5 edition of **Applied Parallel Computing. Industrial Computation and Optimization** found in the catalog.

- 58 Want to read
- 36 Currently reading

Published
**December 23, 1996**
by Springer
.

Written in English

- Applications of Computing,
- Mathematical theory of computation,
- Parallel Processing,
- Technology: General Issues,
- Programming - General,
- Congresses,
- Computers,
- Computers - General Information,
- Parallel processing (Electronic computers),
- Sociology,
- Parallel processing (Electroni,
- Data Processing - Parallel Processing,
- Computer Science,
- Computers / Programming / General,
- Industrielles Rechnen,
- Massiv-paralleles Rechnen,
- Numerische Algorithmen,
- Optimierung,
- Parallelverarbeitung,
- industrial-strength computing

**Edition Notes**

Contributions | Jerzy Wasniewski (Editor), Jack Dongarra (Editor), Kaj Madsen (Editor), Dorte Olesen (Editor) |

The Physical Object | |
---|---|

Format | Paperback |

Number of Pages | 722 |

ID Numbers | |

Open Library | OL9062059M |

ISBN 10 | 3540620958 |

ISBN 10 | 9783540620952 |

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Parallel Computing Numerics, Applications, and Trends new approaches from parallel numerics are important for solving complex computational problems on parallel and/or distributed systems. This invaluable text/reference presents the state of the art in parallel and distributed computing. The book is a must-read for all scientists who. Aerodynamic Shape Optimization and Parallel Computing Applied to Industrial Problems (P. Weinerfelt, O. Enoksson). 2. Affordable Parallel Computing Accurate Implicit Solution of 3-D Navier-Stokes Equations on Cluster of Work Stations (Ü.

At the 19th Annual Conference on Parallel Computational Fluid Dynamics held in Antalya, Turkey, in May , the most recent developments and implementations of large-scale and grid computing were presented. This book, comprised of the invited and selected papers of this conference, details those advances, which are of particular interest to CFD and CFD-related communities. Purchase Parallel Computing: Fundamentals, Applications and New Directions, Volume 12 - 1st Edition. Print Book & E-Book. ISBN ,

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This book constitutes the refereed proceedings of the Third International Workshop on Applied Parallel Computing, PARA'96, held in Lyngby, Denmark, in August The volume presents revised full versions of 45 carefully selected contributed papers together with 31 invited presentations.

Parallel Computing in Optimization (Applied Optimization (7)) [Migdalas, A., Pardalos, Panos M., Storøy, Sverre] on *FREE* shipping on qualifying offers. Parallel Computing in Optimization (Applied Optimization (7))Author: A. Migdalas. This book constitutes the carefully refereed proceedings of the 4th International Workshop on Applied Parallel Computing, PARA'98, held in Umea, Sweden, in June The 75 revised papers presented were carefully reviewed and selected for inclusion in the book.

The papers address a variety of. The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of Cited by: Applied Parallel Computing.

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. Audience: Parallel Computing in Optimization is addressed not only to researchers of mathematical programming, but to all scientists in various disciplines who use optimization methods in parallel and multiprocessing environments to model and solve problems.

Based on parallel Branch and Bound algorithms, the advantages as well as the difficulties and pitfalls in connection with parallel search-based methods are outlined.

Experiences with parallel search-based methods from the three fields mentioned are then described and compared in order to reveal similarities as well as differences across the by: 5. Handbook of Parallel Computing and Statistics - CRC Press Book After a brief introduction to parallel computing, the book explores the architecture, programming, and computational aspects of parallel processing.

Focus then turns to optimization methods followed by statistical applications. Over 60 trainings all over Europe for universities and industry On-site trainings on the whole range of GPU computing technologies Each lecture accompanied with a practical session on remote GPU cluster Best recipes of GPU code optimization, based on our 5-year development experience We have multiple training programs and even books.

Check out our catalogue here. In this paper we present parallel implementations of 2 classical optimization methods, namely the Quasi-Newton method for non-linear minimization and Author: Ole Tingleff.

Applied Parallel Computing Industrial Computation and Optimization, () The design of a parallel dense linear algebra software library: Reduction to Cited by: Parallel 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. The new cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge.

However, as with a parallel computer itself, the scientific computing community benefits from a better balance between individual computations and communication.

Efficient use of a distributed memory parallel computer requires that the computational load be balanced across processors in a way that minimizes interprocessor communication.

A new domain mapping algorithm is presented that extends recent work in which ideas from spectral graph theory have been applied to this by: Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel : Hardcover.

The main concern of this work is the organization and performance of these computations on parallel computers. This work introduces a formulation of the N-body problem as a set of recursive equations based on a few elementary by: PARSMI, a parallel revised simplex algorithm incorporating minor iterations and Devex pricing.

Abstract. When solving linear programming problems using the revised simplex method, two common variants are the incorporation of minor iterations of the standard simplex method applied to a small subset of the variables and the use of Devex by: The volume contains 12 papers of 20 authors from four general areas: (I) the use of massive parallel systems (data parallelism), (II) the use of coarse-grained parallel approaches on multiprocessor systems (control parallelism), (III) OpTiX - a system for parallel nonlinear optimization and (IV) using concepts from nature for parallel : Paperback.

Heuveline V., Sadkane M. () Parallel computation of spectral portrait of large matrices. In: Waśniewski J., Dongarra J., Madsen K., Olesen D. (eds) Applied Parallel Computing Industrial Computation and Optimization. PARA Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg.

First Online 07 June Cited by: 3. Description: Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms.

This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing.

Get this from a library! Applied parallel computing: industrial computation and optimization: third international workshop, PARA '96, Lyngby, Denmark, August 18 .Publisher Summary. This chapter describes the activities of the Caltech Concurrent Computation Program.

The initial focus of C 3 P was the hypercube architecture developed by at Caltech, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.C 3 P was both atechnical and social experiment.Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms.

This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing.