4 edition of Fast algorithms and their implementation on specialized parallel computers found in the catalog.
by VEDA, Pub. House of the Slovak Academy of Sciences, North-Holland, Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. in Bratislava, New York, New York
Written in English
|Statement||J. Mikloško ... [et al.] ; edited by J. Mikloško.|
|Series||Special topics in supercomputing ;, v. 5|
|LC Classifications||QA76.5 .F354 1989|
|The Physical Object|
|Pagination||xv, 261 p. :|
|Number of Pages||261|
|LC Control Number||86024136|
() New fast parallel algorithm for the connected component problem and its VLSI implementation. International Journal of Systems Science , () Constant time algorithms for the transitive closure and some related graph problems on processor arrays with reconfigurable bus systems. The speed up of a parallel algorithm with respect to sequential one for the case of the Cauchy problem. Four various known numerical methods are applied for solving of the problem. Vrt'o, I., Klette, R.: Fast Algorithms and Their Implementation on Specialized Parallel Computers. Veda-North-Holland, Bratislava,
In Parallel Iterative Algorithms: From Sequential to Grid Computing (Chapman & Hall/CRC, ) Bahi, Contassot-Vivier, and Couturier bring mathematical formalism to the study of parallel iterative solution techniques, creating a book that will be useful to those with a strong maths background who are making the transition into parallel scientific computing. Parallel implementation of the algorithm involved parallelizing each of the following four steps: (1) nonlinear step, (2) forward F Eq. 25, (3) linear step and (4) backward F-1 Eq. The difficulty of parallelizing spectral method algorithms arises in steps 2 and 4, because there are nontrivial data dependences over the entire range 0≤L≤N.
Parallel Scientific Computing in C++ & Mpi A Seamless Approach to Parallel Algorithms & Their Implementation by George Karniadakis available in Trade Paperback on , also read synopsis and This book provides a seamless approach to numerical algorithms, modern programming techniques, and. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the .
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Fast algorithms and their implementation on specialized parallel computers. Bratislava: VEDA, Pub. House of the Slovak Academy of Sciences ; New York: North-Holland ; New York: Sole distributors for the U.S.A. and Canada, Elsevier Science Pub.
Co., In the preceding chapter, we have shown some parallelization principles applied in fast algorithms for solving boundary value problems for elliptic partial differential equations. The algorithms described were formulated and their computational complexity discussed for theoretical model parallel : Marián Vajteršic.
Abstract This book focuses on numerical algorithms suited for parallelization for solving systems of equations and optimization problems. Emphasis on relaxation methods of the Jacobi and Gauss-Seidel type, and issues of communication and synchronization.
Abstract. The paper deals with parallelization of multigrid algorithms for some specialized parallel computer systems. These algorithms are optimal because the number of operations that have to be performed linearly depends on the Cited by: 1. Algorithmically Specialized Parallel Computers focuses on the concept and characteristics of an algorithmically specialized computer.
This book discusses the algorithmically specialized computers, algorithmic specialization using VLSI, and innovative architectures. Purchase Algorithmically Specialized Parallel Computers - 1st Edition.
Print Book & E-Book. ISBNAlgorithms and Parallel Computing PDF Download for free: Book Description: There is a software gap between the hardware potential and the performance that can be attained using today’s software parallel program development tools.
The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm [ ]. The parallel algorithms in this chapter have been drawn principally from the area of graph theory.
They represent only a scant selection of the present array of parallel algorithms. The techniques introduced in this chapter, however, are quite representative of the techniques used for parallel algorithms in other areas of computer science. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Scientific computing is by its very nature a practical subject- it requires tools and a lot of practice.
To solve realistic problems we need not only fast algorithms but also a combination of good tools and fast computers.
This is the subject of the current book, which emphasizes equally all three: algorithms, tools. Parallel Algorithms and Parallel Architectures 13 Relating Parallel Algorithm and Parallel Architecture 14 Implementation of Algorithms: A Two-Sided Problem 14 Measuring Beneﬁ ts of Parallel Computing 15 Amdahl’s Law for Multiprocessor Systems 19 Gustafson–Barsis’s Law 21 Applications of Parallel Computing Parallel scientific computing in C++ and MPI: a seamless approach to parallel algorithms and their implementation by George Em Karniadakis, Robert M.
Kirby Ii, Scientific computing is by its very nature a practical subject- it requires tools and a lot of practice. Two algorithms for parallel multiplication of two n-bit binary numbers are presented. Both use column compression to increase the speed of execution.
They require almost regular interconnection between only two types of cells and hence are very suitable for VLSI implementation. Fast algorithms and their implementation on specialized parallel computers. January a processor topology for the parallel implementation of these algorithms is examined.
This topology is. Introduction to Parallel Algorithms Joseph JaJa, University of Maryland. Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms.
The emphasis is on the application of the PRAM (pa. I think the authors should have organised the book in four parts: 1 - Numerical algorithms, 2 - C++ and 3 - Parallel computing with MPI, 4 - Advanced topics.
Part 1 could introduce numerical algorithms and have pointers to their implementations in Part 2 and corresponding parallel implementations in Part s: 5. George Em Karniadakis, Robert M. Kirby II This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing.
These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the. Discrete orthogonal transforms such as the discrete Fourier transform, discrete cosine transform, discrete Hartley transform, etc., are important tools in numerical analysis, signal processing, and statistical methods.
The successful application of transform techniques relies on the existence of efficient fast algorithms for their implementation. A special place in the list of transformations.
This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing. These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the connection between them.
The necessity of integrating these subjects usually comes after such courses are concluded (e.g., during a first job or a thesis Reviews: 2. implementation of parallel pipelined space-time adaptive processing (STAP) algorithms on parallel computers.
In particular, the issues involved in parallelization, our approach to parallelization, and performance results on an Intel Paragon he described.
The process of developing software for such an.  G. Karniadakis, R. Kirby II, Parallel Scientiﬁc Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation, Cambridge University Press, J  F.
Gebali, Algorithms and Parallel Computing, Wiley, Ap  J. JaJa, Introduction to Parallel Algorithms, 1st ed. Addison-Wesley. I think the authors should have organised the book in four parts: 1 - Numerical algorithms, 2 - C++ and 3 - Parallel computing with MPI, 4 - Advanced topics.
Part 1 could introduce numerical algorithms and have pointers to their implementations in Part 2 and corresponding parallel implementations in Part 3.As we stated in Sectiona parallel algorithm is composed of a number of algorithm components. These components are intended to solve the subproblems into which the original problem has been divided.
Normally, the components cooperate with each other using intermediate results of computation as well as synchronize their action.Parallel Algorithms and Parallel Architectures Relating Parallel Algorithm and Parallel Architecture Implementation of Algorithms: A Two-Sided Problem Measuring Benefi ts of Parallel Computing Amdahl’s Law for Multiprocessor Systems Gustafson–Barsis’s Law Applications of Parallel.