Table of Contents for: Parallel processing for scientific compu

 Staff view

You must be logged in to Tag Records

Parallel processing for scientific computing [electronic resource] /

edited by Michael A. Heroux, Padma Raghavan, Horst D. Simon.

Book Cover
Names: Heroux, Michael A. | Raghavan, Padma. | Simon, Horst D.
Published: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2006.
Series: Software, environments, tools ; 20.
Topics: Parallel processing (Electronic computers)
Tags: Add


Spaces will separate tags.
Use quotes for multi-word tags.


List of figures -- List of tables -- Preface -- Chapter 1. Frontiers of scientific computing: an overview -- Part I: Performance modeling, analysis and optimization. Chapter 2. Performance analysis: from art to science -- Chapter 3. Approaches to architecture-aware parallel scientific computation -- Chapter 4. Achieving high performance on the BlueGene/L Supercomputer -- Chapter 5. Performance evaluation and modeling of ultra-scale systems --
Part II: Parallel algorithms and enabling technologies. Chapter 6. Partitioning and load balancing -- Chapter 7. Combinatorial parallel and scientific computing -- Chapter 8. Parallel adaptive mesh refinement -- Chapter 9. Parallel sparse solvers, preconditioners, and their applications -- Chapter 10. A survey of parallelization techniques for multigrid solvers -- Chapter 11. Fault tolerance in large-scale scientific computing --
Part III: Tools and frameworks for parallel applications. Chapter 12. Parallel tools and environments: a survey -- Chapter 13. Parallel linear algebra software -- Chapter 14. High-performance component software systems -- Chapter 15. Integrating component-based scientific computing software --
Part IV: Applications of parallel computing. Chapter 16. Parallel algorithms for PDE-constrained optimization -- Chapter 17. Massively parallel mixed-integer programming -- Chapter 18. Parallel methods and software for multicomponent simulations -- Chapter 19. Parallel computational biology -- Chapter 20. Opportunities and challenges for parallel computing in science and engineering -- Index.

Table of Contents for: Parallel processing for scientific compu