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**APA Citation**

Heroux, Michael A., Raghavan, Padma.Simon, Horst D.
(Eds.)
(2006)
*Parallel processing for scientific computing*Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),

**MLA Citation**

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# Parallel processing for scientific computing [electronic resource] /

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

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 |

000 | 04932cam a2200553 a 4500 |
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001 | 12291231 |

005 | 20140622015159.0 |

006 | m e d |

007 | cr bn |||m|||a |

008 | 101019s2006 paua ob 001 0 eng d |

010 | |z 2006045099 |

020 | |a9780898718133 (electronic bk.) |

020 | |z0898716195 (pbk.) |

020 | |z9780898716191 |

024 | 7 |aSE20|2siam |

035 | |a(CaBNvSL)gtp00544202 |

035 | |a(SIAM)9780898718133 |

035 | |a(IITdb)839595 |

040 | |aCaBNvSL|cCaBNvSL|dCaBNvSL|dIITdb |

050 | 4|aQA76.58|b.P37645 2006eb |

082 | 04|a004/.35|222 |

245 | 00|aParallel processing for scientific computing|h[electronic resource] /|cedited by Michael A. Heroux, Padma Raghavan, Horst D. Simon. |

260 | |aPhiladelphia, Pa. :|bSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),|c2006. |

300 | |a1 electronic text (xxiv, 397 p. : bill. (some col.)) :|bdigital file. |

490 | 1 |aSoftware, environments, tools ;|vSE20 |

504 | |aIncludes bibliographical references and index. |

505 | 0 |aList 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 -- |

505 | 8 |aPart 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 -- |

505 | 8 |aPart 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 -- |

505 | 8 |aPart 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. |

506 | |aRestricted to subscribers or individual electronic text purchasers. |

520 | |aParallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering. |

530 | |aAlso available in print version. |

538 | |aMode of access: World Wide Web. |

538 | |aSystem requirements: Adobe Acrobat Reader. |

588 | |aDescription based on title page of print version. |

650 | 0|aParallel processing (Electronic computers) |

653 | |aParallel processing |

653 | |aScientific computing |

653 | |aParallel algorithms |

653 | |aHigh-performance computing |

653 | |aComputational science and engineering |

700 | 1 |aHeroux, Michael A. |

700 | 1 |aRaghavan, Padma. |

700 | 1 |aSimon, Horst D. |

710 | 2 |aSociety for Industrial and Applied Mathematics. |

776 | 08|iPrint version:|z0898716195|z9780898716191|w(DLC) 2006045099 |

830 | 0|aSoftware, environments, tools ;|v20. |

856 | 40|3SIAM|uhttps://ezproxy.gl.iit.edu/login?url=http://epubs.siam.org/ebooks/siam/software_environments_and_tools/se20|zAccess to the electronic version for current IIT main & branch campus students, faculty, & staff. |