An Introduction To Parallel And Vector Scientific Computingparallels
In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing.
Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.
Author by: Gene H. Golub Languange: en Publisher by: Elsevier Format Available: PDF, ePub, Mobi Total Read: 91 Total Download: 146 File Size: 42,9 Mb Description: This book introduces the basic concepts of parallel and vector computing in the context of an introduction to numerical methods. It contains chapters on parallel and vector matrix multiplication and solution of linear systems by direct and iterative methods. It is suitable for advanced undergraduate and beginning graduate courses in computer science, applied mathematics, and engineering.
An Introduction To Parallel And Vector Scientific Computing Parallels
Ideally, students will have access to a parallel or Vector computer, but the material can be studied profitably in any case. Gives a modern overview of scientific computing including parallel an vector computation. Introduces numerical methods for both ordinary and partial differential equations. Has considerable discussion of both direct and iterative methods for linear systems of equations, including parallel and vector algorithms. Covers most of the main topics for a first course in numerical methods and can serve as a text for this course. Author by: Ronald W. Shonkwiler Languange: en Publisher by: Cambridge University Press Format Available: PDF, ePub, Mobi Total Read: 77 Total Download: 346 File Size: 49,5 Mb Description: In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism.
The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided.
By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods. Author by: Lloyd Dudley Fosdick Languange: en Publisher by: MIT Press Format Available: PDF, ePub, Mobi Total Read: 87 Total Download: 771 File Size: 49,7 Mb Description: Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers.
Author by: Joe Pitt-Francis Languange: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 83 Total Download: 753 File Size: 42,8 Mb Description: This easy-to-read textbook/reference presents an essential guide to object-oriented C programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Author by: Gene H. Golub Languange: en Publisher by: Elsevier Format Available: PDF, ePub, Mobi Total Read: 69 Total Download: 294 File Size: 54,7 Mb Description: Scientific Computing and Differential Equations: An Introduction to Numerical Methods, is an excellent complement to Introduction to Numerical Methods by Ortega and Poole. The book emphasizes the importance of solving differential equations on a computer, which comprises a large part of what has come to be called scientific computing. It reviews modern scientific computing, outlines its applications, and places the subject in a larger context. This book is appropriate for upper undergraduate courses in mathematics, electrical engineering, and computer science; it is also well-suited to serve as a textbook for numerical differential equations courses at the graduate level.
Author by: Raimondas Ciegis Languange: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 59 Total Download: 503 File Size: 46,6 Mb 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. 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 parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.
Author by: Peter Pacheco Languange: en Publisher by: Elsevier Format Available: PDF, ePub, Mobi Total Read: 20 Total Download: 856 File Size: 48,6 Mb Description: An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. Vr for computer. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models.
Author by: Jack Dongarra Languange: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 78 Total Download: 509 File Size: 47,8 Mb Description: This volume presents the proceedings of the First International workshop on Parallel Scientific Computing, PARA '94, held in Lyngby, Denmark in June 1994. It reports interdisciplinary work done by mathematicians, scientists and engineers working on large-scale computational problems in discussion with computer science specialists in the field of parallel methods and the efficient exploitation of modern high-performance computing resources. The 53 full refereed papers provide a wealth of new results: an up-to-date overview on high-speed computing facilities, including different parallel and vector computers as well as workstation clusters, is given and the most important numerical algorithms, with a certain emphasis on computational linear algebra, are investigated. Author by: Jack Dongarra Languange: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 13 Total Download: 627 File Size: 40,7 Mb Description: This book constitutes the refereed proceedings of the 7th International Conference on Applied Parallel Computing, PARA 2004, held in June 2004. The 118 revised full papers presented together with five invited lectures and 15 contributed talks were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections.