-10: 1853128104
  • Publisher Date: 05 Jan 2000
  • Binding: Hardback
  • Language: English


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