[share_ebook] Parallel Algorithms and Cluster Computing _ Implementations,Algorithms and Applications

Description

• Publisher: Springer
• Publish Date: 2006
• Pages: 366

Editors
        Timothy J. Barth
        Michael Griebel
        David E. Keyes
        Risto M. Nieminen
        Dirk Roose
        Tamar Schlick
Publisher: Springer 2006
Pages: 366
ISBN-10 3-540-33539-0 Springer Berlin Heidelberg New York
ISBN-13 978-3-540-33539-9 Springer Berlin Heidelberg New York

Preface
High performance computing has changed the way in which science progresses.
During the last 20 years the increase in computing power, the development of
effective algorithms, and the application of these tools in the area of physics
and engineering has been decisive in the advancement of our technological
world. These abilities have allowed to treat problems with a complexity which
had been out of reach for analytical approaches. While the increase in performance
of single processes has been immense the increase of massive parallel
computing as well as the advent of cluster computers has opened up the possibilities
to study realistic systems. This book presents major advances in high
performance computing as well as major advances due to high performance
computing. The progress made during the last decade rests on the achievements
in three distinct science areas.
Open and pressing problems in physics and mechanical engineering are the
driving force behind the development of new tools and new approaches in these
science areas. The treatment of complex physical systems with frustration
and disorder, the analysis of the elastic and non-elastic movement of solids
as well as the analysis of coupled fluid systems, pose problems which are
open to a numerical analysis only with state of the art computing power and
algorithms. The desire of scientific accuracy and quantitative precision leads
to an enormous demand in computing power. Asking the right questions in
these areas lead to new insights which have not been available due to other
means like experimental measurements.
The second area which is decisive for effective high performance computing
is a realm of effective algorithms. Using the right mathematical approach
to the solution of a science problem posed in the form of a mathematical
model is as crucial as asking the proper science question. For instance in the
area of fluid dynamics or mechanical engineering the appropriate approach by
finite element methods has led to new developments like adaptive methods or
wavelet techniques for boundary elements.
The third pillar on which high performance computing rests is computer
science. Having asked the proper physics question and having developed an
appropriate effective mathematical algorithm for its solution it is the implementation
of that algorithm in an effective parallel fashion on appropriate
hardware which then leads to the desired solutions. Effective parallel algorithms
are the central key to achieving the necessary numerical performance
which is needed to deal with the scientific questions asked. The adaptive load
balancing which makes optimal use of the available hardware as well as the
development of effective data transfer protocols and mechanisms have been
developed and optimized.
This book gives a collection of papers in which the results achieved in the
collaboration of colleagues from the three fields are presented. The collaboration
took place within the Sonderforschungsbereich SFB 393 at the Chemnitz
University of Technology. From the science problems to the mathematical algorithms
and on to the effective implementation of these algorithms on massively
parallel and cluster computers we present state of the art technology.
We highlight the connections between the fields and different work packages
which let to the results presented in the science papers.
Our presentation starts with the Implementation section. We begin with
a view on the implementation characteristics of highly parallelized programs,
go on to specifics of FEM and quantum mechanical codes and then turn to
some general aspects of postprocessing, which is usually needed to analyse the
obtained data further.
The second section is devoted to Algorithms. The main focus is on FEM
algorithms, starting with a discussion on efficient preconditioners. Then the
focus is on a central aspect of FEM codes, the aspect ratio, and on problems
and solutions to non-matching meshes at domain boundaries. The Algorithm
section ends with discussing adaptive FEM methods in the context of
elastoplastic deformations and a view on wavelet methods for boundary value
problems.
The Applications section starts with a focus on disordered systems, discussing
phase transitions in classical as well as in quantum systems. We then
turn to the realm of atomic organization for amorphous carbons and for heterophase
interphases in Titanium-Silicon systems. Methods used in classical
as well as in quantum mechanical systems are presented.We finish by a glance
on fluid dynamics applications presenting an analysis of Lyapunov instabilities
for Lenard-Jones fluids.
While the topics presented cover a wide range the common background is
the need for and the progress made in high performance parallel and cluster
computing.
Chemnitz Karl Heinz Hoffmann
March 2006 Arnd Meyer

--------------------------------------------------------------------------------------------------------
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
Parallel Algorithms and Cluster Computing_Implementations,Algorithms and Applications, Karl Heinz Hoffmann eds,Springer 2006.rar
--------------------------------------------------------------------------------------------------------

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "[share_ebook] Parallel Algorithms and Cluster Computing _ Implementations,Algorithms and Applications" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2559
2. Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications
3. Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications
4. Parallel Computing: Architectures, Algorithms and Applications - Volume 15 Advances in Parallel Computing (Repost)
5. Parallel Computing: Architectures, Algorithms and Applications
6. Handbook of Parallel Computing: Models, Algorithms and Applications
7. Handbook of Parallel Computing: Models, Algorithms and Applications
8. [share_ebook] Parallel Algorithms and Cluster Computing.Timothy J. Barth.Springer.2006
9. Parallel Scientific Computing in C and MPI: A Seamless Approach to Parallel Algorithms and their Implementation (Repost)
10. Parallel Scientific Computing in C and MPI: A Seamless Approach to Parallel Algorithms and their Implementation
11. Parallel Scientific Computing in C and MPI: A Seamless Approach to Parallel Algorithms and their Implementation
12. [share_ebook] Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
13. [share_ebook] Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications
14. Parallel Iterative Algorithms: From Sequential to Grid Computing
15. An Introduction to Parallel Computing: Design and Analysis of Algorithms, Second Edition
16. [share_ebook] Global Optimization in Action: Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications