2 edition of **Parallel computers and computations** found in the catalog.

- 134 Want to read
- 10 Currently reading

Published
**1985**
by Centrum voor Wiskunde en Informatica in Amsterdam
.

Written in English

**Edition Notes**

Statement | edited by J. van Leeuwen & J.K. Lenstra. |

Series | CWI syllabus -- 9 |

Contributions | Leeuwen, J. van, Lenstra, J. K., Centrum voor Wiskunde en Informatica. 1985. |

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

Pagination | 184p. ; |

Number of Pages | 184 |

ID Numbers | |

Open Library | OL16770893M |

ISBN 10 | 9061962978 |

Parallel computations. Publication date Topics Science -- Data processing, Parallel processing (Electronic computers), Sciences -- Informatique, Parallélisme (Informatique), Programmierung, Parallelverarbeitung, Informatique, Parallelrechner, Parallelisme (Informatique) Borrow this book to access EPUB and PDF files. IN : With widespread access to personal computers, the topic of parallel computing as a whole, and parallel algorithms in particular, is now often seen as a bygone fashion of the s and early s. Most computer science students appear to be more tempted by currently fashionable electives such as “Programming on the Internet” and.

Qin B, Sholl H and Ammar R () Micro Time Cost Analysis of Parallel Computations, IEEE Transactions on Computers, , (), Online publication date: 1-May Miranker D and Lofaso B () The Organization and Performance of a TREAT-Based Production System Compiler, IEEE Transactions on Knowledge and Data Engineering, , ( Parallel Computations focuses on parallel computation, with emphasis on algorithms used in a variety of numerical and physical applications and for many different types of parallel computers. Topics covered range from vectorization of fast Fourier transforms (FFTs) and of the incomplete Cholesky conjugate gradient (ICCG) algorithm on the Cray

This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked computers .

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Parallel Computations focuses on parallel computation, with emphasis on algorithms used in a variety of numerical and physical applications and for many different types of parallel computers. Topics covered range from vectorization of fast Fourier transforms (FFTs) and of the incomplete Cholesky conjugate gradient (ICCG) algorithm on the Cray ISBN: OCLC Number: Description: pages: illustrations ; 24 cm.

Contents: Parallel computers and algorithms / J. van Leeuwen --Comparative performance tests of Fortran codes on the Cray-1 and Cyber / H.A. van der Vorst --Parallel algorithms in computational linear algebra / D.J.

Evans --An internal view of the Cyber. This book discusses the algorithmically specialized computers, algorithmic specialization using VLSI, and innovative architectures.

The architectures and algorithms for digital signal, speech, and image processing and specialized architectures for numerical computations are. Sparse Matrix Computations is a collection of papers presented at the Symposium by the same title, held at Argonne National Laboratory.

This book is composed of six parts encompassing 27 chapters that contain contributions in several areas of matrix computations and some of the most potential research in numerical linear algebra. Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously.

Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

Parallel Computations focuses on parallel computation, with emphasis on algorithms used in a variety of numerical and physical applications and for many different types of parallel computers.

Topics covered range from vectorization of fast Fourier transforms (FFTs) and of the incomplete Cholesky conjugate gradient Parallel computers and computations book algorithm on the Cray-1 Book Edition: 1.

A clear illustration of how parallel computers can be successfully applied to large-scale scientific computations.

This book demonstrates how a variety of applications in physics, biology, mathematics and other sciences were implemented on real parallel computers to produce new scientific results.5/5(1). How Parallel Computing Works. C P's research showed that PCW: Parallel Computers work in a large class of scientific and engineering computations.

The book quantifies and exemplifies this assertion. In Chapter 2, we provide the national overview of parallel. @article{osti_, title = {Highly parallel computing}, author = {Almasi, G.S.

and Gottlieb, A.}, abstractNote = {This paper offers the basic principles of parallel computing as well as case studies of more than 20 parallel computers constructed by universities and commercial firms. All of the machines considered are designed to apply several or a great number of processors to.

However, multicore processors capable of performing computations in parallel allow computers to tackle ever larger problems in a wide variety of applications. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed Cited by: 4.

22 Parallel Computation. Many computations in R can be made faster by the use of parallel computation. Generally, parallel computation is the simultaneous execution of different pieces of a larger computation across multiple computing processors or cores.

Describes a selection of important parallel algorithms for matrix computations. Reviews the current status and provides an overall perspective of parallel algorithms for solving problems arising in the major areas of numerical linear algebra, including (1) direct solution of dense, structured, or sparse linear systems, (2) dense or structured least squares computations, (3).

Parallel computing is a type of computing architecture in which several processors execute or process an application or computation simultaneously. Parallel computing helps in performing large computations by dividing the workload between more than one processor, all of which work through the computation at the same time.

Most supercomputers. Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. - Selection from Introduction to Parallel Computing, Second Edition [Book].

Modeling parallel computations is more complicated than modeling sequential computations because in practice parallel computers tend to vary more in organization than do sequential com-puters. As a consequence, a large portion of the research File Size: KB.

The title of the book, "Parallel Computing Works," reveals our belief that we answered the question in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results.

In the process of doing so, C3P helped design and build several new computers, designed. What is Parallel Computation. Computations that use multi-processor computers and/or several independent computers interconnected in some way, working together on a common task. • Examples: CRAY T3E, IBM-SP, SGI-3K, Cluster of Workstations.

Why use Parallel Computation. • Computing power (speed, memory) • Cost/Performance File Size: KB. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC and CRAY vector-computers, and the MPP binary array processor.

The study of data organization in parallel computations was introduced as early as 2 Parallel Computing The largest and most powerful computers are sometimes called `supercomputers'. For the last two decades, this has, without exception, referred to parallel computers: machines with more than one CPU that can be set to work on the same problem.

Parallelism is hard to define precisely, since it can appear on several levels. Get this from a library.

Parallelism in matrix computations. [E J Gallopoulos; Bernard Philippe; Ahmed Sameh] -- This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.

It assumes general but not extensive. This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August The 60 revised full papers included have been contributed by physicists, chemists, and.title = "Parallel computing and domain decomposition", abstract = "Domain decomposition techniques appear a natural way to make good use of parallel computers.

In particular, these techniques divide a computation into a local part, which may be done without any interprocessor communication, and a part that involves communication between Cited by: Parallel computing is not a new technology in the computing industry.

It is a technique that has been in use for more than twenty five years now to perform various computations using computers.

Through use of parallel computing, it is possible .