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| Author | : Geoffrey C. Fox |
| Publisher | : |
| Total Pages | : 616 |
| Release | : 1988 |
| Genre | : Business & Economics |
| ISBN | : |
This volume I concentrates on practically motivated model problems which serve to illustrate generic algorithmic and composition techniques.
| Author | : Barry Wittman |
| Publisher | : Purdue University Press |
| Total Pages | : 598 |
| Release | : 2013-12-31 |
| Genre | : Computers |
| ISBN | : 1626710104 |
Multicore microprocessors are now at the heart of nearly all desktop and laptop computers. While these chips offer exciting opportunities for the creation of newer and faster applications, they also challenge students and educators. How can the new generation of computer scientists growing up with multicore chips learn to program applications that exploit this latent processing power? This unique book is an attempt to introduce concurrent programming to first-year computer science students, much earlier than most competing products. This book assumes no programming background but offers a broad coverage of Java. It includes over 150 numbered and numerous inline examples as well as more than 300 exercises categorized as "conceptual," "programming," and "experiments." The problem-oriented approach presents a problem, explains supporting concepts, outlines necessary syntax, and finally provides its solution. All programs in the book are available for download and experimentation. A substantial index of at least 5000 entries makes it easy for readers to locate relevant information. In a fast-changing field, this book is continually updated and refined. The 2014 version is the seventh "draft edition" of this volume, and features numerous revisions based on student feedback. A list of errata for this version can be found on the Purdue University Department of Computer Science website.
| Author | : Michael T. Heath |
| Publisher | : SIAM |
| Total Pages | : 796 |
| Release | : 1987-01-01 |
| Genre | : Computers |
| ISBN | : 9780898712155 |
Proceedings -- Parallel Computing.
| Author | : Lubin Vulkov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 628 |
| Release | : 1997-02-26 |
| Genre | : Computers |
| ISBN | : 9783540625988 |
This book constitutes the refereed proceedings of the First International Workshop on Numerical Analysis and Its Applications, WNAA'96, held in Rousse, Bulgaria, in June 1996. The 57 revised full papers presented were carefully selected and reviewed for inclusion in the volume; also included are 14 invited presentations. All in all, the book offers a wealth of new results and methods of numerical analysis applicable in computational science, particularly in computational physics and chemistry. The volume reflects that the cooperation of computer scientists, mathematicians and scientists provides new numerical tools for computational scientists and, at the same time, stimulates numerical analysis.
| Author | : Michael T. Heath |
| Publisher | : SIAM |
| Total Pages | : 304 |
| Release | : 1986-01-01 |
| Genre | : Hypercube networks (Computer networks) |
| ISBN | : 9780898712094 |
Proceedings -- Parallel Computing.
| Author | : K. Gallivan |
| Publisher | : SIAM |
| Total Pages | : 207 |
| Release | : 1990-01-01 |
| Genre | : Mathematics |
| ISBN | : 9781611971705 |
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) dense or structured eigenvaluen and singular value computations, and (4) rapid elliptic solvers. The book emphasizes computational primitives whose efficient execution on parallel and vector computers is essential to obtain high performance algorithms. Consists of two comprehensive survey papers on important parallel algorithms for solving problems arising in the major areas of numerical linear algebra--direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers, plus an extensive up-to-date bibliography (2,000 items) on related research.
| Author | : Geoffrey C. Fox |
| Publisher | : |
| Total Pages | : 592 |
| Release | : 1988 |
| Genre | : |
| ISBN | : 9780138234690 |
| Author | : David B. Kirk |
| Publisher | : Newnes |
| Total Pages | : 519 |
| Release | : 2012-12-31 |
| Genre | : Computers |
| ISBN | : 0123914183 |
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
