Parallel Numerical Algorithms


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Algorithms: Sequential, Parallel, and Distributed. Parallel and Distributed Computation Numerical Methods.

Large-scale Parallel Numerical Computing Technology Research Team

Parallel algorithms and cluster computing.. The Design and Analysis of Parallel Algorithms.

Parallel Algorithms for Approximation of Distance Maps on Parametric Surfaces

Introduction to Parallel Processing: Algorithms and Architectures. Efficient and Accurate Parallel Genetic Algorithms.


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Computational Complexity of Sequential and Parallel Algorithms. The design and analysis of parallel algorithms. Introduction to Parallel Processing - Algorithms and Architectures. Parallel Computers: Architecture, Programming and Algorithms. Introduction to parallel processing: algorithms and architectures.

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Hartmanis T. Theohans Algorithms for Parallel Polygon R Robust and efficient parallel numerical algorithms and their implementation into software tools capable of harnessing the processing power of modern computing architectures are crucial components for large-scale computational science and engineering applications.


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  • Formal Methods and Software Engineering: 4th International Conference on Formal Engineering Methods, ICFEM 2002 Shanghai, China, October 21–25, 2002 Proceedings;
  • Parallel Numerical Algorithms. Vol. I..
  • The sessions of this topic will provide a forum for the presentation and discussion of new developments in the field of parallel and distributed numerical algorithms. All aspects of their design and implementation will be addressed, ranging from fundamental algorithmic concepts, to their efficient implementation on modern parallel architectures including heterogeneous multi-core systems, multi-GPU based computers, clusters and the Grid , to software design and prototyping in scientific computing or simulation software environments, and to performance analysis.

    Areas of interest include but are not limited to : dense and sparse linear algebra partial differential equations ordinary differential and differential algebraic equations domain decomposition optimization nonlinear systems integral equations transforms wavelets, FFTs, Support Tools and Environments 2.

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    Parallel Numerical Algorithms Group @VT

    Performance Prediction and Evaluation 3. Scheduling and Load Balancing 4. High-Performance Architecture and Compilers 5. Parallel and Distributed Data Management 6.


    • Parallel Numerical Algorithms | EPCC at The University of Edinburgh.
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