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Supercompilers For Parallel And Vector Computers

A major challenge facing computer science is the need to develop algorithms and software tools to harness the vast power of parallel and;

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Parallel Processing in Computational Mechanics

Introduces mechanical engineers to high-performance computing using the new generation of computers with vector and parallel processing;

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Numerical Linear Algebra for High-Performance Computers

scale eigenvalue problems on high-performance computers, and provides a rapid introduction to the world of vector and parallel processing for;

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ScaLAPACK Users' Guide

for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message;

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High Performance Algorithms for Structured Matrix Problems

solution techniques for dense Toeplitz and Hankel matrices. The papers also discuss implementation issues on numerous parallel architectures such;

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Numerical Methods and Applications (1994)

data. These methods allow natural paralleling of algorithms and will find many applications in vector and parallel computers.;

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Parallel MATLAB for Multicore and Multinode Computers

of implementation. Parallel MATLAB for Multicore and Multinode Computers covers more parallel algorithms and parallel programming models than any other;

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Fast Fourier Transform Algorithms for Parallel Computers

parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications;

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Fast Fourier Transform Algorithms for Parallel Computers

parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications;

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Computational Science, Mathematics and Software

differential equations, and techniques for exploiting vector computers, parallel computers, and the emerging information power grid. A retrospective;

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PVM

that enables the computer user to define a networked heterogeneous collection of serial, parallel, and vector computers to function as one;

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Parallel Programming

. Particles-in-cell method and cellular automata are very useful for simulation. Problems of scalability of parallel algorithms and the transfer;

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Practical Parallel Programming

simulation of cellular automata, studies of rock fracturing, and image processing. Practical Parallel Programming will be particularly helpful for;

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Shortest Path Solvers. From Software to Wetware

include distance-vector algorithms for distributed path computation in dynamics networks, parallel solutions of the constrained shortest path;

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High Performance Fortran Handbook

thousands of scientists, engineers, and others who wish to take advantage of the power of both vector and parallel supercomputers, five of the;

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Mathematics of Multidimensional Fourier Transform Algorithms

-dimensional Fourier transforms that yield highly efficient code on a variety of vector and parallel computers. By emphasizing the unified basis for;

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Parallel Processing of Discrete Problems

of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;

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Parallel Evolution of Parallel Processors

A survey covering three decades of parallel processors including machines built in academia and research labs as well as in industry. The;

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Algorithms & Tools for Parallel Computing on Heterogeneous Clusters

This book features chapters which explore algorithms, programming languages, systems, tools and theoretical models aimed at high;

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Natural and Artificial Parallel Computation

experimental instruments for the study of all parallel systems.Michael A. Arbib is Professor of Computer Science, Neurobiology, and;

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Parallel Computers 2

is also useful for research workers, machine designers, and programmers concerned with parallel computers. In addition, it will serve as a guide;

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Parallel Computers 2

is also useful for research workers, machine designers, and programmers concerned with parallel computers. In addition, it will serve as a guide;

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Computers, Software Engineering, and Digital Devices

multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has expanded into a;

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Unstructured Scientific Computation on Scalable Multiprocessors

This book focuses on the implementation of such algorithms on parallel computers, such as hypercubes and the Connection Machine®, that can;

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Performance Modelling Techniques for Parallel Supercomputing Applications

common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however;

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Introduction to Parallel Computing

distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and;

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Parallel Computing in Quantum Chemistry

; measures for predicting and assessing the performance of parallel algorithms; and fundamental issues of designing and implementing parallel;

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