Results 271 to 280 of about 573,153 (341)

Numerical and Levenberg–Marquardt backpropagation neural networks computation of ternary nanofluid flow across parallel plates with Nield boundary conditions

The European Physical Journal Plus, 2023
R. Sharma, J. Madhukesh, Sunendra Shukla, B. Prasannakumara   +3 more
semanticscholar   +1 more source

Parallel computations based on modified numerical integration methods

AIP Conference Proceedings, 2012
Even though the idea of parallel computing and parallel connection of high amount of microprocessors is attractive, it is not easy to reach big increase in performance compared to single processor approach. The potential of parallel data processing has already been studied. It was found, that even a small percentage of sequential steps may lead to high
Jiří Kunovský, Michal Kraus, Václav Šátek, Alexandr Szöllös   +3 more
openaire   +1 more source

Parallel Computer Architectures for Numerical Simulation

1994
Numerical simulation requires very high performance computer architectures. This can only be achieved by using various forms of parallelism. The second section of this paper gives an introduction to the state-of-the-art in parallel computer architectures and their programming. Today, some open problems remain for the user of such architectures.
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Overview – Parallel Computing: Numerics, Applications, and Trends

2009
This book is intended for researchers and practitioners as a foundation for modern parallel computing with several of its important parallel applications, and also for students as a basic or supplementary book to accompany advanced courses on parallel computing.
Marián Vajteršic, Peter Zinterhof, Roman Trobec   +2 more
openaire   +1 more source

Numerically intensive computing as a benchmark for parallel computer architectures

1995
We compare execution time for typical numerical problems, obtained on different parallel architectures, including typical vector supercomputers, multiprocessors and network of computers with PVM environment.
K. Boryczko, J. Kitowski, J. MoŚciński, A. Leszczyński   +3 more
openaire   +1 more source

MIMD VERSUS SIMD COMPUTATION: EXPERIENCE WITH NON-NUMERIC PARALLEL ALGORITHMS∗ †

Parallel Algorithms and Applications, 1994
The authors study the design and implementation issues for nonnumeric parallel algorithms on multiple instruction/multiple data (MIMD) and single instruction, multiple data (SIMD) machines. Prototypical examples considered are time-space optimal merging and sorting routines.
C. Breshears, M.A. Langston
openaire   +1 more source

Parallel computing in numerical optimization

Parallel Computing, 2003
A. Migdalas, G. Toraldo, V. Kumar
openaire   +3 more sources

Numerical Algorithms for Modern Parallel Computer Architectures

1988
Parallel computers have started to completely revolutionize scientific computation. Articles in this volume represent applied mathematics, computer science, and application aspects of parallel scientific computing. Major advances are discussed dealing with multiprocessor architectures, parallel algorithm development and analysis, parallel systems and ...
openaire   +1 more source

"Non-numerical aspects of computations on parallel hardware"

1981
The organization and interaction of data is important for both the natural expression and efficient execution of parallel computation. A set of basic non-numerical operations is outlined which is readily implemented on single instruction stream multiple data stream (SIMD) computers; the relevance of this to parallel processing is illustrated in a ...
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Numerical simulation of physical phenomena by parallel computing

1987
Beside experiment and theory, computational science is a new methodology, for the advance in research and development in natural and engineering sciences. In many fields numerical simulation becomes more and more important for industrial development and production (e.g. car builders, aircraft industry).
openaire   +1 more source