Software Automatic Tuning : From Concepts to State-of-the-Art Results /
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Materias: |
Tabla de Contenidos:
- Software Automatic Tuning: Concepts and State-of-the-Art Results
- Achievements in Scientific Computing
- ATLAS Version 3.9: Overview and Status
- Autotuning Method for Deciding Block Size Parameters in Dynamically Load-Balanced BLAS
- Automatic Tuning for Parallel FFTs
- Dynamic Programming Approaches to Optimizing the Blocking Strategy for Basic Matrix Decompositions
- Automatic Tuning of the Division Number in the Multiple Division Divide-and-Conquer for Real Symmetric Eigenproblem
- Automatically Tuned Mixed-Precision Conjugate Gradient Solver
- Automatically Tuned Sparse Eigensolvers
- Systematic Performance Evaluation of Linear Solvers Using Quality Control Techniques
- Application of Alternating Decision Trees in Selecting Sparse Linear Solvers
- Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation Framework
- Exploring Tuning Strategies for Quantum Chemistry Computations
- Automatic Tuning of CUDA Execution Parameters for Stencil Processing
- Static Task Cluster Size Determination in Homogeneous Distributed Systems
- Evolution to a General Paradigm
- Algorithmic Parameter Optimization of the DFO Method with the OPAL Framework
- A Bayesian Method of Online Automatic Tuning
- ABCLibScript: A Computer Language for Automatic Performance Tuning
- Automatically Tuning Task-Based Programs for Multicore Processors
- Efficient Program Compilation Through Machine Learning Techniques
- Autotuning and Specialization: Speeding up Matrix Multiply for Small Matrices with Compiler Technology.