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Author: Gerald Tomas
Publisher: Springer Science & Business Media
ISBN: 9783540577386
Category : Computers
Languages : en
Pages : 328
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Book Description
The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.
Author: Gerald Tomas
Publisher: Springer Science & Business Media
ISBN: 9783540577386
Category : Computers
Languages : en
Pages : 328
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Book Description
The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.
Author: Gerald Tomas
Publisher:
ISBN: 9783662176740
Category :
Languages : en
Pages : 328
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Book Description
Author: Gerald Tomas
Publisher:
ISBN:
Category :
Languages : it
Pages : 310
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Book Description
Author: John T. Stasko
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 54
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Book Description
Author: Michael A. Heroux
Publisher: SIAM
ISBN: 9780898718133
Category : Computers
Languages : en
Pages : 421
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Book Description
Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
Author: J. J. Dongarra
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 386
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Book Description
Evaluates the state-of-the-art and future trends in software for parallel computer programmers. Topics covered include: visualization tools for performance debugging; studies of the behaviour of parallel program execution; and programming tools.
Author: University of Oregon. Department of Computer and Information Science
Publisher:
ISBN:
Category :
Languages : en
Pages : 8
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Book Description
Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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Book Description
Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.
Author: Janice E. Cuny
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 17
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Book Description
If this interpretation succeeds, the resulting animation is easily understood; if it fails, the programmer can be assured that the failure was not an artifact of the visualization. Here we demonstrate that these techniques can be generally applied to enhance visualizations of a variety of types of data as it is produced by parallel, MIMD computations."
Author:
Publisher: DIANE Publishing
ISBN: 9781422318928
Category :
Languages : en
Pages : 20
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Book Description
