Parallel Numerical Algorithms - PDF Free Download
Algorithms: Sequential, Parallel, and Distributed. Parallel and Distributed Computation Numerical Methods.
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- Large-scale Parallel Numerical Computing Technology Research Team.
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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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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.
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.
Grid Cluster and Cloud Computing 7. Peer to Peer Computing 8.
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