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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Springer London,
2012.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
