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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Berry, Michael W. (Editor), Gallivan, Kyle A. (Editor), Gallopoulos, Efstratios (Editor), Grama, Ananth (Editor), Philippe, Bernard (Editor), Saad, Yousef (Editor), Saied, Faisal (Editor)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2012.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.