High-Performance Scientific Computing Algorithms and Applications /

Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival - and in many cases exceed - experimental methodologies. This comprehensiv...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Berry, Michael W. (Editor ), Gallivan, Kyle A. (Editor ), Gallopoulos, Efstratios (Editor ), Grama, Ananth (Editor ), Philippe, Bernard (Editor ), Saad, Yousef (Editor ), Saied, Faisal (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Numerical analysis.
Information storage and retrieval systems.
Computer science-Mathematics.
Numerical Analysis.
Information Storage and Retrieval.
Mathematical Applications in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Parallel Numerical Computing from Illiac IV to Exascale
  • Computational Capacity-Based Co-design of Computer Systems
  • Measuring Computer Performance
  • A Compilation Framework for the Automatic Restructuring of Pointer-Linked Data Structures
  • Dense Linear Algebra on Accelerated Multicore Hardware
  • The Explicit SPIKE Algorithm
  • The SPIKE Factorization as Domain Decomposition Method
  • Parallel Solution of Sparse Linear Systems
  • Parallel Block-Jacobi SVD Methods
  • Robust and Efficient Multifrontal Solver for Large Discretized PDEs
  • A Preconditioned Scheme for Nonsymmetric Saddle-Point Problems
  • Effect of Ordering for Iterative Solvers in Structural Mechanics Problems
  • Scaling Hypre's Multigrid Solvers to 100,000 Cores
  • A Riemannian Dennis-Moré Condition
  • A Jump-Start of Non-Negative Least Squares Solvers
  • Fast Nonnegative Tensor Factorization with an Active-Set-Like Method
  • Knowledge Discovery Using Nonnegative Tensor Factorization with Visual Analytics.

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